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Do you want to join a team where the mission is meaningful, the challenges are complex, and you can directly see the results of your hard work? Lundbeck is a global biopharmaceutical company focusing exclusively on brain health. With more than 70 years of experience in neuroscience, we are committed to improving the lives of people with neurological and psychiatric diseases. Lundbeck employees are inspired and driven by our purpose to advance brain health and transform lives. Join us on our journey of growth! Remote Opportunity - Open to candidates anywhere in the greater United States SUMMARY: We are seeking an experienced and innovative Data Science Modeler to join our Advanced Analytics team at Lundbeck. In this role, you will support the measurement and analysis of marketing programs by leveraging advanced analytics and machine learning techniques to drive insights while driving innovation in AI. You will collaborate with cross-functional teams to develop advanced predictive models, enhance reporting capabilities, and contribute to the strategic direction of our marketing initiatives. ESSENTIAL FUNCTIONS: * Design, implement, and validate predictive models to assess the effectiveness of marketing programs and campaigns. * Hands on building machine learning models (classification and regression) for customer segmentation and targeting. * Analyze large datasets to identify trends, patterns, and insights that inform marketing strategies and decision-making. * Develop and deploy machine learning algorithms to optimize marketing efforts and enhance customer targeting. * Implement comprehensive reporting and visualization tools to communicate findings and recommendations effectively to senior leadership and stakeholders. * Work closely with marketing, analytics, IT, and agency partners teams to ensure data integrity, accessibility, and alignment with business objectives. * Stay up-to-date with industry trends and emerging technologies in AI and machine learning, promoting a culture of continuous improvement and innovation within the organization. * Provides technical expertise across the team * Supervise vendor resource on day to day tasks * Ensure thorough documentation of methodologies, processes, and model performance to ensure reproducibility and knowledge sharing. REQUIRED EDUCATION, EXPERIENCE, AND SKILLS: * Accredited Bachelor’s degree * 5+ years of experience in data science, statistics, analytics, or a related field, with a focus on marketing analytics. * Proven experience in leading analytic projects and hands on developing predictive models and machine learning algorithms, including Marketing Mix Modeling (MMM), Multi-Touch Attribution (MTA), customer segmentation and lead scoring. * Experience in vendor management working with multiple vendors and overseeing data collection processes. * Proficiency in programming languages such as Python, R, or SQL. * Experience with machine learning frameworks (e.g., TensorFlow, Scikit-learn). * Experience with data visualization tools (e.g., Tableau, Power BI) and statistical analysis software. * Strong analytical and problem-solving skills, with the ability to interpret complex data and translate it into actionable insights. * Excellent verbal and written communication skills, with the ability to present findings to both technical and non-technical audiences. * Demonstrated ability to lead and motivate teams, manage projects, and drive strategic initiatives. * Ability to work collaboratively in a fast-paced, dynamic environment. PREFFERED EDUCATION, EXPERIENCE, AND SKILLS: • Strong Preference to be based in Deerfield, IL Office, • Accredited bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field. or accredited master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field., • Cross-industry experience, with a demonstrated ability to apply analytics techniques in diverse contexts (e.g., retail, finance, healthcare, technology). TRAVEL: * Willingness/Ability to travel up to 25% domestically. International travel may be required • If based remotely, additional travel may be required to Deerfield, IL, to meet the needs of the role and the business The range displayed is a national range, and if selected for this role, may vary based on various factors such as the candidate’s geographical location, qualifications, skills, competencies, and proficiency for the role. Salary Pay Range: $150,000 - $175,000 and eligibility for a 15% bonus target based on company and individual performance. Benefits for this position include flexible paid time off (PTO), health benefits to include Medical, Dental and Vision, and company match 401k. Additional benefits information can be found on our ___ Applications accepted on an ongoing basis. #LI-BK1 Why Lundbeck Lundbeck offers a robust and comprehensive benefits package to help employees live well and protect their health, family, and everyday life. Information regarding our benefit offering can be found on the ___. Lundbeck is committed to working with and providing reasonable accommodations to disabled veterans and other individuals with disabilities during our employment application process. If, because of a disability, you need a reasonable accommodation for any part of the application process, please visit the ___. Lundbeck is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status, and any other characteristic protected by law, rule, or regulation. Lundbeck participates in ___.

You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you. As a Software Engineer II at JPMorgan Chase within the Commercial and Investment Bank, you will be part of an agile team dedi

Job Description Technical Product Senior Manager US-IL-Chicago Department: Data and AI Summary The Technical Product Senior Manager is a senior leader who combines deep technical expertise with strong business acumen. Serving as the firm’s business-facing lead for workflow automation initiatives, this role ensures complex business needs are translated into clear, actionable, and technically sound solutions. The Senior Manager must be equally adept at hands-on technical work—building automations when needed, reviewing architectures, validating feasibility, and leveraging AI tools—as well as leading teams to deliver high-quality outcomes under tight timelines. By fluently bridging business priorities with technical execution, this role drives alignment, accelerates adoption of intelligent automation, and enables scalable AI-driven workflow solutions across the firm. This hybrid role blends the capabilities of a technical product senior manager, technical lead, and strategic business partner, making it pivotal to shaping and delivering the firm’s Data & AI strategy. Duties and Responsibilities • Lead the intake process for workflow automation and AI initiatives, ensuring requests are captured, assessed, and prioritized by business value and technical feasibility., • Manage the product backlog, ensuring delivery teams focus on the right priorities and maintain momentum on high-impact initiatives., • Serve as the primary business-facing lead, engaging with stakeholders to clarify objectives, align expectations, and drive consensus on scope and priorities., • Review and validate solution architectures, technical approaches, and platform selections, ensuring alignment with firm standards and scalability needs., • Partner with engineering leads to assess feasibility, allocate resources, and sequence work to maximize impact., • Provide hands-on technical leadership when needed—evaluating tools, building prototypes, or testing automation concepts to accelerate delivery., • Influence the firm’s Data & AI roadmap by identifying emerging opportunities, aligning business priorities, and advising leadership on automation and AI adoption strategies., • Track and communicate initiative progress, proactively identify blockers, and facilitate resolution to keep projects on schedule., • Ensure stakeholder feedback is incorporated into roadmap planning and backlog refinement., • Provides strong people leadership, including coaching and mentoring delivery teams, fostering technical excellence, agility, and a culture of continuous improvement. Target Salary Range $180,000 - $200,000 if located in Illinois Qualifications To perform this job successfully, an individual must be able to perform the Duties and Responsibilities (Duties) above satisfactorily and meet the requirements below. The requirements listed below are representative of the minimum knowledge, skill, and/or ability required. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions of the job. If you need such an accommodation, please email (current employees should contact Human Resources). Education and/or Experience: Required: • Bachelor’s degree in Computer Science, Information Systems, Information Technology, Business, or related field; or equivalent professional experience., • Experience with automation platforms, workflow orchestration tools, AI/ML technologies, and cloud-based platforms., • A minimum of 6 years of experience in technical product management, solution delivery, or Agile program management with cross-functional teams., • Proven track record of managing product backlogs and driving prioritization of initiatives by business value and technical feasibility., • Demonstrated ability to engage with business leaders and technical teams, aligning priorities and ensuring outcomes deliver measurable impact., • Experience facilitating intake, roadmap planning, and stakeholder alignment sessions., • Strong technical background, with hands-on experience in reviewing architectures, evaluating platforms, and validating automation or AI solutions., • Familiarity with Agile project management tools such as Jira, Azure DevOps, or similar., • Excellent communication and interpersonal skills, with a demonstrated ability to build consensus and drive collaboration across business and technical stakeholders., • Certified Scrum Product Owner (CSPO) or Certified Scrum Master (CSM)., • Proficiency in process analysis, workflow design, and optimization techniques., • Proficiency in the following technologies, n8n (or equivalent experience in other workflow tools), LLMs, ChatGPT, UiPath (or equivalent experience in other RPA tools), Git, Javascript, C#, Python, Azure Devops – Boards and Test Suites, JIRA and draw.io (or equivalent process mapping tools)., • User experience (UX) knowledge, with an understanding of usability principles and how user needs inform product design., • Experience in the professional services industry (e.g., legal, financial, accounting, consulting)., • Experience leading organizational change and driving adoption of new technologies across business units. The following will also be required of the successful candidate: • Strong organizational skills, • Strong attention to detail, • Good judgment, • Strong interpersonal communication skills, • Strong analytical and problem-solving skills, • Able to work harmoniously and effectively with others, • Able to preserve confidentiality and exercise discretion, • Able to work under pressure #LI-Hybrid #LI-OE1 PI1cf8f31eaa69-25405-38850564

We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Software Engineer III at JPMorgan Chase within the Commercial and Investment Bank, you serve as a seasoned member of an agile team to design and deliver trusted market-leading techn

Aramco energizes the world economy. Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations’ spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization. We are seeking a Communications Data Analyst to join Communications Strategy Department. Communications Strategy Department is a key department within Corporate Communications of Saudi Aramco. The department manages, tracks and executes the companies Advertising Campaigns, Corporate Sponsorships and develops Communication and Content Strategies as well as tracks and monitors the reputation of the company in key target markets around the world. As a Communications Data Analyst you will be responsible to collect, analyze, and interpret large datasets based on established models to provide actionable insights on our company's reputation and brand in different markets and different segments, and suggest data-driven strategies to improve it. As a successful candidate you will be required to perform the following: • Oversee the company’s global quantitative reputation study and supporting qualitative program of focus groups and in-depth interviews, • Oversee the company’s social listening and insights program system which gauges all Saudi Aramco sentiment across digital media platforms incl. traditional media, social media, and digital media and forums., • Oversee company brand measurement and research to identify return-on-investment from advertising and sponsorships, • Develop relevant KPIs and track performance for regular KPI reporting, • Coordinate and collaborate with internal partners to track and measure impacts across events, communications and public relations activities, • Manage the company’s central hub and repository of reputation and brand research and data, • Manage contracting and invoicing associated with the contracted agencies, • Conducting high-level statistical analysis on available datasets for integrated driver analysis, • Bachelor degree In Statistics, Computer Science, Data Science, or related discipline from an accredited university. Advanced degree is a plus., • 15+ years of experience in data science, market research or analytics, • Strong project management experience, • Demonstrated ability to draw insights from and understand structured and unstructured data, • Ability to work with technical tools such as: SPSS, Power BI, and Tableau in addition to Pulsar and other audience intelligence software, • Advanced written, presentation, and verbal communication and people skills; must be adept at relating communicating and presenting data to non-experts/non-technical professionals, • Proficiency in languages like Python, R and SQL is required Work Schedule: Full Time - To be specified in Job offer Job posting start date: 07/01/2025 Job posting end date: 12/31/2025 Working environment Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly. At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development. We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

Position: Back-end platform developer Location: Downtown Chicago – Hybrid – onsite Tuesday and Thursday Salary: $130k-$140k/yr (w/ bonus structure) Interview process: 2 to 3 virtual, 1 onsite final Required Skills: • 5+ years of hands-on web development., • Node.js and Python back-end development experience, • Product information management system experience – PIM., • Extensive experience designing, developing, and maintaining RESTful APIs and data integration pipelines., • Informatica P360 experience., • Understanding of front-end technologies – JavaScript., • Data processing frameworks – Apache Spark, Apache Kafka, etc., • Middleware/API solutions experience – Azure API getaway, webmethods, etc., • Database management experience – SQL, MySQL, MongoDB, PostgreSQL, etc., • Knowledge of ETL processes and tools., • Ingestion – processing and transformation (ETL) – storage – analysis – delivery, • Any relevant certifications., • Knowledge of data governance frameworks and compliance standards. Our client is looking for 3 back-end developers to manage, maintain, and optimize the company’s PIM system. They will be responsible for developing and maintaining back-end platforms that facilitate the integration of PIM data with ERP, CRM, and other internal and external systems that consume or produce product data. Compensation: $130k to $140k per year annual salary. [If client has provided an exact salary, then no need to use a range; also, if the client has provided an hourly rate, then use same hourly language from the Contract/Contract-to-Hire section above.] Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role include: [description should be provided by the client since this is for a perm position- they will not receive IG benefits. If client does not provide it upon our request, we can insert something generic like "Benefit packages for this role may include healthcare insurance offerings and paid leave as provided by applicable law."]

Location: Open for Peoria, IL, Dallas, TX, Atlanta, GA as well Role and Overview of the role Looking for an EHS systems technician to help with some digital management. looking for a candidate who has some strong .NET development capabilities as well as some Power BI,Power Apps, Power Automate work, and then just someone who has good people skills and would be able to interface with just some of the clients, customers, and leadership team. Top Skills: l .Net developer (C#, C) l Microsoft Power Platform, Power BI, Power Apps l Managing Change, Good people skills, Able to interface with just some of clients, customers, and leadership team. able to work with a broad audience and have good people skills l If someone is strongest in .NET, and have some familiarity and can work through the Power Automate can also be considerable but not the preferred one Education and Experience: l Years of experience: 3-4 with high school or associates; 2 years bachelor’s l Degree requirement: No l Do you accept internships as job experience: Potentially (long term- several months duration hands on experience) Typical task breakdown: - New Safety Stats reports based on data from Catalyst. - New Environmental Metrics dashboards from Salesforce. - Develop dashboards for new modules. - Code urgent .NET applications for quick deliverables. Interaction with team: - Work director is primary contact. - Other cross-functional contacts as needed Team Structure - Will sit on the Global EHS Governance Team Education & Experience Required: - Years of experience: 3-4 with high school or associates; 2 years bachelor’s Top Skills .Net developer, Microsoft Power Platform, Managing Change, Data Analytics Additional Technical Skills (Required) - .NET Developer - Microsoft Power Platform - R - Python - Data Analytics Soft Skills (Required) - Ability to manage change

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Hi Connections, Hope this email finds you well. Have an urgent position for Sr GCP Data Engineer with 12+ Years exp which is going to be 100% remote who should have very good healthcare domain expertise. Please start sharing your resume at . Role and Responsibility - Required Skills & Qualifications 12+ years of experience in data engineering or data platform development. Strong hands-on experience with Google Cloud Platform (GCP) — especially BigQuery, Cloud Storage, Dataproc, Pub/Sub, and Composer (Airflow). Expertise in Python and SQL for ETL, data transformation, and orchestration. Experience with Apache Airflow DAG development and scheduling best practices. Strong understanding of data warehouse and data lake concepts. Knowledge of Spark or PySpark for big data processing. Familiarity with CI/CD pipelines, Git, and Terraform for infrastructure automation.

Locations: Open for Dallas, TX, Peoria, IL, Phoenix, AZ, Cary, NC as well Typical task breakdown: - Administer and maintain GPU-accelerated servers and clusters, including NVIDIA A100, H100, and other high-end GPU sets. - Manage and optimize NVIDIA software stack components such as CUDA, cuDNN, TensorRT, NCCL, and NGC containers. - Monitor system performance, troubleshoot hardware/software issues, and ensure high availability of AI infrastructure. - Collaborate with DevOps and AI teams to support containerized workflows (Docker, Kubernetes) and distributed training environments. - Implement security best practices and ensure compliance with internal and external standards. - Lead upgrades, patching, and lifecycle management of GPU servers and related infrastructure. - Provide documentation, automation scripts, and training for internal teams. Work environment: Candidates must be able to go into office 1 day a week and eventually go into office 5 days a week when notified. Education & Experience Required: - Bachelor’s Degree with a minimum of 8 years work experience, 5+ years of experience in server administration, with at least 3 years focused on NVIDIA GPU-based systems Technical Skills: - 5+ years of experience in server administration, with at least 3 years focused on NVIDIA GPU-based systems. - Deep understanding of Linux system administration, especially in HPC or AI environments. - Hands-on experience with NVIDIA GPU drivers, CUDA toolkit, and performance tuning. - Familiarity with Slurm, Kubernetes, or other job scheduling and orchestration tools. - Experience with monitoring tools (e.g., Prometheus, Grafana) and infrastructure automation (e.g., Ansible, Terraform). - Strong scripting skills (Bash, Python, etc.). - Excellent problem-solving and communication skills. (Desired) - NVIDIA Certified Professional or similar credentials. - Experience with multi-GPU and multi-node training setups. - Familiarity with AI/ML frameworks (e.g., PyTorch, TensorFlow) and their GPU dependencies. - Exposure to cloud-based GPU infrastructure (AWS, Azure, GCP).

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to: * Career development with an international company where you can grow the career you dream of. * Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. * An excellent retirement savings plan with high employer contribution · Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. * A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. * A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. For years, Abbott’s medical device businesses have offered technologies that are faster, more effective, and less invasive. Whether it’s glucose monitoring system, innovative therapies for treating heart disease, or products that help people with chronic pain or movement disorders, our medical device technologies are designed to help people live their lives better and healthier. Every day, our technologies help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine fingersticks. What You’ll Do The Principal ML Engineer will work from our Chicago, Willis Tower office within the Medical Devices Digital Solutions organization. In this role, you will lead the technical execution of Abbott’s Medical Devices Digital (MDD) AI initiatives, bridging advanced algorithm research with scalable engineering solutions. You will be vital in developing and maintaining a robust AI development framework, establishing production-grade MLOps capabilities, and collaborating closely with data scientists, infrastructure specialists, and algorithm teams to ensure effective AI solution deployments. Main Responsibilities * Lead end-to-end ML solutions development and delivery, including data ingestion, feature engineering, training, validation, deployment, and monitoring. * Architect a highly available, secure, scalable cloud/on-prem hybrid ML infrastructure. * Engage directly with ML scientists, contribute to algorithm development, and act as the team’s bridge/glue between science and engineering. * Partner closely with algorithm scientists, translating innovative concepts into reliable, production-ready software. * Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance. * Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as a Medical Device (SaMD) guidelines. * Evaluate and pilot emerging technologies, including large language models, multimodal machine learning techniques, and advanced hardware accelerators. * Mentor and guide ML engineers and data scientists, establish coding standards, and conduct detailed design and architectural reviews. Required Qualifications * Bachelors Degree (± 16 years) in Computer Science, Engineering Mathematics, or related field * Minimum 10 years with 10+ years of experience, Master’s Degree with 7+ years of related experience, or Ph.D. with 2+ years of related experience * Experience in building and deploying Machine Learning solutions using various ML algorithms and hands-on experience with Python programming * Experience in building IT use cases / solutions especially around AI/ML cognitive services and platforms, Model productionization, and CICD Automation. * Excellent understanding of Machine Learning techniques and proficiency in feature analysis, algorithm selection and model hyperparameter tuning * Experience of senior executive/leadership engagement * Exposure to various aspects of architecture practices and frameworks: business, application, data, security, infrastructure and governance * Experience with NLP/NLG, AI Conversational Agents & Other Generative AI, and Software development lifecycles * Experience with Azure OpenAI, Azure Databricks, CloudDBs, * Experience in reviewing and selecting Technical and Applications Architectures solutions * Certifications and specializations in AI/ML, LLMs and Cloud platforms * Excellent oral, written and presentation communication skills * Preferred team leadership experience and demonstrated mentorship capabilities Preferred Qualifications * PhD in Computer Science, Data Science, Data Engineering, or related field * Medical Device experience * Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products) is preferred. * Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy. * Experience with microservices architecture and distributed systems. * Publications, patents, or notable contributions to open-source projects. * Experience with FDA 510(k) submissions and clinical-grade ML product development. * Background in signal processing, computer vision, or multimodal learning. * Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning. The base pay for this position is $111,300.00 – $222,700.00. In specific locations, the pay range may vary from the range posted.

Company Description About Adtalem Global Education Adtalem Global Education is a national leader in post-secondary education and leading provider of professional talent to the healthcare industry. Adtalem educates and empowers students with the knowledge and skills to become leaders in their communities and make a lasting impact on public health, well-being and beyond. Through equitable access to education, environments that nurture student success, and a focus on expanding and diversifying the talent pipeline in healthcare, Adtalem is building a brighter future for communities and the world. Adtalem is the parent organization of American University of the Caribbean School of Medicine, Chamberlain University, Ross University School of Medicine, Ross University School of Veterinary Medicine and Walden University. We operate on a hybrid schedule with four in-office days per week (Monday–Thursday). This approach enhances creativity, innovation, communication, and relationship-building, fostering a dynamic and collaborative work environment. Visit ___ for more information, and follow us on ___ and ___. Job Description Opportunity at a Glance The Manager of Data Science will lead a dynamic team of data scientists responsible for building, deploying, and maintaining advanced analytic and machine learning models that drive business value across the organization. The Manager will work closely with both the Advanced Analytics team's leadership and stakeholders across various functions within the organization to understand needs and requirements, produce reliable, relevant, and quality data. This role combines technical expertise with strong leadership skills to guide strategic data science initiatives and foster a culture of innovation and excellence, and will be responsible for a team of direct reports. The Manager of Data Science will report to the Director of Data Science. Responsibilities • Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds., • Develop and execute on projects and initiatives on the data science roadmap that align with business objectives., • Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions., • Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations., • Oversee the development of machine learning models, statistical analyses, and predictive algorithms., • Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies, • Ensure model quality, performance, and reliability through robust validation and testing frameworks., • Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance., • Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences., • Translate analytic findings into simple, actionable, and practical solutions and recommendations., • Synthesize recommendations into senior-leadership-ready presentations with recommended actions., • Work within cross-functional and cross-institutional project teams to solve business problems., • Establish and maintain operational standards and documentation practices that ensure data integrity., • Ensure compliance with data privacy regulations and applicable ethical principles., • Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field. Required, • 7+ years Experience in data science or analytics roles., • 3+ years Experience leading technical teams and employees, either through direct People Management or through projects., • Demonstrated success with agentic workflows and GenAI in data science product solutions, • Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)., • Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc., • Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)., • Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server., • Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms., • Advanced applied statistics skills, such as distributions, statistical testing, regression, etc., • Ability to lead, manage, and develop employees., • Track record of helping organizations to leverage analytics to achieve documented business improvement., • Proven project management and people development skills., • Excellent written and verbal communication skills, including influencing and consensus-building., • Ability to work in a dynamic and cross-functional environment, where multiple conflicting objectives need to be prioritized and achieved. In support of the pay transparency laws enacted across the country, the expected salary range for this position is between $84836.00 and $153548.75. Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training; geographic location; licensure and certifications; market factors; departmental budgets; and responsibility. Our Talent Acquisition Team will be happy to answer any questions you may have, and we look forward to learning more about your salary requirements. The position qualifies for the below benefits. Adtalem offers a robust suite of benefits including: • Health, dental, vision, life and disability insurance, • 401k Retirement Program + 6% employer match, • Participation in Adtalem’s Flexible Time Off (FTO) Policy, • 12 Paid Holidays For more information related to our benefits please visit: . You are also eligible to participate in an annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Equal Opportunity – Minority / Female / Disability / V / Gender Identity / Sexual Orientation

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you. ## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - Schedule: Remote and asynchronous—set your own hours - Commitment: ~20 hours/week - Duration: Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring - Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - Bonus: Contributor to ML benchmarks - Location: MUST be based in the United States ## Compensation & Terms - Rate: $80-$120/hr, depending on region and experience - Payments: Weekly via Stripe Connect - Engagement: Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Hi, We at Yash Technologies are looking for AI Architect, if you are looking for new opportunity, please share your updated resume. Location:- Chicago,IL (3 days onsite) A highly experienced AI Architect with 12+ years of professional experience in designing, building, and scaling enterprise-grade AI and Generative AI (GenAI) solutions across leading public cloud platforms (Azure, AWS, GCP). The ideal candidate will play a strategic roll in AI solution architecture, data & model engineering, cloud integration, and MLOps/LLMOps frameworks, while working closely with business and technology teams to drive measurable outcomes through AI innovation. Key Responsibilities • AI Solution Architecture:, • Design and architect scalable, secure, and high-performing AI/GenAI solutions leveraging cloud-native services and frameworks., • Enterprise Integration:, • Integrate AI systems with enterprise data platforms, applications, APIs, and workflow systems ensuring end-to-end traceability and performance., • GenAI Solution Design:, • Architect and implement Generative AI solutions using LLMs (OpenAI, Azure OpenAI, AWS Bedrock, Anthropic Claude, Gemini, etc.) for use cases like knowledge retrieval, document summarization, copilots, and content generation., • MLOps & LLMOps:, • Define and implement model lifecycle management pipelines (CI/CD for ML/LLMs governance, observability, and responsible AI frameworks., • Data Architecture Collaboration:, • Work closely with Data Engineering teams to design and optimize feature stores, vector databases, embeddings, and multimodal data pipelines., • Stakeholder Engagement:, • Collaborate with business stakeholders, product managers, and delivery teams to translate business objectives into technical AI solutions and architectures., • Innovation & Research:, • Evaluate emerging AI technologies, models, and frameworks to recommend, • fit-for-purpose solutions that align with enterprise AI strategy., • Performance Optimization:, • Drive optimization of model performance, inference latency, cost, and, • accuracy across cloud environments., • Mentorship:, • Guide data scientists and ML engineers in solution design, best practices, and architectural patterns. Technical Skills & Competencies • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain, LlamaIndex, OpenAI API, etc., • GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering., • Cloud Platforms: Deep understanding of Azure AI (OpenAI, AI Search, ML), AWS (SageMaker, Bedrock, Comprehend, Lex), GCP Vertex AI., • MLOps & LLMOps: Azure ML Pipelines, SageMaker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI., • Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, Weaviate, FAISS, Milvus, or Cosmos DB., • Programming:, • Python, SQL, REST APIs, YAML, Docker, Kubernetes, Terraform (IaC)., • Responsible AI: Understanding of bias detection, model explainability, and governance principles., • Architecture Design: Expertise in TOGAF/Well-Architected frameworks and AI reference architectures. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or related field. • 12+ years of total experience, with at least 4-5 years in AI/ML solution architecture roles., • Proven experience in designing and delivering AI solutions at enterprise scale., • Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred., • Strong communication and presentation skills for stakeholder engagement and executive alignment. Preferred Attributes • Demonstrated success in implementing GenAI copilots, chatbots, or RAG systems., • Ability to balance innovation with pragmatic business value delivery., • Passion for continuous learning and AI community engagement.

About Hireshire Hireshire is a modern staffing and talent acquisition platform helping leading organizations find exceptional talent. We’re now expanding into the AI/ML and Cloud Engineering space and are looking for curious, driven, and analytical minds. Role Overview As a DevOps Engineering Intern at Hireshire, you will collaborate with our engineering and infrastructure teams to learn and apply best practices in automating software development workflows, cloud infrastructure provisioning, and system monitoring. This is a hands-on role designed for enthusiastic learners who want to build foundational skills in DevOps technologies and automation no prior experience required. Key Responsibilities Learn to set up and manage CI/CD pipelines using tools such as Jenkins, GitHub Actions, or GitLab CI. Assist in containerizing applications using Docker and deploying them in Kubernetes environments. Support infrastructure automation using Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation. Monitor system health, performance, and uptime using tools like Prometheus, Grafana, and ELK Stack. Write automation scripts in Python or Bash to streamline repetitive tasks. Collaborate with developers to help troubleshoot basic deployment and build issues. Assist in configuring cloud services (AWS/Azure/GCP) for efficient resource usage and scaling. Understand the basics of configuration management using tools like Ansible or Chef. Requirements Currently pursuing (or recently completed) B.Tech/BE/M.Tech/MSc in Computer Science, IT, Information Systems, or related fields. Basic understanding of operating systems (Linux preferred). Familiarity with version control systems such as Git. Passion to learn DevOps practices, cloud infrastructure, and automation from scratch. Problem-solving attitude, strong curiosity, and attention to detail. Good written and verbal communication skills. Nice to Have (Bonus) Exposure to Python or Bash scripting. Knowledge of cloud platforms (AWS, Azure, GCP). Basic understanding of containerization (Docker). Understanding of CI/CD concepts or Infrastructure-as-Code principles. What You’ll Gain Practical exposure to modern DevOps workflows and cloud infrastructure used by leading tech companies. Real-world experience managing CI/CD pipelines, automating deployments, and monitoring system performance. 1:1 mentorship from experienced DevOps engineers. Internship Certificate & Letter of Recommendation upon successful completion. Opportunity for a Pre-Placement Offer (PPO) at Hireshire or client companies. Stipend Minimum stipend starts at $18/hour, with the possibility of a higher rate based on performance in assessments and interviews.

Hi, We at Yash Technologies are looking for Senior AI Developer, if you are looking for new opportunity, please share your updated resume. Requirement Details: Client Name: YASH Internal Location: Chicago, IL (Day 1 onsite) Work Authorizations: Authorized to Work Position Type: Full-Time Job Title: Senior AI Developer Primary Skills: AI, ML, Python, LLM Description: Job Summary We are seeking a highly skilled and innovative Senior AI Developer to lead the design and development of intelligent backend systems that power cutting-edge AI applications. This role focuses on building scalable, context-aware, and personalized AI solutions using modern frameworks and protocols for LLM orchestration, search, and retrieval. Key Responsibilities • Implement backend systems using Python for AI-driven automation and logic., • Develop and maintain LLM-powered applications using LangChain, LangGraph and Model Context Protocol (MCP)., • Integrate Response APIs and A2A Protocols to enable dynamic and standardized agent communication., • Implement Retrieval-Augmented Generation (RAG) pipelines to enhance LLM responses with external document grounding., • Design and optimize spec comparison logic, user feedback analysis, and personalization models using NLP and ML techniques., • Build robust search and retrieval systems using KNN, hybrid search, and reranker models for semantic relevance., • Ensure observability and debugging through OpenSearch Dashboards and Datadog. Required Skills & Qualifications • 8+ years of experience in backend development with a strong focus on AI/ML systems., • Proficiency in Python and experience with LangChain, LangGraph, and LLM orchestration., • Deep understanding of LLMs, RAG, vector search, and semantic retrieval., • Experience with NLP, classification models, and sentiment analysis., • Familiarity with OpenSearch, Datadog, and observability tools., • Strong grasp of agent communication protocols and context-aware model design., • Ability to work in agile environments and lead technical discussions. Preferred Qualifications • Bachelor's degree in computer science, AI, Machine Learning, or related field., • Experience with personalization engines and dealer-specific adaptation., • Contributions to open-source AI frameworks or research publications., • Knowledge of cloud platforms (AWS, Azure, GCP) and MLOps practices.

Our client is a prominent Global leader dedicated to delivering exceptional experiences with over 1,000 subsidiaries and affiliated brands. With a commitment to innovation and personalized service, they are seeking a Talent Manager to join their team immediately. The Senior Application Engineer is responsible for designing, developing, and deploying enterprise-scale applications across both on-prem and cloud environments. This role combines deep technical expertise in Java, API development, cloud engineering, and modern DevOps practices with strong collaboration and problem-solving skills. The ideal candidate excels in building scalable solutions, driving platform modernization efforts, and supporting cross-functional teams in a fast-paced, dynamic environment. This position is suited for a proactive, detail-oriented engineer who thrives on innovation, continuous improvement, and delivering high-quality application solutions that support business growth. Position Summary: • Design, develop, and deploy enterprise Java (J2EE) and web applications across on-prem and cloud environments., • Build scalable, secure applications and support testing, deployment, and continuous improvement., • Collaborate with engineering, product, architecture, and business teams to define technical requirements and deliverables., • Review code, enforce best practices, and support cross-functional, distributed teams., • Maintain and enhance CRM API and MDM platforms and assist with migrations to cloud architectures., • Support and develop SOAP/REST APIs and data integrations across systems., • Maintain CI/CD pipelines and help transition to cloud-based automation tools., • Troubleshoot issues, review logs, and perform root cause analysis. Minimum Experience: • At least 7 years of application development experience with strong Java, J2EE, and full-stack engineering skills., • Experience building reusable components and working in large-scale enterprise environments., • Hands-on cloud development experience (AWS required; Azure a plus)., • Knowledge of Kubernetes, CI/CD, and modern DevOps practices., • Strong skills in SQL, NoSQL, and cloud databases (Snowflake, PostgreSQL, DynamoDB, Aurora, DB2)., • Proficiency in Java, Python, JavaScript, HTML5, CSS3, Node.js, and related frameworks/tools (Spring, Hibernate, JUnit, Git, etc.)., • Strong communication, problem-solving, collaboration, and project management abilities., • Self-driven, detail-oriented, and comfortable working in ambiguous environments. MMD Services Inc. is an equal opportunity employer. All applicants are considered for all positions without regard to race, religion, color, sex, gender, sexual orientation, pregnancy, age, national origin, ancestry, physical/mental disability, medical condition, military/veteran status, genetic information, marital status, ethnicity, alienage or any other protected classification, in accordance with applicable federal, state, and local laws.

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that is bold, industrious and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out What if we told you that you can move to an exciting role in an entrepreneurial organization without the usual risks associated with it? We understand that you are looking for growth and variety in your career at this point and we would love you to join us in our journey and grow with us. At Indegene, our roles come with the excitement you require at this stage of your career with the reliability you seek. We hire the best and trust them from day 1 to deliver global impact, handle teams and be responsible for the outcomes while our leaders support and mentor you. If this excites you, then apply below. Role: Databricks Architect Description The Databricks Architect - Lead is a critical role within our Data and Analytics practice, tasked with designing, implementing, and optimizing advanced data architectures using Databricks. This role involves close collaboration with data scientists, analysts, and business stakeholders to deliver scalable, secure, and efficient data solutions that align with organizational goals. The ideal candidate will bring deep expertise in Databricks, Apache Spark, and cloud platforms, with a proven ability to lead complex data architecture initiatives. In this role, you will architect data lakes, data warehouses, and real-time processing systems, optimize Databricks clusters for performance and cost, and develop robust ETL/ELT pipelines. You will also ensure data governance and compliance, integrate Databricks with cloud ecosystems, and stay ahead of industry trends to drive innovation. Reporting to the Director of Data Architecture, you will play a key role in shaping our data strategy and delivering business value. Responsibilities • Architecture Design, • Design and maintain scalable data architectures using Databricks, including data lakes, data warehouses, and real-time processing systems., • Create detailed blueprints for data processes and flows, ensuring alignment with business objectives and technical requirements., • Cluster Management, • Configure, manage, and optimize Databricks clusters to achieve high performance and cost efficiency., • Implement best practices for cluster management, including autoscaling, cluster policies, and performance tuning., • Pipeline Development, • Develop and implement ETL/ELT pipelines using Databricks and Apache Spark to handle large-scale data processing., • Ensure pipelines are efficient, scalable, and meet performance and reliability standards., • Data Governance, • Enforce data governance policies, security measures, and compliance standards within the Databricks environment., • Leverage tools like Unity Catalog to manage data governance and implement IAM roles, VPCs, and encryption protocols., • Collaboration, • Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver impactful solutions., • Communicate complex technical concepts clearly to diverse audiences, fostering alignment and collaboration., • Integration, • Integrate Databricks with cloud services such as AWS S3, Azure Data Lake Storage, or Google Cloud Storage to build a cohesive data ecosystem., • Ensure seamless data flow and interoperability with existing systems and tools., • Innovation, • Stay updated on the latest advancements in Databricks, Delta Lake, Databricks SQL, and related technologies., • Apply industry best practices to enhance data capabilities and drive continuous improvement. About You (Desired Profile) • 10-15 years of experience in data architecture, with a strong focus on Databricks and Apache Spark., • Proven expertise in designing and implementing data lakes, data warehouses, and real-time processing systems., • Hands-on experience with Databricks cluster management, optimization, and performance tuning., • Pharmaceutical data knowledge is required and mandatory, • Strong proficiency in developing ETL/ELT pipelines using Apache Spark., • In-depth knowledge of data governance, security, and compliance in cloud environments., • Exceptional communication and collaboration skills, with the ability to engage effectively with cross-functional teams., • Extensive experience with cloud platforms (AWS, Azure, or GCP) and integrating Databricks with cloud services., • Proficiency in programming languages such as Python, Scala, Java, SQL, or R., • Bachelor’s degree in computer science, Data Science, or a related field; an advanced degree (e.g., Master’s) is a plus., • Certifications in Databricks, AWS technologies REQUIRED. EQUAL OPPORTUNITY Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.

Quantitative Trader | Chicago Location: Chicago Industry: Proprietary Trading / Quant Research Experience: 7+ years in HFT Terms: Full-time, In Office 💰 Compensation: Highly Competitive + Bonus + Benefits Our client, a fast-growing prop trading firm, is seeking a Senior Quantitative Trader to own and run high-frequency strategies across global markets. Known for cutting-edge low-latency infrastructure and a collaborative culture, the firm offers a platform for traders who want impact and scale. What You’ll Do • Design, test, and deploy automated short-horizon strategies, • Trade live with full ownership of PnL, • 7+ years in HFT with verifiable PnL & strong Sharpe, • Experience developing live strategies in C++/C, • Strong data analysis in Python/R/Matlab 📩 | 🔗 ___

A prestigious company is looking for a Senior Linux Platform Engineer. This role is focused on Linux infrastructure, performance, reliability, etc. Also needed for this role is experience with Python, Bash, Ansible, SaltStack, Kernel Tuning, Kubernetes, etc. Responsibilities: • Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability., • Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads., • Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services., • Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack., • Building and maintaining RPM packages and internal software repositories., • Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration., • Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime., • Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration., • Participating in an on-call rotation to support critical infrastructure services., • 5+ years of experience in Linux systems administration and infrastructure/platform engineering., • Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift)., • Strong scripting and automation skills in Python and Bash., • In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics., • Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management., • Familiarity with observability tools such as Prometheus, Grafana, or Loki., • Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar.

AI Architect A highly experienced AI Architect with 10–12 years of professional experience in designing, building, and scaling enterprise-grade AI and Generative AI (GenAI) solutions across leading public cloud platforms (Azure, AWS, GCP). The ideal candidate will play a strategic role in AI solution architecture, data & model engineering, cloud integration, and MLOps/LLMOps frameworks, while working closely with business and technology teams to drive measurable outcomes through AI innovation. Key Responsibilities • AI Solution Architecture:, • Enterprise Integration:, • GenAI Solution Design:, • MLOps & LLMOps:, • Data Architecture Collaboration:, • Stakeholder Engagement:, • Innovation & Research:, • Performance Optimization:, • Mentorship: Technical Skills & Competencies • AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn, Hugging Face, Lang Chain, LlamaIndex, Open AI API, etc., • GenAI & LLMs: Experience with GPT-4/4o, Claude, Gemini, Mistral, LLaMA, fine-tuning, RAG (Retrieval-Augmented Generation), and prompt engineering., • Cloud Platforms: Deep understanding of Azure AI (OpenAI, AI Search, ML), AWS (SageMaker, Bedrock, Comprehend, Lex), GCP Vertex AI., • MLOps & LLMOps: Azure ML Pipelines, Sage Maker Pipelines, MLflow, Kubeflow, or custom CI/CD for AI., • Data & Integration: Experience with Data Lakes, Databricks, Synapse, Kafka, REST/GraphQL APIs, and vector DBs like Pinecone, We aviate, FAISS, Milvus, or Cosmos DB., • Programming: Python, SQL, REST APIs, YAML, Docker, Kubernetes, Terraform (IaC)., • Responsible AI: Understanding of bias detection, model explain ability, and governance principles., • Proven experience in designing and delivering AI solutions at enterprise scale., • Cloud certifications (Azure AI Engineer, AWS ML Specialty, or GCP ML Engineer) preferred., • Strong communication and presentation skills for stakeholder engagement and executive alignment.

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. Job Description As part of our continued investment in AI-driven innovation, we are looking for a Principal AI Engineer to join our growing AI team. This is a hands-on role delivering innovative solutions for the healthcare enterprise. The ideal candidate will bring deep expertise in modern AI systems, multi-agent systems & frameworks, LLM-based architecture, and software engineering. Key Responsibilities: • Architect and develop enterprise-scale multi-agent systems leveraging LLMs and autonomous agent frameworks using Google ADK, Agentspace, MCP, RAG, and A2A orchestration., • Design and implement RAG pipelines using BigQuery and Vertex AI Engine for knowledge grounding and factually accurate responses., • Optimize agents for orchestration, knowledge grounding, multi-step reasoning, and decision-making., • Design and implement distributed training workflows, online inference systems, and low latency serving architectures optimized for real-world performance, using Google cloud-native services., • Engineer scalable, secure, compliant and production-grade AI fabric and AI agent workflows using Vertex AI and modern cloud-native technologies., • Create reusable agent orchestration layers, observability hooks, and governance frameworks that accelerate Agentic AI adoption across TAG brands., • Partner with cross-functional stakeholders in translating business requirements into technical specifications., • Own the full AI development lifecycle – from data collection and implementation to deployment and monitoring., • Implement intelligent observability and automation strategies to ensure AI system reliability and performance at scale. Qualifications & Experience: • Ph.D. Master’s degree in AI/ML, Computer Science, or related technical field., • 2+ years of experience in Generative AI and Agentic AI engineering., • 10+ years of experience in AI/ML engineering, software engineering, or platform architecture., • Proven track record of building and deploying production-grade AI/ML systems at scale., • Deep understanding of modern AI model architectures (e.g., transformers, diffusion models) and system design., • Strong hands-on expertise with Vertex AI (including model training, pipelines, orchestration, deployment, and monitoring) and Google’s Agentic AI stack., • Hands-on with one or more of these agent orchestration frameworks: Google ADK/Agentspace, LangChain, LangGraph, LlamaIndex, CrewAI or AutoGen., • Proficiency in Python, LLM integration workflows, MCP (Model Context Protocol) for tool integration and A2A (Agent-to-Agent) orchestration for multi-agent workflows., • Expertise in distributed training, online inference, and low latency serving architectures., • Experience with Kubernetes, Cloud Run, and Dataflow/PubSub for scalable deployment. Preferred Qualifications: • Experience with AI governance frameworks, responsible AI practices, and observability (Vertex AI Model Monitoring, BigQuery logging, Looker dashboards)., • Contributions to open-source AI projects or publications in leading AI/ML conferences., • Experience with multi-modal models and advanced optimization strategies & frameworks. Additional Information: • This role is onsite 4 days/week in our Fulton Market office (Chicago, IL)., • Competitive benefits package including paid time off, health, dental, vision, and 401(k) savings plan with match. Annual Salary Range: $205,000-$240,000/year, with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here:

Job Title: Principal, Solution Architecture Location: Chicago, IL (Hybrid) Position Type: Fulltime Job Description: What You'll Do The Technology Engineering Principal Solution Architect is responsible for providing technical expertise and architectural solutions for Microsoft 365 ecosystem, with focus on identity management and optimization of Microsoft cloud services. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. • Design and implement vendor-neutral identity and access management architecture that integrates with various enterprise systems, • Develop comprehensive IAM strategies leveraging best practices across multiple platforms while maintaining strong expertise in Microsoft identity solutions, • Analyze and communicate industry trends in identity management technologies that benefit IT management, • Drive short- and long-term architecture strategy for enterprise identity services, including integration with Microsoft 365 services, Entra ID, and other identity providers, • Conduct end-to-end technical plan design for identity management solutions across multiple platforms, • Design and participate in proof of concepts to enable new identity services that work across heterogeneous environments, • Develop architectural designs for implementation of enterprise identity solutions with emphasis on interoperability, • Perform impact analysis and design modifications to existing systems for implementation of new identity services, • Establish identity management standards and ensure compatibility and integration across the enterprise ecosystem, • Ensure teams maintain and execute organizational policies, procedures and controls, configuration management, and release management, • Work with cross-functional teams to train and transition to optimized identity management solutions, • Optimize, document, and support identity management components across platforms, • Take ownership of identity management discipline and manage all Level 2 related issues in the enterprise ecosystem, • Evaluate new tools, technologies, and processes to improve efficiency of identity management systems Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. • Experience managing enterprise identity solutions with strong Microsoft 365 background, • Deep expertise in identity management solutions including Microsoft Entra ID (formerly Azure AD) and other major IAM platforms, • Experience with cloud infrastructure services including virtual desktop solutions, • Strong knowledge of information protection and rights management across platforms, • Good understanding of how different identity services interact in an enterprise environment, • Ability to investigate and perform Root Cause Analysis on reported issues and suggest workarounds before implementing permanent fixes, • Act as a subject matter expert for troubleshooting and resolving complex identity problems across platforms, • Partner effectively with different infrastructure and development teams, • Work independently, prioritize existing projects, and proactively determine areas requiring additional attention, • Collaborate with infrastructure teams, product managers, development teams and architects to provide platform-related knowledge Technical Skills: • Strong expertise in enterprise identity management architectures and implementations, • Deep knowledge of Microsoft Entra ID, Azure AD Connect, and hybrid identity solutions, • Experience with federation technologies and cross-platform identity integration, • Knowledge of information protection and rights management across solutions, • Experience with cloud infrastructure services including virtual desktop solutions, • Experience with automation and scripting for identity management (PowerShell, Python, etc.), • Working knowledge of identity administration tools across platforms, • Experience with API-based identity management, • Knowledge of modern authentication protocols (SAML, OAuth, OIDC, etc.), • Experience with enterprise licensing models and optimization strategies Education and/or Experience: 10+ years of experience in identity management technologies with strong focus on Microsoft identity solutions and cross-platform integration Certificates or Licenses: • Microsoft Certified: Identity and Access Administrator Associate, • Microsoft Certified: Azure Solutions Architect Expert or Microsoft 365 Certified: Enterprise Administrator Expert, • Additional industry certifications such as Certified Identity Management Professional (CIMP) or IDPro certification highly valued, • ITIL Certification(s) If you believe you are qualified for this position and are currently in the job market or interested in making a change, please email me the resume along with contact details at

Principal, Solution Architecture What You'll Do The Technology Engineering Principal Solution Architect is responsible for providing technical expertise and architectural solutions for Microsoft 365 ecosystem, with focus on identity management and optimization of Microsoft cloud services. Primary Duties and Responsibilities: To perform this job successfully, an individual must be able to perform each primary duty satisfactorily. Design and implement vendor-neutral identity and access management architecture that integrates with various enterprise systems Develop comprehensive IAM strategies leveraging best practices across multiple platforms while maintaining strong expertise in Microsoft identity solutions Analyze and communicate industry trends in identity management technologies that benefit OCC to IT management Drive short- and long-term architecture strategy for enterprise identity services, including integration with Microsoft 365 services, Entra ID, and other identity providers Conduct end-to-end technical plan design for identity management solutions across multiple platforms Design and participate in proof of concepts to enable new identity services that work across heterogeneous environments Develop architectural designs for implementation of enterprise identity solutions with emphasis on interoperability Perform impact analysis and design modifications to existing systems for implementation of new identity services Establish identity management standards and ensure compatibility and integration across the enterprise ecosystem Ensure teams maintain and execute organizational policies, procedures and controls, configuration management, and release management Work with cross-functional teams to train and transition to optimized identity management solutions Optimize, document, and support identity management components across platforms Take ownership of identity management discipline and manage all Level 2 related issues in the enterprise ecosystem Evaluate new tools, technologies, and processes to improve efficiency of identity management systems Qualifications: The requirements listed are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the primary functions. Experience managing enterprise identity solutions with strong Microsoft 365 background Deep expertise in identity management solutions including Microsoft Entra ID (formerly Azure AD) and other major IAM platforms Experience with cloud infrastructure services including virtual desktop solutions Strong knowledge of information protection and rights management across platforms Good understanding of how different identity services interact in an enterprise environment Ability to investigate and perform Root Cause Analysis on reported issues and suggest workarounds before implementing permanent fixes Act as a subject matter expert for troubleshooting and resolving complex identity problems across platforms Partner effectively with different infrastructure and development teams Work independently, prioritize existing projects, and proactively determine areas requiring additional attention Collaborate with infrastructure teams, product managers, development teams and architects to provide platform-related knowledge Technical Skills: Strong expertise in enterprise identity management architectures and implementations Deep knowledge of Microsoft Entra ID, Azure AD Connect, and hybrid identity solutions Experience with federation technologies and cross-platform identity integration Knowledge of information protection and rights management across solutions Experience with cloud infrastructure services including virtual desktop solutions Experience with automation and scripting for identity management (PowerShell, Python, etc.) Working knowledge of identity administration tools across platforms Experience with API-based identity management Knowledge of modern authentication protocols (SAML, OAuth, OIDC, etc.) Experience with enterprise licensing models and optimization strategies Education and/or Experience: 10+ years of experience in identity management technologies with strong focus on Microsoft identity solutions and cross-platform integration Certificates or Licenses: Microsoft Certified: Identity and Access Administrator Associate Microsoft Certified: Azure Solutions Architect Expert or Microsoft 365 Certified: Enterprise Administrator Expert Additional industry certifications such as Certified Identity Management Professional (CIMP) or IDPro certification highly valued ITIL Certification(s)

Job Summary: Our client is seeking a Security Engineer to join their team! This position is located in Chicago, Illinois. Duties: • Evaluate proposed systems, networks, and software designs for security risks, • Recommend mitigations and resolve integration issues to ensure secure implementation within existing infrastructure, • Develop, manage, and communicate a comprehensive enterprise-wide security strategy, aligning with organizational goals and stakeholder expectations, • Lead cybersecurity risk assessments, drive mitigation efforts, manage incident response planning, and collaborate with cross-functional teams to support secure design decisions across the organization Desired Skills/Experience: • Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field, • 7+ years of experience in information and cloud security, with a focus on designing and implementing secure cloud computing solutions, • Deep expertise in Azure cloud security, including hands-on experience with tools like Azure Security Center and Microsoft Defender for Cloud, • In-depth knowledge of API security such as: OAuth, OpenID, REST, SOAP, GraphQL with the ability to define secure API design patterns and advocate for best practices, • Proficiency in at least one scripting language such as Python, PowerShell, or Bash Benefits: • Medical, Dental, & Vision Insurance Plans, • Employee-Owned Profit Sharing (ESOP), • 401K offered The approximate pay range for this position starting at $160,000 - 180,000+. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.

Senior Backend Developer - Python $120,000 - $190,000 Chicago, IL Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Experience working at companies with small teams.

Title- Splunk Engineer Location- Chicago, IL Must Have Skills: • at least 3–5 years of hands-on experience with Splunk development, including dashboard creation, query optimization, and alerting., • Strong proficiency in SPL (Search Processing Language) and familiarity with Splunk Enterprise Security or ITSI., • Experience integrating data from various sources (e.g., syslog, APIs, cloud services) into Splunk., • Knowledge of scripting languages such as Python, Bash, or PowerShell for data manipulation and automation., • Familiarity with log management and observability tools beyond Splunk (e.g., ELK stack, Grafana, Prometheus)., • Understanding of security and compliance requirements in logging and monitoring., • Ability to work independently and collaboratively in a fast-paced, agile environment., • Strong analytical and problem-solving skills with attention to detail., • Excellent communication skills to translate technical findings into business-relevant insights." What You'll Do - As a Splunk Developer, you will play a key role in designing, developing, and maintaining Splunk dashboards, alerts, and reports that provide actionable insights across our systems and applications. You’ll collaborate with cross-functional teams to ensure data is collected, parsed, and visualized effectively to support operational and security objectives. Key Responsibilities: • Develop and maintain Splunk dashboards, queries, and alerts to monitor system performance, application health, and security events., • Work with stakeholders to gather requirements and translate them into effective Splunk visualizations and reports., • Optimize and troubleshoot existing Splunk configurations to improve performance and usability., • Integrate data sources into Splunk using forwarders, APIs, and custom scripts., • Support incident response and root cause analysis by providing relevant Splunk data and insights., • Collaborate with DevOps, Security, and Infrastructure teams to ensure comprehensive logging and monitoring coverage., • Stay current with Splunk best practices, new features, and industry trends to continuously improve our observability capabilities. Preferred Qualifications - • at least 4–5 years of hands-on experience with Splunk development, including dashboard creation, query optimization, and alerting., • Strong proficiency in SPL (Search Processing Language) and familiarity with Splunk Enterprise Security or ITSI., • Experience integrating data from various sources (e.g., syslog, APIs, cloud services) into Splunk., • Knowledge of scripting languages such as Python, Bash, or PowerShell for data manipulation and automation., • Familiarity with log management and observability tools beyond Splunk (e.g., ELK stack, Grafana, Prometheus)., • Understanding of security and compliance requirements in logging and monitoring., • Ability to work independently and collaboratively in a fast-paced, agile environment., • Strong analytical and problem-solving skills with attention to detail., • Excellent communication skills to translate technical findings into business-relevant insights.

Prestigious Financial Institution is currently seeking a Lead Windows and AWS Automation Engineer. Candidate will be responsible for designing, implementing, and supporting hybrid infrastructure solutions across both on-premises and AWS environments, with a strong emphasis on automation, CI/CD, and operational excellence. This role requires hands-on expertise in Windows Server administration, infrastructure-as-code (Terraform, Ansible), image management (Packer/AMI), and virtualization (VMware). Experience with Kubernetes and containerized workloads is a plus. The ideal candidate will blend deep technical skills with a strong focus on automation and collaboration to ensure resilient, scalable, and secure infrastructure. Responsibilities: Administer, support, and optimize Windows Server environments (2016, 2019, 2022) across on-prem and AWS. Design and maintain automated CI/CD pipelines for server builds and AMIs using Jenkins, Terraform, Ansible, and Packer. Manage hybrid infrastructure including VMware-based virtualization (vSphere, ESXi, vCenter) and AWS cloud workloads. Troubleshoot complex system, OS, and application issues; collaborate with vendors and cross-functional teams for resolution. Automate infrastructure provisioning, patching, and operational tasks to reduce manual effort and increase reliability. Participate in security patching, hardening, and vulnerability remediation. Ensure infrastructure aligns with compliance, audit, and change management standards. Provide input on infrastructure modernization initiatives, including container platforms (Kubernetes as a plus). Support on after-hours maintenance as needed. Qualifications Professional Experience: 7+ years of Windows Server engineering and infrastructure support in enterprise environments, with at least 2–3 years in hybrid (on-prem + AWS) environments. Platform Skills: Strong Windows Server expertise; experience with VMware, AWS, and hybrid infrastructure. Exposure to Kubernetes/container platforms is a plus. Solution Design: Proven ability to build automated, reliable, and secure infrastructure solutions leveraging IaC and CI/CD pipelines. Collaboration: Strong teamwork, communication, and ability to partner with application, DevOps, and security teams. Technical Skills Advanced administration of Windows Server 2016, 2019, 2022. Hands-on experience with CI/CD pipelines and automation (Terraform, Ansible, Jenkins, Packer). Experience building and maintaining custom AMIs and golden images. VMware administration (vSphere, ESXi, vCenter) and virtualization concepts. AWS experience with EC2, networking, and hybrid integrations. PowerShell scripting; experience with Python or Bash scripting is a plus. Active Directory and Group Policy administration. Networking fundamentals (TCP/IP, DNS, DHCP, VLANs, firewalls, load balancers). Vulnerability remediation and patch management experience. Kubernetes/container platform experience a plus. Certificates or Licenses Relevant certifications preferred: Microsoft (Windows Server, Azure Administrator) VMware (VCP-DCV or similar) AWS (Solutions Architect – Associate or equivalent) Terraform/Ansible or other automation-related certifications

Our client is seeking a Systems Engineer to support and enhance its Microsoft, virtualization, and cloud infrastructure in a fast-paced trading environment. Responsibilities Administer core Microsoft services (Active Directory, DNS, DHCP, Exchange/Exchange Online, Group Policy). Deploy and maintain Windows Server (2016–2025) and Microsoft cloud services. Configure SSO and federation using SAML, OAuth/OIDC, and SCIM. Manage VMware ESX/vCenter and Horizon VDI environments. Handle operational tickets, support planned/ad-hoc changes, and follow change-management standards. Maintain clear documentation for systems and configurations. Requirements 3+ years’ experience with Windows Server or VMware environments. Scripting skills (PowerShell, Python, Terraform) and familiarity with Git-based version control. Solid understanding of network protocols and server hardware/VM deployment. Strong documentation habits and a process-driven mindset. Ability to troubleshoot production issues in a high-intensity trading environment. Why Join? Join a high-performance engineering team where there are no silos and you’ll have the opportunity to wear many hats across systems, cloud, automation, and virtualization. The firm invests heavily in training and development, giving you the chance to continually grow your skill set while working alongside experienced industry professionals in a truly collaborative environment. Chicago (Hybrid) Base salary between $160,000 - £2000,000 + bonus

Prestigious Financial Institution is currently seeking a Sr. Linux Systems Engineer. Candidate will be responsible for managing and improving our highly automated Linux-based systems and platforms while supporting our broader technology infrastructure with a focus on automation. candidate will be working collaboratively with our technology and operations teams to ensure the highest levels of system performance, security, and availability. Responsibilities: Managing and improving our Linux-based infrastructure with a focus on performance, reliability, and scalability. Designing, deploying, and maintaining on-premises Kubernetes clusters and containerized workloads. Developing and maintaining system-level software, middleware, and APIs to support internal platforms and services. Automating system workflows and infrastructure tasks using Python, Bash, and configuration management tools like SaltStack. Building and maintaining RPM packages and internal software repositories. Collaborating with Application Support (SRE), Development, and Security teams to ensure secure, automated CI/CD and platform integration. Diagnosing and resolving complex system-level issues involving the OS, network, or container runtime. Implementing hardened security configurations, including system hardening, secure communications, and identity/access integration. Participating in an on-call rotation to support critical infrastructure services. Documenting architectures, tools, and operational processes to support long-term maintainability. Qualifications: 5+ years of experience in Linux systems administration and infrastructure/platform engineering. Production experience managing Kubernetes, preferably in bare-metal or on-premises environments (e.g., with kubeadm, RKE, or OpenShift). Strong scripting and automation skills in Python and Bash. In-depth knowledge of Linux internals, kernel tuning, and performance diagnostics. Hands-on experience with SaltStack (preferred), Puppet, or Ansible for configuration management. Familiarity with observability tools such as Prometheus, Grafana, or Loki. Solid understanding of core infrastructure protocols and services (TCP/IP, DNS, NTP/PTP, DHCP, etc.). Experience managing CI/CD pipelines with tools such as Jenkins, GitLab, or similar. Strong troubleshooting skills and a proactive approach to problem-solving. Preferred Skills: Certifications such as RHCE or LFCE. Experience with container runtimes (Containers, Docker) and registry management. Knowledge of GitOps workflows or tools like ArgoCD or Flux. Background in security best practices and compliance (e.g., CIS benchmarks, STIGs). Prior experience in highly regulated or low-latency environments.

Duties: You will be responsible for: (1) Designing, deploying, securing, and managing enterprise cloud and hybrid infrastructure across compute, storage, database, networking, and security domains using services within Amazon Web Services (including EC2, Lambda, S3, RDS, VPC, IAM, and related technologies); (2) Implementing and maintaining Infrastructure as Code (IaC) using tools such as GitHub, Pulumi, or AWS CloudFormation to automate provisioning, configuration, and lifecycle management; (3) Continuously evaluating and optimizing AWS environments to ensure performance, availability, scalability, cost efficiency, and operational stability; (4) Designing, building, and maintaining CI/CD pipelines using GitHub Actions, AWS CodePipeline, or Jenkins, including integration of automated testing, security scanning, and compliance checks (e.g., Orca Security or similar tools); (5) Leveraging automation and AI-based tools to strengthen the efficiency and intelligence of CI/CD and DevOps processes; (6) Implementing security best practices across identity and access management, network architecture, encryption, monitoring, logging, and incident response in coordination with the Information Security team; (7) Supporting vulnerability management, incident response, remediation, and follow-up to ensure secure and compliant cloud operations; (8) Setting up and maintaining monitoring, logging, alerting, and SIEM integrations using platforms such as AWS CloudWatch, LogicMonitor, Splunk, or Orca Security; (9) Troubleshooting infrastructure, networking, and deployment issues across hybrid environments and participating in weekly on-call rotation for production support; (10) Managing Windows and Linux patching, BC/DR capabilities, and policy governance using AWS Systems Manager, Cloud Custodian, and related tooling; (11) Collaborating with developers, system administrators, engineers, and business stakeholders to design and deliver reliable and secure cloud solutions; (12) Evaluating, recommending, and implementing new tools, frameworks, and automation opportunities to enhance performance, availability, security, and operational maturity; (13) Documenting system standards, architecture diagrams, operating procedures, and best practices to ensure alignment, maintainability, and operational excellence; (14) Contributing to a culture of collaboration, agility, innovation, continuous improvement, and cross-team partnership. Required: A Bachelor’s degree in Computer Science, Information Systems, or a related STEM field is required. Must have 3 or more years of professional experience as a Cloud Engineer, Systems Engineer, or Network Engineer with exposure to DevOps practices, cloud automation, and modern infrastructure. Must have strong, hands-on expertise with AWS compute, storage, networking, database, serverless, and security services, including EC2, Lambda, S3, RDS, CloudFormation, VPC, IAM, and container services such as ECS/EKS. Must have experience building and managing Infrastructure as Code using Pulumi, Terraform, AWS CloudFormation, and scripting languages such as Python, Bash, or Node.js. Must have hands-on experience administering and developing CI/CD pipelines using GitHub Actions, AWS CodeCommit/CodePipeline, or equivalent automation platforms. Must have working knowledge of networking technologies including routing, switching, VPNs, firewalls, and network security principles, along with experience managing hybrid connectivity. Must have familiarity with IAM, SIEM, SASE, and the integration of security within CI/CD pipelines. Must have experience with monitoring and observability tools such as AWS CloudWatch, LogicMonitor, Splunk, Orca Security, or similar enterprise platforms. Must demonstrate strong communication skills, the ability to work closely with peers and stakeholders, and the ability to operate effectively in a fast-paced, dynamic environment. Pluses: AWS certifications such as AWS Certified Solutions Architect – Associate or AWS Certified DevOps Engineer – Associate. Experience in financial services or other regulated industries. Experience supporting governance, compliance, or cloud security programs.