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Come work for a stable organization with a solid plan for growth. Well known Life client has a great opportunity for a talented Actuary who will lead rate-setting and manage pricing for current MYGA/FIA products as well as ensure profitable growth of the company’s annuity book through collaboration with corporate functions. The ideal candidate is an FSA or near-FSA with 7+ years of actuarial experience in life and annuity insurance. Must have a strong understanding of annuity products, the ability to solve complex & ambiguous problems, and proficiency in MG ALFA and Python. Individual annuity pricing experience is a plus. (#57884) Compensation: • Salary range of 170-190K Locations:, • Austin, TX, • Remote

This role could be a major step up in your career. As an Actuarial Associate, you will perform profitability analyses, assist with product development, and help identify emerging trends & risks. The ideal candidate would be a student actuary, ACAS or career ACAS with 4-7 years of actuarial experience, including a strong commercial lines pricing background who can work well with underwriters & non-actuaries. Must possess some business acumen, be an individual contributor, and have strong SQL skills. Experience with R/Python a plus. (#57922) Compensation: * Salary range of $125-155K Locations: • Remote, • San Diego, CA

Entity: Supply, Trading & Shipping Job Family Group: Supply & Trading Group Job Description: About bp Our purpose is to bring together people, energy and markets to power and navigate a changing world. In a time of constant change and possibility we need new talent to pursue commercial opportunities, fueled by world-class insight and expertise. We’re always striving for more innovative digital solutions, sustainable outcomes, and closer collaboration across our company and beyond, and you could be part of that too. Together we continue to grow as the world’s leading energy trader! Job Summary The Retail Supply Trader will participate in the management and profitability analysis of the Trading Commercial & Industrial retail electricity load portfolio. This individual will find opportunities and work with affiliate business units and functional groups to develop and deploy innovative solutions that leverage fundamental analysis, advanced analytics, and market competence. Main Responsibilities * Support Portfolio Optimization team by maintaining and providing transactable prices for approved tradable products as well as market information to the retail pricing functions, salespersons and customers * Provide market access, price discovery and transaction execution in approved products for BP clients * Work closely with the Marketing team to help guide their efforts to provide opportunities that are aligned with trading ideas * Help maintain customer relationships when called upon where superior market fundamental knowledge can be employed and the ability to articulate that knowledge to broader audiences * Responsible for all hedging and optimization activity around BP’s portfolio of retail customers * Price, manage, and book deals consisting of a variety of non-standard products which include shaped schedules, odd-lots deals, off-hub locations and options * Assist in the development of the Portfolio Management strategy * Help identify structured opportunities and participate in closing those transactions when necessary * Manage the risk associated with a non-standard portfolio while adhering to allocated risk limits * Manage forecasted load deviations and exposures in prompt and cash months * Work closely with the Legal Team to draft customer specific contract language as needed * Build and maintain databases as necessary * Understand and align with all internal policies as well as those of CFTC, SEC, FERC, and any other regulatory body or exchange Requirements & Qualifications: * Bachelor degree required in a quantitative field such as math, statistics, IT, quantitative finance or engineering * 3- 5 years of experience related to retail analytics, trading, demand response, portfolio optimization, asset optimization * Strong working knowledge of ISO markets, the electric power grid and marketplace, specifically in the ERCOT, NYISO, NEPOOL, MISO, PJM regions * High level of proficiency in Excel and working knowledge of VBA and SQL required. Python working knowledge preferred * Analytical skills required for pricing, risk assessment and transaction structuring * Strong individual contributor with consultative style and strong collaboration and teamwork * Skilled at working across multi-disciplinary functions and departments * Proficient in collecting, querying, organizing, and analyzing complex data, evaluating information, and drawing logical conclusions Why join us At bp, we believe that our team is strengthened by diversity. We are committed to fostering an inclusive environment in which everyone is respected and treated fairly. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life, including a generous paid parental leave policy and excellent retirement benefits, among others! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Travel Requirement Negligible travel should be expected with this role Relocation Assistance: Relocation may be negotiable for this role Remote Type: This position is a hybrid of office/remote working Skills: Legal Disclaimer: We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, socioeconomic status, neurodiversity/neurocognitive functioning, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please ___. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

Data Scientist (AI/ML) – Remote (US-Based Only) Schedule: Monday–Friday, 8:30 AM–5:00 PM (Local Time) Employment Type: Temp-to-Hire (Performance-Based) Work Setup: Dual monitors + docking station required Location Requirement: Must reside in one of the preferred states (AZ, FL, GA, ID, IA, KY, MI, NE, NM, NY outside greater NYC, OH, TX, UT, WA outside greater Seattle, WI) About the Role We are seeking an experienced Data Scientist (AI/ML) to develop, deploy, and optimize advanced machine learning solutions across healthcare-driven initiatives. This role focuses on data integrity, model development, agentic workflows, and the creation of predictive AI systems that directly support business and clinical decision-making. You will collaborate with cross-functional teams, perform complex analysis, and contribute to innovation within AI/ML for healthcare. Key Responsibilities • Perform data analysis, error detection, and model validation to ensure high-quality datasets., • Design, develop, and train supervised, unsupervised, deep learning, and reinforcement learning models., • Implement agentic workflows to enable AI-driven autonomous task execution., • Leverage RAG (Retrieval-Augmented Generation) patterns to enhance language model performance., • Fine-tune pre-trained models for domain-specific datasets and applications., • Clean, preprocess, and transform data to support optimal model outcomes., • Deploy models into production, monitor real-time performance, and adjust as needed., • Partner with engineering, product, and business teams to integrate AI solutions into existing systems., • Maintain clear documentation on models, methodologies, and outputs., • Stay current with advancements in AI/ML and incorporate best practices into ongoing development., • Provide mentorship and technical leadership to junior data scientists., • Support business initiatives by developing ML models that drive Star Ratings improvements, reduce care gaps, and support healthcare outcomes. Required Qualifications • US Citizenship Required, • PhD or equivalent experience in a quantitative field, • 6+ years of experience as a Data Scientist (healthcare preferred but not required), • Expertise in Python and R, • Experience with ML frameworks: TensorFlow, Keras, PyTorch, • Strong understanding of statistical methods including SVM, Naive Bayes, neural networks, k-NN, • Experience designing agentic workflows or autonomous AI operations, • Knowledge of RAG techniques and retrieval-augmented model development, • Strong SQL/NoSQL experience; understanding of SDLC and data warehousing concepts, • Proficiency in data visualization (Tableau, Power BI), • Strong analytical and problem-solving skills with the ability to handle complex datasets Preferred Qualifications • Experience with Databricks, Snowflake, Azure AI Studio, or similar cloud AI platforms, • Familiarity with NLP, LLM optimization, and computer vision techniques Work Environment • Fully remote within approved states, • Must be able to work from your local time zone, • Dual monitors and docking station required for daily operations

SUMMARY: The Cybersecurity Analyst is responsible for monitoring, documenting, and supporting the cybersecurity posture of the organizations’s information technology systems. This role involves reviewing alerts, assisting in the maintenance of cybersecurity configurations, assessing weaknesses, vulnerabilities and escalating potential vulnerabilities or incidents to senior team members. The Cybersecurity Analyst also contributes to the documentation of cybersecurity events and helps ensure compliance with established cybersecurity policies and procedures. This role uses data collected from a variety of cyber defense tools (e.g., IDS alerts, firewalls, network traffic logs) to analyze events that occur within their environments for the purpose of mitigating threats. ESSENTIAL DUTIES AND RESPONSIBILITIES: • Provide timely detection, identification, and alerting on potential attacks/intrusions, anomalous activities, and misuse activities and distinguish these incidents and events from benign activities, • Aid in the protection of the company's network and sensitive information using cyber defense tools for continual monitoring and analysis of systems to identify malicious activity including:, • Identifying cyber threat tactics and methods, • Identifying and correcting gaps in the company’s cybersecurity posture, • Testing information systems for vulnerabilities, • Documenting and escalating incidents, • Analyzing network alerts from various sources within the enterprise and determining possible causes of such alerts, • Identifying and analyzing anomalies in network traffic or log data, • Monitoring risks and implementing cybersecurity systems to prevent attacks or breaches, • Responding to urgent cybersecurity events and incidents, • Reviewing events and incidents to understand root causes, • Monitoring reputation for hostile content directed towards organizational or partner interests, • Recommend procedures and/or changes to procedures necessary for good cyber hygiene, • Improve the overall cybersecurity posture of the organization’s systems, • Determine the operational and safety impacts of cybersecurity lapses, • Prepare threat and target briefings and situational updates, • Monitor threat activities and prepare threat activity reports, • Manage and report on adversarial activities EDUCATION AND REQUIRED EXPERIENCE: • A degree in business or technology is preferred (associate’s or bachelors), • 3-5 years of experience in IT security, • Experience with SIEM, intrusion detection (IDS) and intrusion prevention (IPS) systems preferred, • Basic scripting (Python, PowerShell, Bash), • Experience with vulnerability management, • Experience with network packet analysis, • Experience with log analysis and log management, • Experience with Cloud Security Management interfaces, • Experience with enterprise authentication systems, such as directory services or identity management platforms, • Experience with Incident handling and response preferred, • Working knowledge or core cybersecurity concepts such as the CIA triad, encryption algorithms, and risk management processes, • Working knowledge of computer networking protocols including how traffic flows within a network, • Working knowledge of cybersecurity laws and regulations, • Working knowledge of cybersecurity threats, threat characteristics, and vulnerabilities, and threat hunting, • Ability to prioritize security requests according to urgency and established criteria, • Ability to organize information and alerts from multiple sources to create a holistic picture of cybersecurity threats, • General understanding of security frameworks (NIST, MITRE Attack) preferred, • Familiarity with the variations, similarities, and differences between IT and OT network environments, • Experience working on project teams and project management is preferred, • Intermediate understanding of Threat Intelligence research and methodologies, • Familiarity with adversarial TTPs SKILLS, QUALIFICATIONS, AND OTHER REQUIREMENTS: • Demonstrate excellent communication (written, verbal and listening) and interpersonal skills, • Superior organizational skills and attention to detail, • Must possess a proven ability to deliver high-quality customer service, • Ability to triage and prioritize security related data quickly, • Ability to respond to work after hours and weekends as needed PHYSICAL DEMANDS: Requires sufficient personal mobility and physical reflexes, to permit the employee to function in a general office environment and accomplish tasks and duties as outlined above. WORK ENVIRONMENT: The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually quiet.

Oracle Fusion Cloud Platform Architect – Houston, TX (On-Site, Long-Term) Location: Houston, TX | On-Site Duration: On-Going | Long-Term Engagement iSphere is looking for a seasoned Oracle Fusion Cloud Platform Architect to join one of our leading enterprise clients in Houston. This is a hands-on, high-impact role where you’ll shape the architecture and governance of a multi-environment Oracle Fusion Cloud ecosystem — from tenancy design and integration strategy to automation and security governance. If you’re passionate about Oracle Cloud Infrastructure (OCI) and enjoy translating complex architectural challenges into clear, scalable solutions, this is where you’ll make your mark. What You’ll Be Doing Architect the future: Design and implement enterprise-grade Oracle Fusion Cloud architectures across SaaS, PaaS, and IaaS environments. Lead with structure: Define tenancy models, compartment structures, governance frameworks, and automation strategies across OCI. Build smarter systems: Oversee the integration landscape using Oracle Integration Cloud (OIC), Visual Builder, ATP/ADW, and Fusion Analytics Warehouse. Secure the stack: Establish IAM, SSO, and security zone standards — ensuring compliance with Oracle Cloud Security Baseline and CIS benchmarks. Optimize operations: Create CI/CD frameworks for SaaS/PaaS integrations and drive environment automation through Visual Builder Studio or Jenkins. Monitor and maintain: Implement logging, analytics, and performance monitoring systems to keep everything running at peak efficiency. Collaborate and lead: Partner with infrastructure, application, and business teams to maintain RTO/RPO alignment while mentoring others in best practices. What You Bring 5+ years of enterprise systems architecture experience, with at least 5 years in Oracle Fusion Cloud (SaaS/PaaS/IaaS). Proven success designing and governing multi-environment Fusion architectures (PROD, TEST, DEV, TRAIN) across OCI. Hands-on experience with: OCI Tenancy/Compartment Management Oracle Integration Cloud (OIC) ATP/ADW and Fusion Analytics Warehouse (FAW) FBDI, BI Publisher, and OTBI Deep understanding of cloud security, IAM frameworks, and policy-driven governance. Experience with automation and orchestration using OCI CLI, Python, or Bash scripting. Strong communication skills — you can bridge the gap between engineering complexity and business clarity. Bonus Points For Advanced degrees or certifications in Cloud Architecture or Enterprise Systems Design. Oracle or Cloud certifications (e.g., OCI Architect Professional, Oracle Integration Cloud Expert). Experience with network architecture, cost optimization, or environment topology design. Why You’ll Love Working with iSphere For over 25 years, iSphere has been helping talented professionals find roles that truly fit — technically, professionally, and culturally. We’re not just matching skills to job descriptions; we’re building partnerships between exceptional people and forward-thinking companies. If you’re ready to own the blueprint of an enterprise Oracle Fusion Cloud environment — and have fun doing it with a team that values expertise, collaboration, and personality — we’d love to connect.

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.

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.

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 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

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 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.

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. * * *

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.

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.

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.

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.

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 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

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!

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.

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

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

Job Description: Results-driven Data Scientist with expertise in pricing analytics and revenue optimization within the distribution industry. Skilled in developing data-driven pricing models that balance profitability, competitiveness, and customer retention. Experienced in leveraging advanced analytics, statistical modeling, and machine learning to identify pricing opportunities, optimize discount structures, and forecast demand across diverse product lines and customer segments. Collaborates closely with sales, finance, and supply chain teams to design and implement dynamic pricing strategies that reflect market trends, cost fluctuations, and inventory levels. Proficient in integrating large datasets from ERP and CRM systems to uncover insights that drive smarter business decisions. Focused on maximizing margins while maintaining alignment with overall business goals and customer satisfaction. Key Responsibilities: • Develop and deploy predictive pricing models using Python, R, and SQL., • Analyze customer behavior, price elasticity, and competitive benchmarks to inform strategic pricing decisions., • Support pricing optimization across multiple distribution channels and product categories., • Build dashboards and reports to visualize pricing performance and key metrics for leadership., • Partner with cross-functional teams to implement and evaluate pricing experiments (A/B tests). Machine Learning • Price Optimization • Predictive Modeling • Statistical Analysis • SQL • Python/R • A/B Testing • Data Visualization (Power BI, Tableau) • Revenue Management • ERP Data Integration

Full-Stack Front Office Software Engineer Full Time position 150K to 180K Houston, TX Must be a US Citizen or Green Card holder No 3rd parties or C2C!!!!!!!!!!!!!!!!!!!!!!!!!!! Our Data Science & Technology team is at the forefront of this evolution, designing powerful systems and innovative tools that help our front-office teams understand market behavior, forecast price movements, and manage risk more effectively. With a commitment to excellence and a modern, open-source technology stack, we solve complex, high-impact challenges at scale. From cloud-native infrastructure and machine learning platforms to real-time analytics, custom APIs, and internal libraries, we build the tools that give us a competitive edge in the global commodities markets. If you're looking to build cutting-edge solutions in a high-performance trading environment, we’d love to hear from you. Responsibilities: • Partner directly with commercial trading teams to engineer and optimize trading processes and analytical models., • Build and maintain Python-based services and APIs using modern frameworks and best-in-class design patterns., • Design & develop solutions to support supply and demand models, market data analysis, and position management., • Design cloud-native tools that integrate seamlessly into our Front Office platform, including visualization and analytics interfaces. Qualifications: • Bachelor's or Master's degree in Computer Science or a related STEM field, • 5+ years of prior full stack professional programming experience in Python, React or Angular., • Advanced understanding of object-oriented programming concepts., • Familiarity with cloud platforms (e.g., AWS) and data warehousing solutions (e.g., Snowflake)., • Working knowledge in Linux and Windows environments., • Knowledge of DevOps practices and CI/CD pipelines., • Prior exposure to or a demonstrated interest in finance, quantitative trading, or the commodities markets., • Ability to communicate and interact with a wide range of users ranging from very technical to non-technical., • Results-oriented team player who can handle rapidly changing projects and priorities while maintaining a strong professional presence., • Strong analytical skillset with demonstrated attention to detail., • Must be able to work effectively in a fast-paced, dynamic and high-intensity environment including open-floor plan if applicable to the position, with timely responsiveness and the ability to work beyond normal business hours when required.

About Us: Hirestaff.ai is a leading global talent acquisition and staffing solutions provider, specializing in connecting businesses with top-tier professionals across various industries. We pride ourselves on our deep industry expertise, cutting-edge technology, and personalized approach to recruitment. At Hirestaff.ai, we're committed to building long-lasting relationships with both clients and candidates, ensuring the perfect match for every role. We foster a collaborative and supportive work environment where our team members are empowered to excel and make a real impact in the world of talent acquisition. About the Client: With a legacy spanning over two decades, our client, established in 2003, has emerged as a dominant force in the global market. They've transformed industries and created lasting impact across sectors like Energy, Technology, Finance, and Healthcare. Their reputation is built on pioneering innovation, driving growth, and delivering unparalleled results worldwide. Job Type: Full Time Job Location: Onsite in Houston, will need to travel to other locations. The primary work location : Houston, TX Overview: We’re seeking a 10 plus years Azure OpenAI / AI Cloud Engineer with deep experience in deploying, configuring, and managing Azure-based AI and ML services. The ideal candidate will have a strong background in Azure infrastructure, MLOps, and enterprise-grade OpenAI deployments. Key Responsibilities • Design, implement, and maintain Azure AI/ML environments, • Deploy and manage Azure OpenAI services (GPT models, embeddings, etc.), • Build and optimize Azure ML pipelines, Cognitive Search, and data integration workflows, • Ensure environment security, API governance, and cost optimization, • Collaborate with data science and cloud engineering teams to operationalize AI models Required Skills • Strong experience with Azure ML, Azure OpenAI, Cognitive Services, Synapse, and Databricks, • Expertise in Kubernetes (AKS), Terraform/ARM templates, and CI/CD pipelines, • Experience managing AI workloads, model deployment, and monitoring performance, • Knowledge of Python, REST APIs, and Azure DevOps

Python Data Engineer — Houston, TX (Onsite Only) A global energy and commodities organization is seeking an experienced Python Data Engineer to expand and optimize data assets that support high-impact analytics. This role works closely with traders, analysts, researchers, and data scientists to translate business needs into scalable technical solutions. The position is fully onsite due to the collaborative, fast-paced nature of the work. MUST come from an Oil & Gas organization, prefer commodity trading firm. CANNOT do C2C. Key Responsibilities • Build modular, reusable Python components to connect external data sources with internal tools and databases., • Partner with business stakeholders to define data ingestion and access requirements., • Translate business requirements into well-designed technical deliverables., • Maintain and enhance the central Python codebase following established standards., • Contribute to internal developer tools and ETL frameworks, helping standardize and consolidate core functionality., • Collaborate with global engineering teams and participate in internal Python community initiatives. Qualifications • 7+ years of professional Python development experience., • Strong background in data engineering and pipeline development., • Experience with web scraping tools (Requests, BeautifulSoup, Selenium)., • Hands-on Oracle/PL SQL development, including stored procedures., • Strong grasp of object-oriented design, design patterns, and service-oriented architectures., • Experience with Agile/Scrum, code reviews, version control, and issue tracking., • Familiarity with scientific computing libraries (Pandas, NumPy)., • Excellent communication skills., • Industry experience in energy or commodities preferred., • Exposure to containerization (Docker, Kubernetes) is a plus.

Our client is a global technology-driven organization recognized for its cutting-edge platforms and commitment to operational excellence. They are currently seeking an IT Engineer to join their dynamic team. This role is primarily focused on providing first-line support to both internal and external users, ensuring every interaction delivers an exceptional experience. This company is known for hiring top talent and fostering long-term career growth. The environment emphasizes collaboration, innovation, and professional development, with many internal promotion opportunities. Position Summary • Responsible for identifying, diagnosing, and resolving technical issues, while managing and monitoring incident response, change management, and recovery procedures., • Collaborate closely with global and local teams, other infrastructure groups, and IT business partners to maintain seamless operations., • Manage relationships with external vendors and coordinate technical support when needed., • Deploy, manage, and document a wide range of systems, applications, and devices, using ServiceNow (or similar) for reporting and ticket tracking., • Maintain flexibility to adjust work hours as needed and adapt quickly to evolving business priorities. Minimum Experience • Bachelor’s degree in Computer Science or related field preferred (or equivalent experience)., • Hands-on experience in technical support, vendor coordination, or field technician roles., • Strong understanding of systems, network, and infrastructure operations., • Experience troubleshooting issues related to network, storage, and databases., • Familiarity with scripting and automation (Bash, Python, Shell)., • Excellent communication, analytical, and problem-solving skills with meticulous documentation habits., • Ability to work independently and collaboratively in a fast-paced environment., • Must be able to pass standard background checks. 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.

Position: Data Engineer Location: Houston, TX & Wilmington, DE Duration: Contract to hire Looking for someone with Proficiency in languages Scala or Python, Platform Databricks or AWS framework (EMR Spark), and strong SQL skills & Terraform development. Position Description: • 5-7 + Years of experience in Data Engineering Must Have – • Proficiency in languages Scala or Python, • Platform Databricks or AWS framework (EMR Spark),, • Strong SQL skills & Terraform development.

Job ID: ENBJP00027050 Job Title: Quality Assurance (QA) Specialist Location: Hybrid Onsite – Houston High Level Description: We are seeking highly skilled Quality Assurance (QA) Specialist to ensure our software deliverables consistently meet the highest industry standards. This role involves designing and executing automated test plans, interpreting and reviewing system requirements, executing regression test cases, and tracking quality assurance metrics. The ideal candidate will have a strong grasp of the software development life cycle (SDLC) and have a solid understanding of Quality Assurance methodologies and will collaborate with cross-functional teams in an Agile environment to drive continuous quality improvements. Minimum Job Qualifications: • Bachelor’s degree in computer science, software engineering, or related fields., • 6+ years’ experience as a QA automation engineer., • Hands-on experience with UFT and/or one or more of the following tools: Selenium, Cypress, Playwright, Robot Framework, JMeter., • Proficiency in VBScript and/or scripting/programming languages such as JavaScript, Python, or Ruby., • In-depth knowledge of software testing methodologies, tools, and best practices., • Proven ability to develop and maintain automated test scripts for functional and regression testing., • Strong collaboration skills to work effectively with cross functional teams including software developers and end users throughout the software development life cycle (SDLC) to resolve requirements, documentation, design, and functional issues., • Demonstrated ability to manage multiple tasks and projects independently and within a team, meeting tight deadlines., • Commitment to improving QA processes and contributing to team-wide quality initiatives., • Experience writing complex SQL queries to manage and validate data in test environments.

I want to do 3 rounds of interviews: Teams virtual tech interview with senior developers Karat screening In person interview with managers and directors 5+ years of experience in data engineering, sql and nosql databases like oracle, sql server, postgres, db2, elastic, mongo db and advanced python skills. Advanced application development experience with implementing business logic utilizing SQL procedures and NOSQL utilities Experience with design and development of scalable and performant processes Expert in Python development and fast API microservices what IDEs and tools did they use to code and test? Development experience with real time user interactive applications and communicate between UI and database what protocols/data formats did they use to interact between db and UI

Job Description We are looking for a talented and motivated Python Data Engineers. We need help expanding our data assets in support of our analytical capabilities in a full-time role. This role will have the opportunity to interface directly with our traders, analysts, researchers and data scientists to drive out requirements and deliver a wide range of data related needs. What you will do: • Translate business requirements into technical deliveries. Drive out requirements for data ingestion and access, • Maintain the cleanliness of our Python codebase, while adhering to existing designs and coding conventions as much as possible, • Contribute to our developer tools and Python ETL toolkit, including standardization and consolidation of core functionality, • Efficiently coordinate with the rest of our team in different locations Qualifications • 6+ years of enterprise-level coding experience with Python, • Computer Science, MIS or related degree, • Familiarity with Pandas and NumPy packages, • Experience with Data Engineering and building data pipelines, • Experience scraping websites with Requests, Beautiful Soup, Selenium, etc., • Strong understating of object-oriented design, design patterns, SOA architectures, • Proficient understanding of peer-reviewing, code versioning, and bug/issue tracking tools., • Strong communication skills, • Familiarity with containerization solutions like Docker and Kubernetes is a plus

BCForward is currently seeking a highly motivated Data Analytics professional for an On-site position in Houston, TX Position Title: Data Analytics Location: Houston, TX (Onsite) Anticipated Start Date: 12/15/2025 Note: This engagement requires candidates to be on our W2 payroll (no C2C or 1099). Expected Duration: 1+ Year Job Type: Contract - onsite We’re looking for a hands-on Python/Databricks Analyst with strong experience in statistical modeling, Monte Carlo simulations, and data visualization. This role supports the Risk & Data Analytics teams by building simulation models, analyzing complex datasets, and presenting insights that drive business decisions. Main Responsibilities: • Strong proficiency in Python (NumPy, Pandas, SciPy, etc.)., • Experience working with Databricks (notebooks, workflows, jobs)., • Solid understanding of statistics including distributions, probability, variance, confidence levels., • Practical experience with Monte Carlo simulations (intermediate-level)., • Ability to build clear visualizations using Matplotlib, Seaborn, Plotly, or similar tools., • Experience analyzing simulation output and presenting it to non-technical stakeholders., • Strong communication skills for working with risk and analytics teams. Benefits: BCforward offers all eligible employees a comprehensive benefits package including, but not limited to major medical, HSA, dental, vision, employer-provided group life, voluntary life insurance, short-term disability, long-term disability, and 401k. About BCforward: Founded in 1998 on the idea that industry leaders needed a professional service, and workforce management expert, to fuel the development and execution of core business and technology strategies, BCforward is a Black-owned firm providing unique solutions supporting value capture and digital product delivery needs for organizations around the world. Headquartered in Indianapolis, IN with an Offshore Development Center in Hyderabad, India, BCforward’s 6,000 consultants support more than 225 clients globally. BCforward champions the power of human potential to help companies transform, accelerate, and scale. Guided by our core values of People-Centric, Optimism, Excellence, Diversity, and Accountability, our professionals have helped our clients achieve their strategic goals for more than 25 years. Our strong culture and clear values have enabled BCforward to become a market leader and best in class place to work. BCforward is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. To learn more about how BCforward collects and uses personal information as part of the recruiting process, view our ___ and ___. As part of the recruitment process, we may ask for you to disclose and provide us with various categories of personal information, including identifiers, professional information, commercial information, education information, and other related information. BCforward will only use this information to complete the recruitment process. This posting is not an offer of employment. All applicants applying for positions in the United States must be legally authorized to work in the United States. The submission of intentionally false or fraudulent information in response to this posting may render the applicant ineligible for the position. Any subsequent offer of employment will be considered employment at-will regardless of the anticipated assignment duration.

We are looking for an experienced Azure specialist that will lead the design, evolution, and operations of the enterprise Azure environment. This role drives the strategy and execution for the cloud platform, ensuring it scales and adapts to the needs of multiple global business units. You will work closely with engineering and business stakeholders, enabling cloud adoption, championing platform modernization, and introducing cloud-native capabilities. Responsibilities: Platform Leadership • Own the design, evolution, and operation of the enterprise Azure cloud platform., • Provide centralized cloud platform services for multiple global business units., • Translate business and technical needs into platform capabilities., • Advise teams on cloud adoption, patterns, and best practices., • Implement required cloud governance controls, security guardrails, and benchmarks., • Maintain transparency and compliance reporting., • Deliver resilient, multi-region architectures., • Maintain real-time monitoring and centralized logging., • Reconcile and allocate monthly cloud spending., • Improve cost visibility through tagging and reporting., • Automate platform provisioning and operations using infrastructure-as-code., • Maintain CI/CD workflows for platform deployments., • Build cloud automation using Azure Functions and API integrations. Requirements: • Strong Terraform experience (Terraform Cloud a plus), • Proven experience designing and automating Azure landing zones, • Strong expertise with Azure App Service Environment, Azure Functions, and private networking, • Ability to design security, compliance, and operational governance frameworks, • Hands-on IaC development with Terraform, • Experience with CI/CD pipelines such as Azure DevOps, • Development background in Python, JavaScript, or Java, • Ability to build automation using Azure Functions and REST APIs

About Us: LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 700+ clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit Job Title: Azure Architect Work Location: Houston, Texas Job Description 1. Edge Computing & Architecture o Experience with Azure Arc-enabled Kubernetes clusters and CNCF-compliant environments o Experience with Ubuntu OS for Edge platform o Experience of containerization (e.g., k3s, Docker) and virtualization for edge deployments o Proven ability to integrate IoT solutions with enterprise systems and hybrid cloud environments. o Proficiency in Python, C/C++, Java, Go, React, Rust and scripting tools like Ansible, Azure CLI, Linux o Skills in developing and deploying AI/ML models for edge analytics and computer o Experience deploying AI/ML models for anomaly detection and predictive maintenance. o Knowledge of Azure AIO, including device provisioning, telemetry, and cloud-to-device messaging o Familiarity with MQTT, OPC UA, CoAP, DDS protocols for IIoT communication[3] o Familiarity with hybrid architectures using Azure Arc and edge orchestration o Awareness of IoT orchestration vendors and ability to evaluate commercial solutions. o Understanding of Zero Trust Architecture, RBAC, and secure boot o Compliance with standards like NIST SP 800-82, ISA/IEC 62443, and NERC-CIP o Experience with API security, vulnerability management, and audit logging o Experience in compliance audits, risk management, and regulatory adherence Benefits/perks listed below may vary depending on the nature of your employment with LTIMindtree (“LTIM”): Benefits and Perks: • Comprehensive Medical Plan Covering Medical, Dental, Vision, • Short Term and Long-Term Disability Coverage, • 401(k) Plan with Company match, • Life Insurance, • Vacation Time, Sick Leave, Paid Holidays Disclaimer: The compensation and benefits information provided herein is accurate as of the date of this posting. LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law. Safe return to office: In order to comply with LTIMindtree’ s company COVID-19 vaccine mandate, candidates must be able to provide proof of full vaccination against COVID-19 before or by the date of hire. Alternatively, one may submit a request for reasonable accommodation from LTIMindtree’s COVID-19 vaccination mandate for approval, in accordance with applicable state and federal law, by the date of hire. Any request is subject to review through LTIMindtree’s applicable processes.

ABOUT OUR CLIENT Our Client is a leading private equity firm driving growth and operational excellence across a diverse portfolio of companies. With a focus on digital transformation and value creation, the firm is committed to leveraging data as a strategic asset. This role offers the opportunity to lead data strategy at scale, influencing both portfolio company performance and overall investment outcomes. ABOUT THE ROLE The Data Management Leader will be responsible for shaping and executing enterprise-level data architecture, governance, and management strategies across portfolio companies. This is a high-impact, hybrid role that blends strategic vision with hands-on execution. Reporting to senior leadership, the position requires both technical depth and executive presence to implement robust data frameworks, optimize architecture, and enable data-driven decision-making. The ideal candidate brings a "doer" mentality and the ability to create measurable business value through data. RESPONSIBILITIES • Define and execute a data management strategy aligned with portfolio growth and firm-wide objectives, • Lead cross-functional initiatives with data engineers, analysts, IT stakeholders, and business leaders, • Act as an advisor to portfolio companies on the adoption of modern data practices, • Define and implement scalable and secure data platforms aligned with best practices, • Oversee the development of big data solutions using tools such as Azure Synapse and Azure Databricks, • Manage structured and semi-structured datasets using Azure Data Lake, Avro, Parquet, and Delta tables, • Ensure efficient ingestion, curation, and integration processes across data environments, • Establish and enforce data governance frameworks using Microsoft Purview or Unity Catalog, • Develop KPIs to monitor data quality, ingestion, and consumption, • Implement secure self-service data access models for portfolio companies, • Lead the design and maintenance of ELT/ETL pipelines with Azure Data Factory, Databricks, or similar tools, • Manage an onshore/offshore team of data engineers, providing mentorship and conducting code reviews, • Oversee integration of external datasets, including public sources such as Enverus, IHS, and TGS, • Support visualization and insights through Power BI, Spotfire, and Plotly QUALIFICATIONS • Ten or more years of experience in data management, architecture, or engineering for leadership roles; at least five years for senior-level roles, • Proven experience implementing scalable big data platforms with Azure Synapse, Databricks, or similar tools, • Strong expertise in data modeling, governance, and tools such as Microsoft Purview or Unity Catalog, • Proficiency in Python, R, SQL, and experience with REST APIs for data integration, • Hands-on experience with Azure Data Lake, Azure DevOps, and CI/CD pipelines, • Ability to manage structured and semi-structured datasets using modern file formats (Avro, Parquet) LEADERSHIP & COMMUNICATION • Experience managing distributed teams across onshore and offshore environments, • Exceptional communication skills with the ability to translate technical solutions into business outcomes, • Proactive, results-driven, and execution-focused mindset PREFERRED QUALIFICATIONS • Industry experience in energy, including exploration and production or energy transition and decarbonization, • Familiarity with MDM practices and external industry data sources EDUCATION Bachelor’s, Master’s, or PhD in Computer Science, Information Systems, or related field WHAT YOU WILL ACHIEVE • Deliver scalable, secure, and impactful data solutions across a private equity portfolio, • Build a culture of data-driven decision-making across portfolio companies, • Establish yourself as a trusted leader in data strategy, creating measurable value through innovation and execution

Title: Cloud Security Engineer (AWS Focus) Location: Houston, TX - Onsite Type: Contract to Hire Sector: Energy About the Role We are looking for an experienced Cloud Security Engineer to join our growing Security team. You will be responsible for designing, implementing, and maintaining security controls across our multi-cloud environment (primarily AWS, with growing Azure and GCP footprints). This is a hands-on role that combines architecture, engineering, threat modeling, and incident response in a fast-paced environment. Key Responsibilities • Design and implement cloud-native security controls (IAM, network security, encryption, logging/monitoring, SCPs, Azure Policy, GCP Organization Policy, etc.), • Build and maintain infrastructure-as-code security tooling (Terraform, CloudFormation, CDK, Pulumi) with security guardrails, • Lead cloud security posture management (CSPM), cloud workload protection (CWPP), and cloud-native application protection (CNAPP) initiatives, • Perform threat modeling and security architecture reviews for new cloud services and applications, • Automate security testing in CI/CD pipelines (SAST, DAST, SCA, container scanning, IaC scanning), • Respond to and investigate security incidents in cloud environments, • Develop and enforce cloud security standards, baselines, and hardening guides, • Work closely with DevOps, Platform Engineering, and application teams to securely accelerate delivery, • Participate in purple team exercises and penetration testing focused on cloud infrastructure, • 3+ years of hands-on cloud security experience (AWS required), • Deep expertise in at least one major cloud provider (AWS Solutions Architect Professional or AWS Security Specialty strongly preferred), • Strong experience with Infrastructure as Code (Terraform preferred) and policy-as-code, • Proficiency in cloud-native security services: AWS GuardDuty, Security Hub, Macie, Inspector, Config, Azure Defender, Sentinel, Defender for Cloud, GCP Security Command Center, etc., • Experience implementing Zero Trust principles in cloud environments, • Solid scripting/programming skills (Python, Go, or Bash) for automation, • Hands-on experience with containers (Docker, Kubernetes/EKS/AKS/GKE) and securing them, • Familiarity with compliance frameworks (SOC 2, PCI-DSS, ISO 27001, FedRAMP, HIPAA, etc.), • Experience with SIEM, SOAR, and cloud-native logging/monitoring (Splunk, Datadog, ELK, CloudTrail, Azure Monitor, etc.)

Our Midstream Oil and Gas client is seeking a skilled Data Engineer to design, build, and maintain scalable data infrastructure that supports advanced analytics and business intelligence initiatives. You will work closely with data scientists, analysts, and software engineers to ensure data availability, quality, and reliability across the organization. Key Responsibilities • Design, develop, and maintain data pipelines and ETL/ELT processes for collecting, transforming, and storing data from multiple sources, • Build and optimize data models, data warehouses, and data lakes for analytics and reporting., • Collaborate with stakeholders to define data architecture and ensure data integrity, consistency, and security, • Implement and maintain data quality frameworks, monitoring, and alerting systems., • Work with cloud platforms (AWS, Azure, or GCP) to deploy scalable data infrastructure, • Support the integration of real-time streaming data using tools like Kafka, Kinesis, or Spark Streaming, • Automate workflows using orchestration tools such as Airflow, Prefect, or Dagster, • Ensure compliance with data governance, security, and privacy standards (e.g., GDPR, HIPAA)., • Troubleshoot data-related issues and optimize performance of queries and pipelines Required Qualifications • 7+ years of experience as a Data Engineer or similar role, • Strong proficiency in SQL and a programming language such as Python, • Hands-on experience with ETL frameworks, data warehousing, and big data tools (e.g., Spark, Hadoop)., • Experience with cloud-based data solutions such as AWS Redshift, Snowflake, BigQuery, or Azure Synapse., • Proficiency with data orchestration and workflow automation tools, • Solid understanding of data modeling, data architecture, and API integration

About the Job You're Considering As a Hardware Engineer with Capgemini Engineering, you will play a critical role in designing, validating, and supporting electronic systems for our clients. You’ll collaborate with cross-functional teams to deliver high-quality hardware solutions that meet industry standards and client requirements. This position emphasizes strong design knowledge, hardware support, and expertise in validation and compliance. Your Role • Lead and present technical reviews to internal stakeholders and external clients, demonstrating technical depth and communication skills., • Develop and maintain comprehensive design documentation, including detailed presentations, technical reports, and review materials., • Perform and update design validation calculations to align with evolving review requirements and project specifications., • Collaborate cross-functionally with supply chain, manufacturing, and testing teams to support existing designs and ensure seamless integration., • Provide technical solutions for risk mitigation, design support, and obsolescence-driven redesigns to maintain product viability., • Conduct hardware testing, preparation, and modification of electronic boards to ensure optimal performance and reliability., • Bachelor’s degree in Electrical/Computer Engineering (or related field) with 8+ years in hardware engineering, including PCB design and component selection, • Selecting major electronic components such as microcontrollers, operational amplifiers, power modules, and relays., • Understanding PCB design principles including DFA and DFM standards, and analyzing analog schematics for power budgeting and thermal management., • Familiarity with compliance standards and pre-compliance testing processes including UL certification and EMI/EMC requirements., • Experience with PCB design tools (Altium), RF simulation tools (CST), Python-based test automation, and providing customer-facing technical guidance for RF and embedded system.

ABOUT OUR CLIENT Our Client is a leading private equity firm with a portfolio of upstream gas production companies. By combining petroleum engineering expertise with advanced data analytics, artificial intelligence (AI), and machine learning (ML), Our Client is driving the digital transformation of upstream operations. With a diverse set of assets and a strong focus on innovation, this role provides the opportunity to shape the future of gas production and forecasting through cutting-edge technology. ABOUT THE ROLE The Petroleum Data Engineer will play a critical role in leveraging data to solve complex engineering challenges, optimize production, and drive operational efficiency across portfolio companies. This individual will build innovative data products, develop and deploy AI/ML models, automate workflows, and collaborate with engineering teams to unlock new insights. The role is ideal for a professional passionate about merging petroleum engineering expertise with modern data science to deliver measurable business impact. RESPONSIBILITIES • Develop, optimize, and maintain data pipelines to automate upstream gas production and forecasting workflows, • Implement scalable data solutions to support monitoring, reservoir management, and efficiency initiatives, • Integrate structured and unstructured data from sensors, logs, and well data into production systems, • Design and deploy AI/ML models for production forecasting, reservoir simulation, and failure prediction, • Analyze historical and real-time production data to identify trends and optimization opportunities, • Collaborate with domain experts to align AI/ML models with engineering principles and field use cases, • Build and deploy data products in partnership with digital and engineering teams across portfolio companies, • Serve as a technical advisor to portfolio companies on data analytics and digital transformation initiatives, • Develop user-friendly dashboards and interfaces for data visualization and stakeholder engagement, • Ensure data quality, accuracy, and consistency across all pipelines and products, • Implement governance policies to secure sensitive production data and meet industry regulations, • Stay current with emerging technologies in petroleum data analytics, AI, and ML to drive innovation QUALIFICATIONS • Bachelor’s, Master’s, or PhD in Petroleum Engineering, Data Science, Computer Science, or related field, • Five or more years of experience in upstream oil and gas, with a focus on gas production and forecasting, • Proven track record applying AI and ML to solve petroleum engineering challenges, • Proficiency in Python, R, or similar programming languages for data analytics and ML, • Hands-on experience with frameworks such as TensorFlow, PyTorch, or scikit-learn, • Strong understanding of upstream workflows, including reservoir simulation and optimization, • Experience with cloud platforms such as Azure, AWS, or Google Cloud, and tools like Databricks or Synapse, • Ability to build dashboards and visualizations using Power BI, Spotfire, or similar platforms PREFERRED QUALIFICATIONS • Knowledge of digital oilfield technologies, IoT integration, and real-time data processing, • Experience with data governance frameworks and tools such as Microsoft Purview, • Familiarity with industry datasets and platforms including Enverus or IHS SOFT SKILLS • Strong problem-solving abilities and innovative mindset, • Excellent communication skills, with the ability to explain technical concepts to non-technical stakeholders, • Collaborative approach to working across diverse teams and organizations WHAT YOU WILL ACHIEVE • Deliver data-driven solutions that optimize gas production and forecasting across portfolio companies, • Enable portfolio companies to adopt AI/ML and advanced analytics as a competitive advantage, • Contribute to the digital transformation of upstream operations, shaping the future of the energy industry

Overview The System Administrator is responsible for maintaining and administering critical computer systems and related computing environments, ensuring high availability, security, and compliance across all systems and locations. This role serves as the primary technical resource for IT operations, handling the full spectrum of support while managing infrastructure and security initiatives. Responsibilities: Support and Training: • Provide Tier I-III local and remote support for user computers, software, hardware, and system-based issues, • Respond to helpdesk requests and handle escalations with minimal supervision, • Conduct user training sessions and security awareness programs to enhance organizational cybersecurity posture, • Set up, maintain, and support all branch locations, new sites, and user environments, including hardware and software installations, • Deploy, manage, and optimize Azure cloud infrastructure and Microsoft 365 environments, • Administer Intune and Entra ID for endpoint management and identity controls, • Document system configurations, procedures, and policies to ensure clear operational guidelines and compliance with organizational standards, • Conduct regular audits and benchmarks of hardware, identity controls, and software to ensure optimal performance and compliance with standards like CIS and NIST, • Perform periodic vulnerability assessments and network vulnerability scans on internal networks, • Deploy and manage security policies and configurations across all users and endpoints, • Manage all vendor relationships, ensuring adherence to SLAs and leveraging partnerships to enhance IT services and capabilities, • Contribute to IT projects involving system upgrades, migrations, and the implementation of new technologies, • Participate in disaster recovery planning and conduct preparedness exercises, • 3-4+ years of systems administration experience with demonstrated ability to work independently, • Strong experience with Microsoft 365 administration, Azure, Intune, Defender, and Entra ID, • Proven track record of managing infrastructure with minimal oversight, • Experience with Linux and Windows Server system administration and command-line interface for basic server management and Azure VM configuration, • Experience in creating and maintaining technical documentation and procedures, • Excellent problem-solving skills and technical judgment, • Strong communication skills with both technical and non-technical audiences, • Ability to balance immediate support needs with strategic infrastructure projects, • Scripting/automation skills (PowerShell, Python), • Experience mentoring or training technical staff

About Neudesic Passion for technology drives us, but it’s innovation that defines us. From design to development and support to management, Neudesic offers decades of experience, proven frameworks and a disciplined approach to quickly deliver reliable, quality solutions that help our customers go to market faster. What sets us apart from the rest, is an amazing collection of people who live and lead with our core values. We believe that everyone should be Passionate about what they do, Disciplined to the core, Innovative by nature, committed to a Team and conduct themselves with Integrity. If these attributes mean something to you - we'd like to hear from you. Role Summary Neudesic is currently seeking a Senior Consultant - Data Scientist for our Data & AI Practice. This role will report to the Regional Director of Data & AI. The role requires the perfect mix of being a brilliant technologist and also a deep appreciation for how technology drives business value. You will have broad and deep technology knowledge and the ability to architect solutions by mapping client business problems to end-to-end technology solutions. Demonstrated ability to engage senior level technology decision makers in data management, real-time analytics, predictive analytics and data visualization is a must. To be successful, you must exhibit strong leadership qualities necessary for building trust with clients and our technologists, with the ability to deliver ML/DL projects to successful completion. You will partner with solution architects to drive client success by providing practical guidance based on your years of experience in data management and visualization solutions. You will partner with a diverse sales unit to professionally represent Neudesic experience and ability to drive business results. In addition, you will assist in creating sales assets that clearly communicate our value proposition to technical decision makers. Requirements: • 3+ years of hands-on experience in building and deploying machine learning and/or generative AI solutions in a business environment, • Bachelor’s degree in a quantitative field (e.g., Computer Science, Engineering, Business Analytics, Statistics, Mathematics); advanced degree preferred, • Proven expertise with Databricks and Microsoft Fabric for data engineering and ML workflows, • Proficient in Python (including ML/AI libraries such as scikit-learn, PyTorch, TensorFlow) and SQL; experience with R is a plus, • Strong understanding of statistical modeling, machine learning, MLOps, and large language models (LLMs), • Demonstrated ability to work with large, complex datasets and relational/cloud-based databases (e.g., Azure SQL, Delta Lake), • Experience operationalizing ML models and pipelines in production environments Preferred Qualifications • Experience with cloud platforms, especially Microsoft Azure (Azure Machine Learning, Azure Data Lake, etc.), • Familiarity with modern data engineering tools and orchestration frameworks (e.g., dbt, Apache Airflow, Delta Live Tables), • Experience with data visualization and BI tools (e.g., Power BI, Tableau), • Ability to communicate complex analytical and technical concepts to both technical and non-technical audiences, • Strong data storytelling skills and ability to drive insights from exploratory and visual analysis, • Intellectual curiosity, strong problem-solving skills, and a collaborative, team-oriented mindset, • Demonstrated leadership, relationship-building, and mentoring abilities More about our Predictive Enterprise Service Line: The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include: · Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking. · Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources. · Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets. · Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems Accommodations currently remain in effect for Neudesic employees to work remotely, provided that remote work is consistent with the work patterns and requirements of their team’s management and client obligations. Subject to business needs, employees may be required to perform work or attend meetings on-site at a client or Neudesic location. Phishing Scam Notice Please be aware of phishing scams involving fraudulent career recruiting and fictitious job postings; visit our ___ page to learn more. Neudesic is an Equal Opportunity Employer All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here:

As the founding entity of RAINBOW PARTNERS, Quanteam is a consulting firm specializing in the fields of Banking, Finance, and Financial Services. Guided by our core values of closeness, teamwork, diversity, and excellence, our team of 1,000 expert consultants, representing 35 different nationalities, collaborates across 10 international offices: Paris, Lyon, New York, Montreal, London, Brussels, Geneva, Lisbon, Porto and Casablanca. Role Overview We are seeking an experienced Database Administrator to design, implement, maintain, and optimize database systems supporting critical business applications such as trading, risk management, reporting, and operations. The role involves working across hybrid infrastructures — primarily cloud (Azure, AWS) and on-premises environments — ensuring high availability, data integrity, and performance at scale. Key Responsibilities • Database Management: Administer, configure, and optimize SQL Server, Oracle, PostgreSQL, and cloud-native databases across hybrid environments., • Resilience & Continuity: Design and maintain high-availability and disaster recovery (DR) architectures (AlwaysOn, clustering, geo-redundancy) to ensure business continuity., • Real-Time Processing: Support and enhance real-time data pipelines and replication processes for critical applications., • Performance & Monitoring: Proactively monitor, tune, and troubleshoot database performance using observability and alerting tools., • Security & Compliance: Enforce access controls, encryption, and data protection standards in collaboration with cybersecurity and compliance teams., • Collaboration: Partner with infrastructure, application development, and DevOps teams to optimize database design, queries, and integrations., • Documentation: Maintain comprehensive documentation of database configurations, DR procedures, and operational standards., • Incident Response: Contribute to incident management, root cause analysis, and continuous improvement initiatives. Required Skills & Qualifications • Bachelor’s degree in Computer Science, Information Systems, or related field., • Minimum 5 years of experience in database administration, ideally within complex or regulated environments (e.g., energy, financial services)., • Advanced skills in SQL, T-SQL, PL/SQL, and experience with Microsoft SQL Server, Oracle, or PostgreSQL., • Proven experience with Azure database services (SQL Database, Managed Instance, Cosmos DB) and familiarity with AWS RDS or Aurora., • Strong understanding of resilience, replication, and real-time data architectures., • Exposure to ITSM, monitoring, and incident management tools., • Relevant certifications such as Microsoft Certified Database Administrator, Oracle Certified Professional, or AWS Database Specialty are a plus., • Strong analytical, communication, and troubleshooting abilities., • Comfortable working in a fast-paced, hybrid cloud environment. Nice to Have • Experience supporting energy trading or financial systems (ETRM, market data, or analytics platforms)., • Relevant certifications such as Microsoft Certified Database Administrator, Oracle Certified Professional, or AWS Database Specialty are a plus., • Knowledge of Python or PowerShell for automation and database scripting., • Familiarity with CI/CD integration and DevOps practices for database deployment., • Understanding of data governance, lineage, and compliance frameworks (SOX, NERC CIP, GDPR)., • Experience working with containerized environments (Kubernetes, Docker) or Infrastructure as Code tools (Terraform, Ansible).

ABOUT OUR CLIENT Our Client is a leading energy-focused private equity firm headquartered in Houston, with additional offices in New York. Since inception, the firm has deployed more than $30 billion in capital across upstream oil & gas, energy infrastructure, decarbonization, energy technologies, and power & renewables. In addition to traditional private equity, the firm provides credit and structured capital solutions for energy companies, including asset-level financings, preferred equity, and secured/unsecured debt. The team operates in a fast-paced, collaborative, and highly data-driven environment, supported by shared services across ESG, procurement, and digital. Employees benefit from exposure to the full energy value chain and cutting-edge investment strategies. ABOUT THE ROLE The Technical Analyst (Land / Royalty & Mineral Interests) will play a critical role in supporting diligence, portfolio monitoring, and investment decision-making. This position focuses on the accurate assessment, validation, and integration of land, mineral, and royalty data to ensure technical rigor in investment analysis and asset oversight. RESPONSIBILITIES • Ingest and validate land, lease, title, deed, mineral, and royalty ownership records into internal systems including GIS, databases, and land systems, • Map and associate royalty and mineral records with wells, acreage, and production, ensuring accurate allocation of interests and burdens, • Analyze deeds, conveyances, and chain-of-title documents to resolve discrepancies through curative processes, • Validate royalty revenue statements, reconcile them with ownership and production records, and flag discrepancies, • Support acquisitions and divestitures with technical land and royalty diligence, • Collaborate with geoscience, engineering, legal, and finance teams to maintain data integrity in models, • Develop dashboards and reports on royalty cash flows and ownership trends, • Define standards for data quality, automation, and QC processes, • Assist in monitoring and optimizing existing portfolio assets QUALIFICATIONS • 2–5+ years of experience in land, royalty, mineral title, or division order/land administration, • Strong understanding of mineral and royalty interests, title, and curative processes, • Experience with land/lease systems such as Quorum, P2 Land, EnergyIQ, Enverus, or IHS, • Proficiency in Excel, GIS, and relational databases; SQL or Python a plus, • Strong analytical and problem-solving skills with meticulous attention to data quality, • Excellent communication skills, both technical and business-facing, • Bachelor’s degree in Land Management, Petroleum Engineering, Geology, Natural Resources, Finance, or related discipline, • Exposure to M&A or A&D diligence preferred, • Familiarity with the energy investment environment is a plus PREFERRED QUALIFICATIONS • Experience across multiple basins and state regulatory environments, • Exposure to royalty audit practices, • Interest in AI, automation, or advanced analytics within land and royalty workflows, • MBA or advanced degree helpful but not required BENEFITS • Exposure to full-cycle private equity investment processes across energy and infrastructure, • Collaboration across technical, legal, and financial teams, • A high-expectation, data-driven environment where technical rigor is valued, • Professional growth with potential advancement into senior technical or investment roles SUCCESS METRICS • Accuracy of land and royalty data integration, • Timely support of diligence cycles and portfolio reporting, • Reduction of disputes or errors through proactive QC and curative analysis, • Effective cross-team collaboration and decision support

Our client, a global Energy Trading & Marketing company in Houston, is looking for a Natural Gas Market Strategist to support its Power and Natural Gas Trading & Origination teams. The company operates one of the largest and most sophisticated energy trading businesses globally, with significant market share, a strong global footprint, and advanced capabilities in both physical and financial trading. The Market Strategist provides actionable market intelligence to support commercial operations. Key responsibilities include: • Modeling and analyzing the regional natural gas fundamentals (supply & demand models) for short-, medium-, and long-term forecasts, • Identifying key fundamental drivers for regional natural gas markets (supply/demand balances, transport, storage inventories, pipeline flows, regional prices, regulatory, infrastructure, weather, etc.)., • Creating proprietary views for the natural gas markets, • Developing trader analytical tools using Python, • Proactively work with traders to identify opportunities and recommend trade strategies, • Long-term natural gas analysis to support originators and their structured deals, • Managing data with a focus on driving efficiency through automation, • Communicating daily market briefs to key stakeholders across trading, origination, and senior management Professional qualifications and requirements include: • Bachelor’s degree in economics, finance, mathematics, statistics, etc. (master’s/MBA degree is a plus), • 3-10 years of professional experience in the regional supply & demand modeling in the North American natural gas markets within commercial trading operations of a company with physical natural gas or power assets or a financial trading firm. (Consideration will be given to professional and commercial market analytics experience in power or crude oil.), • An in-depth understanding of the North American natural gas supply and demand and infrastructure, • Robust understanding of E&P energy value chain and economics, • Experience across one or more natural gas markets (Northeast, Appalachia / MidAtlantic, Gulf Coast / Louisiana / Southeast, Midcontinent, Midwest, Rockies / Northwest, Southwest / California, etc.), • Ability to think commercially and can work in a fast-paced environment where strong communication skills are valued, • Strong analytical and statistical modeling, • Strong technical skills (Python, SQL, Excel, Power BI) Employees work 3 days in the office and 2 days remotely.

Data Analyst II Houston, TX - Onsite/Hybrid Contract - 3+ Months Job Description: Summary: The main function of a Data Analyst is to modeling efforts around project risk management as well as asset health and operations risk. This role will be supporting the Enterprise Risk Management and Insurance Risk Management offices with upcoming projects. Job Responsibilities: • Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies, • Write and code logical and physical database descriptions and specify identifiers of database to management system, • Develop local database and integrate with various internal applications and external sources to query, store, and process data Required Skills: • Experience with developing database technologies, • Knowledge of at least one scripting language including Python and related packages (e.g.NumPy, etc), • Experience with at Risk software (highly preferred), • MS Projects/MS Dynamics (highly preferred), • Tableau or Power BI, • Snowflake, • Strong written and oral communication skills, • Strong troubleshooting and problem-solving skills, • Demonstrated history of success, • Desire to be working with data and helping businesses make better data driven decisions Preferred Skills: • Experience working in utilities, electric, and/or natural gas preferred, • Familiarity with AI in a professional setting, • SAP, • Basic knowledge of statistics and Monte Carlo simulation techniques Education/Experience: • Bachelor's degree in a technical field such as computer science, computer engineering or related field required, • 2-4 years applicable experience required ABOUT EIGHT ELEVEN At Eight Eleven, our business is people. Relationships are at the center of what we do. A successful partnership is only as strong as the relationship built. We’re your trusted partner for IT hiring, recruiting and staffing needs. For over 16 years, Eight Eleven has established and maintained relationships that are designed to meet your IT staffing needs. Whether it’s contract, contract-to-hire, or permanent placement work, we customize our search based upon your company's unique initiatives, culture and technologies. With our national team of recruiters placed at 21 major hubs around the nation, Eight Eleven finds the people best-suited for your business. When you work with us, we work with you. That’s the Eight Eleven promise. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws.

Position Title : Python Developer (In Person Interview) Location : New York City, NYC (Onsite) Experience : 8+ Years Employee Type : Full Time with Benefits Job Description We are seeking a highly motivated and self-driven professional with strong technical and communication skills to join our team. The ideal candidate will work on both application development and production support, collaborating with business stakeholders and cross-functional teams to deliver robust solutions. Key Responsibilities: • Develop, maintain, and optimize applications using Python, Shell scripting, and Oracle SQL/PLSQL., • Provide production support, ensuring timely resolution of issues and minimal downtime., • Work closely with Business teams to gather requirements, analyze processes, and implement effective solutions., • Collaborate with onshore and offshore teams, providing clear communication and leadership to ensure project success., • Troubleshoot and resolve complex technical problems with a focus on quality and efficiency., • Participate in code reviews, testing, and deployment activities. Technical Skills Required: • Strong proficiency in Python and Shell scripting., • Expertise in Oracle SQL and PL/SQL development., • Solid understanding of database concepts and performance tuning., • Good problem-solving and analytical skills. Soft Skills: • Self-driven with the ability to work independently and take ownership of tasks., • Excellent communication skills for effective interaction with business and technical teams., • Strong team player with leadership capabilities to guide onshore and offshore teams. Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Click the following link for more information on your rights as an Applicant Salary Transparency: Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 - $106050/yearly. This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company’s sole discretion, consistent with the law.