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Job Description Sr. Python Engineer As an Engineer, you will work closely with your team to guide projects to success. You'll have a hands-on role designing, developing, debugging, and deploying software and AI infrastructure solutions where you can leverage your expertise with complex AI platforms. To thrive in this career, you'll need to be an expert in Python and/or Java and Cloud Infrastructure Services and have a proven, strong foundation designing applications and writing good code. Given the scale of our datasets, AI agents’ services and the complex app development requirements we give you to solve, you’ll stay challenged and engaged with years of exciting projects ahead! WHAT YOU'LL DO: Here's what you can expect on a typical day: · Build Scalable and Robust Apps. You will identify, develop, and implement advanced codes /design patterns using efficient, scalable and parallel programming standards for the AI applications and Infrastructure among others. · You will identify opportunities for optimizing existing infrastructure and system performance. · Teamwork and collaboration. You will be part of a thriving team, closely working with Agent Developers, Prompt Engineers and Managers to identify needs for building infrastructure, new codes, APIs/services for distributed systems, and serverless applications. Experience: You have 5+ years of experience in relevant skills gained and developed in the same or similar role. TO SUCCEED IN THIS ROLE: · You have a bachelor’s degree OR equivalent in Computer Science. · Highly skilled in Python and other programming such as Java, Kotlin, Golang for code optimization/profiling and app development. · Strong experience with a cloud platform (Azure, GCP or especially AWS) · Experience in building Distributed and Parallel Computing Applications · Experience with Testing Frameworks and Integration (Unit, Integration, Component), TDD, BDD. · Familiar with docker containers and container services like AWS ECS, AWS EKS, Kubernetes · Experience building serverless applications with AWS Lambda, Google or Azure functions · Experience designing applications with high Performance and Scalability requirements · Knowledge and experience writing clear and efficient code (Clean Code, Design Patterns etc.) · Strong experience with Git and some code repository (GitHub, Gitlab, Bitbucket) It would be nice if you also have: · Knowledge and/or experience in AI and Machine Learning framework. · Knowledge of RDBMS, Vector Databases, and SQL/NoSQL. Company DescriptionStaffing Technologies has 20+ Years of IT Staffing and Consulting Experience. Headquartered in Overland, KS, we have 9 Offices Nationwide and have 3 Global Delivery locations. Saicon, our Parent Company, specializes in and has rich experience filling various type of job roles (Both IT & Non IT) in Retail, Consumer Products and Brands, Insurance, Logistics and Travel, Banking and Financials, Manufacturing, Healthcare, and Life Sciences, Telecom, Media & Entertainment, Professional Services, Government and Public Sector.Staffing Technologies has 20+ Years of IT Staffing and Consulting Experience. Headquartered in Overland, KS, we have 9 Offices Nationwide and have 3 Global Delivery locations. Saicon, our Parent Company, specializes in and has rich experience filling various type of job roles (Both IT & Non IT) in Retail, Consumer Products and Brands, Insurance, Logistics and Travel, Banking and Financials, Manufacturing, Healthcare, and Life Sciences, Telecom, Media & Entertainment, Professional Services, Government and Public Sector.

Job Description :Technical Business Analyst Location:NYC - (Locals only) Interview F2F at client locations Job Description: Note: Candidates with Investment banking experience and shoud worked previously on Power Bi, SQL. Our Challenge We are seeking a Technical Business Analyst who has experience in Fixed Income Trading System. Primary Responsibilities: • Work closely with a team of developers, application support and business users to develop a solution for Fixed Income E-Trading System with emphasis on Credit Business., • Work with AWS Data team on data migration projects., • Prepare business and functional requirement documents., • Manage multiple projects and provide timely deliverables to end-users, • Coordinate changes with FO Application Support Team, • Update and manage documentation via SharePoint or Confluence, • Coordinate QA testing and production releases Required Background: • Excellent communication and project management skills, • Worked within Fixed Income technology as a technical business analyst, • Worked with Fixed Income Trading System in client to dealer space (Bloomberg, TradeWeb, MarketAxess), • Strong Fixed Income knowledge across all business lines (Rates, Credits, and Mortgages), • Strong user of database tools such as AquaData Studio, SQL Developers, etc., • Strong in ANSI SQL and PL/SQL (Oracle, MSSQL, Sybase) to write stored procedures., • Basic knowledge of bond pricing, risk, and Pnl system, • Good understanding of underlying trading system data (Statics, Trade, RFQs, Pricing, Axes, market data), • Good understanding of the roles of fixed income trading vs. sales., • Understanding of Unix environment is a plus, • Understanding of AWS is a plus, • Worked knowledge of Atlassian tool (Jira, Confluence, etc), • Creating and maintaining technical documentation. Personal Characteristics: • Excellent problem-solving skills and initiative; able to find innovative and elegant solutions to complex problems., • Good communication skills with high standards in visual, written and oral communication., • Ability to build strong relationships with both technical and non-technical team members., • Disciplined and independent personal management skills can work to deadlines and standards with minimum supervision when required., • Enthusiastic and energetic in the execution of their tasks, • Commercially aware; Focused on achieving the right results with good, maintainable solutions.

Job DescriptionWe are looking for a Senior Data Architect with deep expertise in AWS and Snowflake to join our dynamic team. The ideal candidate will be responsible for architecting and implementing scalable, secure, and high-performance cloud-based data platforms. This role involves designing and optimizing data pipelines, managing cloud data environments, and driving data modernization initiatives. You will work closely with cross-functional teams to develop and implement data strategies that align with business goals. Key Responsibilities: • Lead the architecture and design of scalable and secure data platforms using AWS and Snowflake., • Design, develop, and optimize robust data pipelines for ingestion, processing, and storage of large-scale datasets., • Implement best practices for data governance, data security, and compliance within cloud environments., • Collaborate with business stakeholders to understand data requirements and translate them into technical solutions., • Lead data modernization and cloud migration initiatives, ensuring seamless transitions from legacy systems to cloud platforms., • Develop and manage data models and ensure proper integration with business intelligence tools., • Monitor and optimize the performance of data platforms and ensure high availability and reliability., • Provide technical leadership to data engineering teams, including code reviews and design consultations., • Stay updated with the latest AWS and Snowflake features and leverage them to improve existing architectures., • 12+ years of experience in data architecture, data engineering, or a related role., • Hands-on experience with AWS services (S3, Redshift, Glue, Lambda, etc.) and Snowflake data warehouse., • Proficiency in SQL and at least one programming language (Python, Java, etc.)., • Strong experience with ETL/ELT processes, data integration, and data warehousing best practices., • Familiarity with data governance, security standards, and compliance requirements in cloud environments., • Proven track record of leading cloud data migration projects, preferably from on-premise to AWS and Snowflake., • Strong problem-solving skills and the ability to work in a fast-paced environment., • AWS Certified Data Analytics Specialty, • AWS Certified Database Specialty, • AWS Certified Developer Associate, • AWS Certified Solution Architect Professional, • SnowPro Core Certification, • SnowPro Advanced: Architect Certification, • SnowPro Advanced: Data Engineer Certification

Job DescriptionKey Responsibilities: • Analyse large-scale NGS datasets (DNA-seq, RNA-seq, single-cell sequencing, etc.) to support oncology/cancer research initiatives., • Develop, optimize, and maintain robust bioinformatics pipelines., • Design and implement scalable data analysis workflows leveraging Docker for containerized reproducibility., • Collaborate closely with biologists, clinicians, and data scientists to translate biological questions into computational solutions., • Perform statistical analyses and data visualization using R and Python to interpret complex data.Qualifications/Skills:, • Masters or PhD degree in Bioinformatics, Computational Biology, Computer Science, Genetics, or a related field., • 7-10 years of professional experience in bioinformatics or computational biology, with a strong focus on Next-Generation Sequencing (NGS) data analysis such as RNA-seq, DNA-seq (variant calling), methylome-seq, etc. preferably applied to oncology/cancer research., • Proficiency in programming languages: R and Python (including libraries such as dplyr, ggplot2, pandas, NumPy, matplotlib, plotly etc.)., • Good understanding of oncology/cancer biology and related genomic technologies., • Experience in oncology/cancer data analysis is a plus., • Expertise in workflow management systems: Snakemake and Nextflow., • Strong experience with Docker and containerization best practices., • Familiarity with cloud computing platforms (AWS, GCP, or Azure) is a plus., • Solid background in statistical methods for biological data analysis., • Excellent communication skills and ability to work collaboratively in a multidisciplinary environment., • Strong problem-solving skills and attention to detail.

Job DescriptionAbout the Role:We are looking for an enthusiastic Campus Data Engineer who is eager to start a career in data engineering and analytics. The ideal candidate should have a strong academic background in computer science, data science, or related fields, with hands-on project or internship experience in data engineering concepts, cloud technologies, and programming. Key Responsibilities:· Assist in building and maintaining data pipelines for ingestion, transformation, and storage of structured and unstructured data.· Work with big data frameworks (Hadoop, Spark, Databricks) and cloud platforms (AWS, Azure, or GCP) to process large datasets.· Support data modeling, ETL/ELT development, and performance optimization tasks.· Write clean, efficient Python/SQL code to manipulate and validate data.· Collaborate with senior engineers and analysts to deliver high-quality data solutions for business needs.· Participate in data quality checks, testing, and documentation.· Learn and adapt to new tools and technologies in the data ecosystem. Required Skills & Qualifications:· Bachelor's or Master’s degree in Computer Science, Information Technology, Data Science, or related field.· Strong knowledge of Python, SQL, and data structures.· Familiarity with data engineering concepts such as ETL, data warehousing, and data modeling.· Exposure to big data tools (Hadoop, Spark, Hive, Kafka) through coursework or projects.· Basic understanding of cloud platforms (AWS, Azure, or GCP).· Strong analytical, problem-solving, and communication skills.

Job DescriptionDescription: About Us: At Affiliated Monitoring, our success depends on our ability to respond to customer alarms and provide life-saving services in a timely manner. Our networks and telecommunications systems are the lifeblood of our company and our ability to service our customers. We are looking for a highly skilled Lead Systems Engineer who is both hands-on with system and infrastructure design, and capable of leading teams, projects, and initiatives. If you thrive in a dynamic environment where you can design, implement, and optimize systems while also mentoring and leading a team, this role is for you! Job Overview: As a Lead Systems Engineer, you will take ownership of systems architecture, implementation, troubleshooting, and security, while also playing a key leadership role in guiding junior engineers and collaborating with stakeholders. You’ll work closely with IT, security, and operations teams to ensure high availability, scalability, and security across our infrastructure. KEY RESPONSIBILITIES Infrastructure Architecture, Cloud & Systems Management • Contribute to infrastructure architecture design that bridges on-prem and cloud environments—supporting a transition to hybrid infrastructure centered around AWS, with potential use of Azure or Google Cloud., • Configure, manage, and monitor SAN storage arrays; support provisioning, performance tuning, and capacity planning., • Plan and implement scalable, resilient system architectures across compute, storage, cloud, and network tiers., • Administer Linux and Windows systems in a hybrid environment (Debian, Photon OS, Windows Server)., • Architect, deploy, and manage VMware infrastructure including ESXi hosts, vSphere clusters, and vCenter across production data centers and integrated cloud environments., • Lead support and development of the Horizon VDI environment, including gold image creation, performance tuning, and operational stability., • Build and cable physical hypervisor servers, ensuring proper integration with network, power, and storage infrastructure., • Collaborate closely with the Networking team to align switching, VLANs, and virtual networking within the VMware ecosystem., • Serve as the technical lead for the Systems team, providing daily guidance, mentorship, and support., • Lead by example through hands-on contributions, reinforcing best practices in engineering, documentation, and issue response., • Foster a high-performance team culture focused on continuous learning, critical thinking, and proactive problem-solving., • Partner with the Director of Systems on infrastructure roadmaps and long-term cloud strategy, leading hybrid initiatives that transition appropriate workloads to AWS, while maintaining critical on-premise operations., • Own infrastructure projects from design to deployment across our entire organization., • Support DevOps workflows by providing infrastructure support for tools like Nomad, Consul, and Vault within the VMware ecosystem., • Evaluate cloud-based tools and services (e.g., Azure AD, Exchange Online, GCP workloads) to enhance reliability, scalability, or collaboration for internal teams., • Stay informed on industry trends, especially related to VMware’s roadmap under Broadcom, and guide cloud and infrastructure planning accordingly., • Lead or support escalations during critical incidents, contributing to root-cause analysis and resilience improvement efforts.Requirements: Must-Have Skills • 8+ years of experience in IT systems engineering, including 5+ years hands-on with VMware technologies., • Deep technical expertise in VMware vSphere, vCenter, ESXi, and Horizon (VDI)., • Demonstrated experience architecting and supporting high-availability virtual environments., • Strong knowledge of SAN storage configuration, data center power/cooling, and rack-and-stack practices., • Experience with Linux (Debian, Photon OS) and Windows Server administration., • Comfort with automation and scripting using PowerShell, Bash, or similar., • Proven leadership in a team lead or project lead capacity; ability to guide and mentor engineers effectively., • Strong troubleshooting and incident response skills with a calm, analytical approach., • Excellent written and verbal communication skills., • Familiarity with HashiCorp Nomad (container orchestration), Vault (secrets management), and Consul (service discovery)., • Exposure to Google Cloud Platform (GCP) or Azure in addition to AWS. Impactful Work: Your contributions will directly impact on the reliability and security of our life-saving services. Cutting-Edge Technology: Work with the latest technologies in a dynamic and innovative environment. Competitive Compensation & Benefits: We offer a competitive salary and comprehensive benefits package. Collaborative Culture: Be part of a talented and supportive team. Affiliated Monitoring is an Equal Opportunity Employer. Here, we believe that embracing innovation is not just a core value, but a responsibility. We are committed to building an inclusive and diverse workplace where everyone, regardless of race, gender, age, disability, sexual orientation, religion, or any other characteristic, feels valued and supported. We provide equal opportunities to all applicants and employees and strive to foster a culture where differences are celebrated, and everyone's voice is heard. Your unique perspectives and experiences are what drive us forward.

Job Description Position Title: Data Engineer/Developer Reports to: VP, Technology Department: Development and Technology Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901; In-office Classification: Full-time; Exempt Summary / Job Objective: As a data engineer/developer, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that are used for collecting, storing, processing, and analyzing large volumes of data. Essential Job Functions: Your role involves collaborating with business stakeholders, outside partners, other software developers, analysts, and other stakeholders to ensure data availability, reliability, and quality for decision-making and operational purposes. Primary Responsibilities: · Data Processing and Transformation: Implement data processing and transformation using state-of-the-art tools and processes. Build on top of existing capabilities and develop both custom features (e.g., Laravel/PHP, Python, or other frameworks) or enterprise software (e.g., Informatica, Mulesoft, or other tools). · Data Pipeline Development: Design, develop, and maintain robust, scalable data pipelines for ingesting, transforming, and loading structured and unstructured data from various sources into data storage systems. · Data Infrastructure: Manage and optimize data storage solutions, including databases, operational data stores, and data warehouses, to ensure high performance, reliability, and security. · Data Quality and Governance: Implement data quality checks, monitoring, and governance processes to ensure data accuracy, consistency, and compliance with regulatory requirements. · Performance Tuning: Identify and address performance bottlenecks in data pipelines and infrastructure through optimization, tuning, and capacity planning. · Collaboration: Work closely with data scientists, analysts, software engineers, and business stakeholders to understand data requirements, develop data solutions, and support analytical use cases. · Documentation: Document data pipelines, infrastructure configurations, and best practices for data engineering standards, ensuring knowledge sharing and team collaboration. Qualifications: · Hands-on experience with building data-focused processes in languages such as Laravel/PHP, Python, or other languages. · Knowledge and experience working in cloud platforms like AWS and/or Azure. · Experience working with complex data objects in various formats like JSON, XML and across different DB designs like MySQL, MS SQL, and Salesforce DB’s. · Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or related field. · Proven experience in data engineering, ETL (Extract, Transform, Load) processes, and data pipeline development. Additional Qualifications (Preferred): · Knowledge of or experience with Salesforce data models, API’s and high-level architecture. Experience with other CRM tools and their data is also a plus. · Experience with Business Intelligence tools such as Domo, Microsoft PowerBI, or other BI tools. · Agile development experience working with tools such as Atlassian Jira, Confluence, and Bitbucket. · Experience with financial services products such as insurance, wealth management, or related fields is a plus. · Certification or coursework in data engineering or related technologies. Core Competencies: · Excellent problem-solving skills, analytical thinking, and attention to detail. · Effective communication and teamwork abilities to collaborate across multidisciplinary teams. · Proven success working in both a team environment as well as independently. Compensation & Benefits: Compensation (based on experience) ● Base salary: $110,000 - $130,000 ● This is an exempt position ● Annual performance bonus target: 10% Benefits ● Employee benefits (medical, dental, vision, life insurance, other) ● 401k with employer match ● Paid Time Off ● Paid parking Location: Simplicity Summit Office; 86 Summit Ave, Summit, NJ 07901 *This role is an in-office position Company DescriptionHeadquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy. Through its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business. For more information, please visit simplicitygroup.com.Headquartered in Summit, New Jersey, Simplicity Financial Marketing Group Holdings (“Simplicity Group”) is a financial holding company in the independent financial services sector that specializes in the distribution of retirement and financial planning solutions. Simplicity Group and its wholly-owned Broker-Dealer, partners with insurance and investment professionals to help provide consumers with guaranteed income and life insurance products, wealth accumulation strategies, disability, and long-term care protection in support of a holistic financial strategy.\r\n\r\nThrough its vast distribution network of insurance, wealth, and institutional channels, Simplicity Group has assisted with the placement of more than $10 billion of insurance assets and has $10 billion of assets under management and advisement as of Q4 2024. Simplicity Group is a fast-growing business, focused on organic growth initiatives to help its distribution partners expand their businesses. Simplicity Group has over 1,100 employees and 70 operating subsidiaries. Simplicity Group is owned by two of the leading San Francisco-based financial and tech-enabled services private equity firms and by its operating Partners, who help drive the company’s day-to-day business.\r\n\r\nFor more information, please visit simplicitygroup.com.

Job Description About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities • Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions., • Design solution frameworks to accelerate AI adoption and impact patient outcomes., • Develop and pitch proposals to grow the Data Science practice and Axtria’s client base., • Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration., • Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment)., • Mentor and build a high-performing data science team, fostering best practices and thought leadership., • Bachelor’s degree required; MS/PhD in Computer Science or related field preferred., • 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops., • Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data., • Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment., • Strong consultative and client-facing experience with a commercial mindset., • Experience in RFP development, solution selling, and delivering AI applications in life sciences., • Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus., • Work with top-tier talent in a dynamic, employee-first culture., • Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO)., • Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc., • Shape the future of AI in life sciences and make a real impact on healthcare outcomes., • Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies., • Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. #LI-VG1 Powered by JazzHR Mf4HcIu4tw

Job DescriptionSalary: Why Should You Join AEIS? At AEIS, we believe in building real relationships, not just contracts. The work you do here isnt just about inspections its about craftsmanship, collaboration, and commitment to quality. And like any meaningful relationship, there needs to be a true fit between you and us in values, purpose, and expectations. This is where youll spend most of your working life. We want it to be worth it for you and for us. When the fit is right, our Inspectors grow into trainers, QA leads, and technical experts. If you're serious about quality and looking for more than just a job, we invite you to explore this opportunity. ABOUT THE ORGANIZATION: AEIS is a leading inspection services and materials testing company in the NY Metro area and proud to be an AWS Accredited Test Facility. With a 20,000 sq. ft. state-of-the-art metallurgy lab in South Plainfield, NJ, our team works at the intersection of construction, failure analysis, welding engineering, and NDT. We are looking for a Metallurgical Engineer for our laboratory in South Plainfield, NJ: Responsibilities: • Select, prepare, mount, and polish samples for analysis, • Capture high-quality images using light and scanning electron microscopes, • Perform advanced testing (EDS, tensile, radiography, etc.), • Maintain lab equipment and ensure accurate calibration, • Document findings in clear, concise reports, • Bachelors in Metallurgical Engineering or Materials Science, • 25 years of hands-on lab experience, • Skilled in sample prep, microscopy, and metallurgical testing, • Strong attention to detail and safety practices U.S. Citizenship required(as per work requirement) COMPENSATION: Compensation is commensurate with experience in a similar role and includes a comprehensive benefits package. This role is an exempt, full time salaried position. Work Location: South Plainfield, NJ Work Remotely No Job Type:Full-time Benefits: • 401(k), • Dental insurance, • Health insurance, • Paid time off, • Professional development assistance, • Referral program, • Monday to Friday, • South Plainfield, NJ: Relocate before starting work (Required) Work Location:In person

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description As an AWS Infrastructure Engineer, you'll play a critical role in building and maintaining scalable, secure cloud infrastructure that supports both customer-facing products and internal applications. You’ll join a tight-knit Systems Operations team with a strong DevOps mindset, owning infrastructure-as-code using Terraform and helping drive the migration and optimization of our platforms in Amazon AWS. This role has on call responsibilities, 2 weeks every 2 months so East Coast Time Zone is preferred. Compensation range: 115K-130K USD Other compensation: Performance bonus eligible The actual salary offer to the successful candidate will be based on job-related education, training, licensure, certifications, related experience, and other related factors. What you will be doing: • Build, deploy, and manage AWS infrastructure using Terraform (this is not a Terraform-curious role—we need a Terraform pro)., • Administer and secure Linux-based environments (RHEL/CentOS/Amazon Linux)., • Optimize system performance and troubleshoot issues across cloud and application layers., • Manage deployments, patches, and upgrades for in-house and customer-facing platforms., • Support our DevOps toolchain: Jenkins, GitHub, Docker, Python, and more., • Participate in on-call rotation and release events with a cool head and quick hands., • 5+ years of hands-on experience in a Systems Admin/DevOps/Cloud Engineer role., • Deep Terraform fluency (HCL, modules, state management, etc.)., • Proven experience managing AWS infrastructure (EC2, S3, IAM, Load Balancers, CloudWatch, etc.)., • Strong command of Linux (performance tuning, networking, scripting, LVM, yum, systemd)., • Experience with container services (ECS, Docker, Kubernetes/EKS a plus)., • Familiarity with CI/CD tools and monitoring platforms (Jenkins, Artifactory, Zabbix, Pingdom). When you join CCC, you become part of a dynamic organization strengthened by our community. We care about our team members and clients. We strive to create advanced technology in a vibrant, innovative culture. CCC provides excellent benefits. CCC is an Equal Opportunity, Individuals with Disabilities and Protected Veterans Affirmative Action Employer. We are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy, national origin, age, physical and/or mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and/or veteran status, and any other characteristic protected by applicable law. If you need accommodation for any part of the employment process because of disability, please let a member of our HR Department know the nature of your request.

Job Description About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. As a Data Science Principal Leader, you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Key Responsibilities P&L Ownership & Strategic Growth • Own and manage a portfolio P&L of $10M+ with accountability for revenue growth, gross margins, and delivery excellence., • Lead BD pursuits with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement., • Develop and convert pipeline opportunities ($3M–$5M range) by aligning client priorities with Axtria’s GenAI and ML offerings., • Influence account strategy, pricing models, investment cases, and strategic alliances.Client Advisory & Large-Scale Delivery, • Serve as executive sponsor for complex client engagements—shaping solution vision, engagement design, and business impact realization., • Advise VP/CXO-level stakeholders on Data Science, AI/GenAI strategy, analytics modernization, and operating model transformation., • Oversee solution delivery teams (30+ globally), ensuring scientific rigor, innovation velocity, and commercial impact., • Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions.Innovation, IP, and Agentic Solutions, • Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions., • Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows., • Contribute to the firm’s IP portfolio through thought leadership, open-source tooling, and platform accelerators.Team & Capability Development, • Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU., • Recruit, mentor, and upskill top-tier data scientists, ML engineers, and GenAI specialists., • 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare., • Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field., • Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth., • Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics., • Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP., • Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks., • Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value., • Strong executive presence and ability to influence business, IT, and analytics functions., • Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location. The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-MHT1 Powered by JazzHR SdoTEXN21D

Data Warehousing, Data integration or Data Engineering projects. Selective Insurance is seeking an energetic and collaborative Data Engineer Specialist to work on Data and Analytics projects supporting the Claims Analytics team within the Information Management group. AWS Certified Data Analytics, A

Job Description Enterprise AWS Engineer (DevOps / Solutions Architect) — Healthcare Cloud | Remote (US) Sublimation Health is modernizing healthcare technology from the ground up and we’re growing our elite engineering team to do even more. We’re hiring an Enterprise AWS Engineer (DevOps + Solutions Architecture) who can design and implement elegant AWS-native solutions for real healthcare systems, no toy projects, and no training wheels. Who We’re Looking For You're not just an engineer, you're a builder. You’ve developed AWS environments that support production workloads, integrate tightly with clinical or enterprise systems, and are resilient, secure, and automated by default. You're fluent in AWS CDK (Python), comfortable with Windows systems in hybrid environments, and have opinions about how CI/CD should be done. You’re just as confident designing a secure, scalable architecture diagram as you are deploying it with clean code. Most importantly: you're the kind of engineer who takes production reliability personally — failures aren't just bugs, they’re unacceptable. Tech Stack & Core Requirements • AWS Architecture (3+ years): EC2, S3, VPC, IAM, CloudWatch, Transit Gateways, Direct Connect, ALB, Lambda, • Python for Infrastructure-as-Code (AWS CDK preferred), • PowerShell scripting for hybrid Windows environments, • CI/CD pipelines (GitLab, CodePipeline), • Healthcare or enterprise IT experience (Epic, interface engines, HIPAA is a plus) We do not accept resumes without evidence of hands-on capability. To apply, you must submit the following two artifacts: 1. Code Sample • An anonymized script or CDK construct from a project you’re proud of, • Explain the context, the problem it solved, and why you implemented it the way you did 2. Architecture Diagram • A diagram (draw.io, Lucidchart, Visio, etc.) of an AWS-native solution you designed and built How to Apply Send your artifacts and a short note about why this role interests you to or apply directly at WEBPAGE. Company DescriptionSublimation Health is a cloud technology company transforming healthcare through innovation. We partner with hospitals to modernize their most critical systems—including EHRs like Epic—by moving them to secure, scalable cloud environments. From disaster recovery to cost optimization, our work helps healthcare organizations stay resilient, save lives, and operate with greater agility and impact. Join us to be part of the team that’s redefining what’s possible in healthcare.Sublimation Health is a cloud technology company transforming healthcare through innovation.\r\nWe partner with hospitals to modernize their most critical systems—including EHRs like Epic—by moving them to secure, scalable cloud environments. From disaster recovery to cost optimization, our work helps healthcare organizations stay resilient, save lives, and operate with greater agility and impact. Join us to be part of the team that’s redefining what’s possible in healthcare.

You will be responsible for building and maintaining a highly scalable and reliable infrastructure using AWS, Jenkins, GitHub, and Terraform, and monitoring. This role requires strong expertise in AWS services, Jenkins for CI/CD, GitHub for source code management, and Terraform for infrastructure pr

Design, Develop & deliver critical components, frameworks, services, and products using AWS SageMaker, Bedrock, Lambda, and container technologies in AWS. Peer-reviewing infrastructure-as-code (AWS CloudFormation, Python, Terraform, or similar). Experience using Docker within container orchestration