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$35 - $100/hourpayStata SEAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Econometric Data Analyst (Stata SE) Job Type: Contract Location: Remote Job Summary Join our customer's team as an Econometric Data Analyst (Stata SE), where you will leverage your expertise in advanced econometric modeling and Stata SE to deliver impactful, reproducible research solutions. You will tackle complex datasets, optimize workflows, and translate data-driven insights for academic and policy-driven environments. This is a unique opportunity for a Stata SE expert to contribute to high-impact projects from a fully remote setting. Key Responsibilities • Design and implement advanced econometric models using Stata SE, with a focus on panel data and causal inference techniques., • Develop, maintain, and optimize do-files for efficient data management, analysis automation, and reproducible workflows., • Conduct rigorous data cleaning, transformation, and validation of large-scale datasets to ensure accuracy and reliability., • Deliver clear, actionable insights through well-documented code, technical reports, and presentations tailored for academic and policy stakeholders., • Collaborate closely with our customer's team to understand project objectives, communicate findings, and iterate on analysis as needed., • Stay updated on best practices in econometric research and Stata SE functionalities, proactively sharing knowledge with peers., • Ensure that all research outputs meet high standards of reproducibility, transparency, and ethical data handling. Required Skills and Qualifications • Expert proficiency in Stata SE with demonstrated experience in econometric modeling and automation via do-files., • Advanced understanding of panel data analysis, causal inference methods, and large dataset optimization techniques., • Strong skills in data cleaning, preparation, and validation for complex statistical analysis., • Exceptional written and verbal communication skills, with a keen attention to clarity and detail., • Proven ability to document processes and present findings to diverse audiences in academic or policy contexts., • Experience in producing reproducible research outputs and ensuring high standards of analytic integrity., • Self-motivated, organized, and capable of thriving in a fully remote environment. Preferred Qualifications • Advanced degree (Master’s or PhD) in Economics, Statistics, Data Science, or a related field., • Prior experience collaborating on projects for academic or policy-focused institutions., • Familiarity with complementary statistical tools or programming languages (e.g., R, Python) is a plus.

$35 - $100/hourpayEViewsMacroeconomicsAbout micro1micro1 is a data engine that helps AI labs train foundational models and enterprises build AI agents. We provide frontier evaluations and reinforcement learning environments used to improve LLM capabilities, as well as contextual evaluations used to monitor and improve AI agents in enterprise settings. Our data engine includes an AI recruiter agent that sources and vets domain experts, a data platform that enables rapid production of high-quality training data, and a pipeline performance system that ensures both quality and velocity.Our goal is to have 1 billion people doing meaningful work by contributing their expertise to the development of frontier AI models. We’ve raised $40M+ in funding, and our AI recruiter has powered more than 1 million AI-led interviews as our global network of experts expands to form the human intelligence layer for AGI. Job Title: Macroeconomic Modeling Specialist (EViews) Job Type: Contract Location: Remote Job Summary Join our customer's team as a Macroeconomic Modeling Specialist (EViews) and drive the creation, validation, and automation of advanced macroeconomic models. Leverage your expertise in EViews to develop robust time-series and forecasting solutions, contributing essential economic insights that inform key decisions at the organizational level. This remote opportunity is ideal for a passionate modeler who values clarity in communication and excellence in quantitative analysis. Key Responsibilities • Design and implement sophisticated time-series models such as VAR, VECM, ARIMA, and cointegration frameworks using EViews., • Conduct rigorous model diagnostics and validation to ensure robustness and reliability of forecasts., • Automate forecasting workflows for efficiency and scalability within the modeling process., • Translate complex statistical outputs into clear, actionable macroeconomic insights for both technical and non-technical stakeholders., • Document modeling approaches and results with precise, concise written reports., • Collaborate with the customer's team to integrate modeling results into broader economic narratives and policy recommendations., • Stay current with macroeconomic modeling best practices and EViews software updates. Required Skills and Qualifications • Extensive hands-on experience with EViews, including scripting and automation functionalities., • Proven expertise in building, estimating, and validating time-series models—especially VAR, VECM, ARIMA, and cointegration models., • Deep knowledge of model diagnostics, stability tests, and forecasting accuracy measures., • Strong quantitative background with the ability to explain complex modeling processes in clear written and verbal communication., • Demonstrated success in automating modeling and forecasting workflows., • Ability to extract economic meaning from statistical outputs and present findings insightfully., • Self-driven, detail-oriented, and adept at remote collaboration. Preferred Qualifications • Advanced degree in Economics, Econometrics, Applied Statistics, or related field., • Previous experience supporting central banks, policy institutions, or financial sector clients with macroeconomic modeling., • Familiarity with additional econometric software or programming languages (e.g., R, Python, Stata).

Do you want to help design the next generation of materials used for batteries, space exploration or water purification? Are you interested in getting a PhD? A position is available in Prof. Jacob Gissinger's group at Stevens Institute of Technology (nanocipher.org), for Fall 2026. The research will involve computational design of polymeric systems, such as polymer electrolytes, or high-performance polymers and composites for use in extreme environments. Prerequisites Applicant must not have a PhD. Applicant must hold a bachelor's degree before Fall 2026. American citizenship required for some projects. Why Stevens? We are a research-intensive university in a prime location. Quiet Hoboken is a 10-minute subway ride from downtown Manhattan. Responsibilities Be excited to do research. Be curious. Be willing to learn. Qualifications • Bachelor's degree in materials science, chemical engineering or related fields, • Programming skills in languages such as Python, • Ability to work in an interdisciplinary and collaborative environment, • Excellent written and verbal communication skills, • Background in computational materials science, machine learning and polymer engineering preferred Please direct any questions to Prof. Gissinger at . For more information about the group, visit nanocipher.org.

Job Title: Data Scientist Duration: 6 Months to hire Location: Newark, NJ Job description: As a Data Scientist supporting U.S. Businesses (USB) Service, Data and Technology organization, you will partner with our diverse team of Engineers, Economists, Computer Scientists, Mathematicians, Physicists, Statisticians and Actuaries tasked with mining our industry-leading internal data to design, build, and deploy production-grade AI capabilities for our businesses. The role requires a rare combination of sophisticated AI engineering expertise; business acumen; strategic mindset; client relationship skills, problem solving; and a passion for generating business impact. This is an exciting opportunity to be a part of a strategic initiative that is evolving and growing over time! In addition to applied experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership demeanor and a continuous learning focus to all that you do. This role is based in our office in Newark, NJ. Our organization follows a hybrid work structure where employees can work remotely and from the office, as needed, based on demands of specific tasks or personal work preferences. This position is hybrid and requires your on-site presence on a reoccurring weekly basis at least 3 days per week. Here is what you can expect in a typical day: • Responsible for the hands-on design and development of production-grade GenAI and Agentic solutions comprising the portfolio developed by the Data Science Lead and the technical requirements specified. Perform hands-on context engineering, agent design, model integration, and end-to-end AI system development., • Design and build AI agent harnesses, orchestration frameworks, and context engineering pipelines; develop and integrate Model Context Protocol (MCP) servers to expose tools, data sources, and enterprise APIs to AI agents in a standardized, secure manner; and implement Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Write production-level code and partner with machine learning engineers and platform teams to deliver AI solutions from development through production following the full AI lifecycle., • Continuously research new methods for problem solution, including new algorithms, agentic frameworks, context management techniques, and AI application patterns., • Partner with machine learning engineers to productionize AI solutions. Partner with data engineers to build data pipelines. Partner with software engineers to integrate solutions with business platforms. The Skills and expertise you bring: • Advanced degree (Masters, Ph.D.) in Mathematics, Statistics, Engineering, Econometrics, Physics, Computer Science, Actuarial, Data Science, or comparable quantitative disciplines, • Working on complex problems in which analysis of situations or data requires an in-depth evaluation of various factors. Exercises judgment within broadly defined practices and policies in selecting methods, techniques and evaluation criteria for obtaining results., • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and seeking challenges, • Excellent problem solving, communication and collaboration skills Applied experience with several of the following: • AI Engineering & Production AI Lifecycle: Ability to design, build, and deliver AI systems end-to-end in a production environment. Deep understanding of the AI lifecycle — from problem framing and data preparation through model development, evaluation, deployment, monitoring, and continuous improvement. Experience with CI/CD for AI, model versioning, observability, and responsible AI practices., • Generative AI, Agentic & Context Engineering: Expertise in modern Generative AI and NLP technologies including LLMs, RAG, LangChain, LangGraph, vector databases, etc. Skilled in context engineering — prompt engineering, dynamic context construction, context window management, and structured output design. Experience building AI agent harnesses and orchestration frameworks including scaffolding, tool registries, and evaluation loops. Hands-on experience designing MCP servers to expose enterprise tools and APIs to AI agents, and implementing Agent-to-Agent (A2A) communication patterns and multi-agent architectures to solve complex, multi-step business problems., • Machine Learning: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models, • Data Acquisition and Transformation: Acquiring data from disparate data sources using API's and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management System: Knowledge of how databases are structured and function in order to use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Wrangling: Preparing data for further analysis; Redefining and mapping raw data to generate insights; Processing of large datasets (structured, unstructured)., • AWS DevOps: Experience in the project development life cycle in an AWS environment. Familiar with development, QA, staging and production deployment stages., • Programming Languages: Python, SQL

Our Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across the organization. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities: Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education • Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Title: QA Automation Engineer II Location: Jersey City, NJ(Hybrid) Duration: 8+ Months (Possible Extension) ("US citizens and Green Card Holders and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time.”) A reasonable, good faith estimate of the minimum and maximum hourly rate on W2 for this position is $55 to $67 with limited benefits. Job Description: Key Experiences: • 9+ years of proven experience in the software development industry, participating in a team environment., • 5+ years of experience in UI automation, such as Selenium WebDriver., • 5+ years of proven experience in testing web services such as RESTful API., • 3+ years of proven experience in performance testing using tools such as Apache JMeter., • 2+ years of working in a cloud-based development and production environment such as AWS., • 3+ years of proven experience with programming languages such Java/C#. Familiarity with Python is a plus. Seeking candidates with solid coding proficiency in Java or C#., • Proficient with both SQL and NoSQL databases., • Experienced working in Continuous Integration/Continuous Deployment (CI/CD) environments., • Having AWS/Cloud technologies and AI/ML powered applications knowledge are big plus. Top 3 Skills Required for this position: 1. Experience in Manual UI Testing & Automation testing using Selenium with C# (Mandatory), 2. Experience in Manual API Testing using Postman or any tool and Automation Testing Experience using JMeter or any Automation tool (Mandatory), 3. Experience with Python Coding (Mandatory) Key Responsibilities: • Design and execute functional and automation testing for applications., • Develop and execute automated test scripts using testing tools; document and summarize results., • Build, update, and maintain UI automation test cases using Selenium with C#., • Perform manual API testing using tools such as Postman or Insomnia., • Perform API automation testing using industry-standard frameworks and tools., • Participate actively in Agile ceremonies (daily stand-ups, sprint planning, retrospectives)., • Collaborate closely with Development and Business teams to ensure project success., • Quickly adapt to new technologies and tools (e.g., Amazon Web Services)., • Work with SQL and NoSQL databases for backend validation and robust data testing., • Create comprehensive end-to-end test plans, test specifications, and test case templates., • Develop and document detailed test plans and test cases., • Facilitate defect tracking, reporting, and resolution management., • Review requirements (Functional Specifications, User Stories, Change Requests) to ensure full coverage., • Identify and manage test data; prepare automation-ready test cases., • Conduct system testing, regression testing, and support User Acceptance Testing (UAT)., • Apply test case design techniques (e.g., boundary value analysis, equivalence partitioning)., • Implement Shift Left Testing practices by participating in early requirement and design reviews, writing acceptance criteria up front, and integrating automated tests in CI/CD pipelines., • Be actively involved in the deployment process, collaborating with DevOps and engineering teams to ensure smooth releases., • Working knowledge of Python for scripting and automation. Nice to Have: • Experience with application monitoring tools (e.g., New Relic, Datadog, CloudWatch)., • Familiarity with AWS services for cloud-based testing and deployment., • Hands-on experience with performance and load testing using JMeter, • Experience with testing AI/ML-powered applications, including validating model outputs, creating test datasets, evaluating model performance.

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. The Role: We’re looking for a Product Support Engineer who thrives on solving complex problems and improving the stability of our platform. This role is focused on debugging, maintaining, and improving our existing codebase — not testing or identifying bugs, but actually fixing them. You’ll work closely with QA, and the Engineering team to ensure issues are resolved quickly and permanently, helping deliver a more stable and reliable experience for our users. What you’ll be doing: * Investigate, reproduce, and resolve software bugs identified by QA, customers, or internal teams. * Dive deep into the codebase to identify root causes, design effective fixes, and prevent regressions. * Collaborate with Support and Engineering to triage issues and prioritize fixes. * Write high-quality, maintainable code that improves stability and performance. * Contribute automated tests or monitoring to ensure long-term reliability. * Participate in code reviews and contribute to improving overall code quality and technical debt reduction. * Document bug patterns, fixes, and debugging techniques for internal knowledge sharing. * Occasionally support production hotfixes or emergency patch releases in coordination with DevOps or SRE. The qualifications you need: * 3+ years of professional software engineering experience (or strong equivalent skills). * Proficiency in one or more modern programming languages (e.g., Python, JavaScript/TypeScript, Node, Go, C#). * Strong debugging skills — comfortable reading unfamiliar code, logs, and stack traces. * Understanding of software lifecycle, CI/CD pipelines, and version control (Git). * Experience working with QA or support teams on issue resolution. * Curiosity and persistence in root-cause analysis — you like “making things right” more than “starting from scratch.” * (Nice to have) Experience with observability tools (e.g., Sentry, Datadog, Grafana) or issue trackers (e.g., Jira, Linear). Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company.

Job Title: Data Scientist Duration: 12 months Location: Hybrid (Newark, NJ) and requires your on-site presence on a reoccurring weekly basis as determined by your business. Your manager will provide additional details relative to the specific number of days you are expected to be on-site. Job Description: As a Data Scientist, you will partner with Machine Learning Engineers, Data Engineers, Business Leaders and other professionals to build GenAI and ML models to improve advisor experience, perform lead scoring, and increase sales revenue. You will implement AI and machine learning models that will deliver stability, scalability and integration with other advisor products and services. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to deep technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do. Here is what you can expect in a typical day: • Provide deep technical leadership to a portfolio of high impact data science initiatives involving sales and advisor experience. Identify the optimal sets of data, models, training, and testing techniques required for successful product delivery. Remove complex technical impediments, • Leverage your experience and skills to identify new opportunities where data science and AI can improve experiences, gain efficiencies, and generate sales., • Apply hands-on experience to ensuring best-in-class model development., • Communicate clearly and concisely, in writing and verbally, all facets of model design and development. Continuously look for insights in models developed and generate new ideas for model improvement., • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure the successful deployment of ML models and application code on Prudential's AI/ML platform., • Bring a deep understanding of relevant and emerging technologies and embed learning and innovation in the day-to-day., • Work on significant and unique issues where analysis of situations or data requires an evaluation of intangible variables and may impact future concepts, products or technologies., • Familiarity with Python, SQL, AWS, and JIRA., • Familiarity with LLMs, deployment of LLMs, RAG, LangChain, LangGraph, and Agentic AI concepts., • The Skills and expertise you bring:, • Applied Statistics, Computer Science, or Engineering or experience in related fields with a focus on machine learning, AI, and LLMs., • Junior category industry experience with responsibility for developing and delivering advanced quantitative, AI/ML, analytical and statistical solutions., • Ability to lead a small team with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization to deliver AI products., • Ability to influence business stakeholders and to drive adoption of AI/ML solutions., • Experience with agile development methodologies, Test-Driven Development (TDD), and product management., • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Demonstrated ability to mentor and operational management of data science team based on project requirements, resourcing requirements, and planning dependencies as appropriate, anticipate risks and bottlenecks and proactively takes actions, • Excellent problem solving, communication and collaboration skills, and stakeholder management Experience and/or deep expertise with several of the following:, • Machine Learning and AI: Understanding of machine learning theory, including the mathematics underlying machine learning algorithms. Expertise in the application of machine learning theory to building, training, testing, interpreting and monitoring machine learning models. Expertise in traditional machine learning models (unsupervised, XGBoost, etc.) and Large Language Models (OpenAI, Claude)., • Model Deployment: Understanding of model development life cycle, CI/CD/CT pipelines (using tools like Jenkins, CloudBees, Harness, etc.), A/B testing, and pipeline frameworks such as AWS SageMaker, and newer AWS/Azure Agentic AI infrastructure products., • Data Acquisition and Transformation: Acquiring data from disparate data sources using APIs and SQL. Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python., • Database Management Systems: Knowledge of how databases are structured and function in order use them efficiently. May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc., • Data Analysis and Insights: Analyzing structured and unstructured data using data visualization, manipulation, and statistical methods to identify patterns, anomalies, relationships, and trends.

Job Title: Security Engineer Duration: 6 months Location: Hybrid (Newark, NJ) Responsibilities • Configure and build applications ensuring that the solution follows latest practices and industry standards for SSPM using modern design patterns and architectural principles; remove technical impediments, • Be responsible for administration of the platform (User/Role management, security configuration, integrations, etc), • Onboard and maintain out of the box integrations to other SaaS tools, • Develop and maintain custom integrations using the AppOmni developer platform (python based) which run in our container environment, • Leverage the AppOmni API to automate functionality, • Partner with stakeholders across the Information Security Office on AppOmni capabilities and support, • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards?that stay aligned with platform vendor roadmap and direction, • Design the business logic and integration patterns with Prudential Ecosystem, using modern integration, data, and security patterns, • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems??, • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day??, • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables. The Skills & Expertise You Bring • Bachelor of Computer Science or Engineering or experience in related fields, • Previous technical experience working with SaaS platforms (development/administration), • Experience working with/implementing security controls offered by SaaS tools, • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization??, • Experience with agile development methodologies and Test-Driven Development (TDD), • Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's business, • Ability to learn new skills and knowledge on an on-going basis through self-initiative and tackling challenges, • Excellent problem solving, communication and collaboration skills Preferred qualifications: o A strong security focused mindset with relevant experience o A strong understanding of CI/CD principles and running jobs in AWS (Ex. Containers) o Collaboration skills to work with business partners and agile teams o Knowledge of GitHub, DevOps automation tools & practices o Experience with agile development methodologies and Test Driven Development (TDD) o Testing tools such as SOAPUI, Postman, Selenium o Financial/Insurance industry experience is a plus, not a must

Job Title: QA Engineer Location: Hybrid- Newark, NJ Duration: 12 months Overview The Engineering team is seeking a candidate to lead the design and development of AI-powered test automation capabilities across client. This role will leverage AI and LLM technologies to fundamentally transform how functional, regression, and integration testing is created, maintained, and executed. We are looking for someone who combines strong quality engineering fundamentals with a passion for AI-driven development. The successful candidate will define the strategy for AI-powered test automation, build frameworks that use AI to generate and maintain test suites, and establish standards that ensure consistent quality across applications. Key Responsibilities Test Automation & AI Integration • Design and build AI-powered test automation frameworks that leverage LLMs to generate, execute, and maintain test cases for functional, regression, and integration testing, • Develop AI-driven approaches to analyze application code and automatically generate meaningful test coverage, • Build and maintain reusable automation components that integrate AI capabilities into existing test pipelines, • Create self-healing test suites that use AI to adapt to application changes and reduce maintenance overhead Strategy & Standards • Define the overall strategy and roadmap for AI-powered quality engineering across the organization, • Establish standards for test automation quality, coverage thresholds, and AI-generated test validation, • Evaluate and integrate AI/LLM tools into the testing lifecycle, assessing their reliability and enterprise fit, • Define best practices for prompt engineering in the context of test generation and validation, • Track and report on the effectiveness of AI-driven testing compared to traditional approaches Collaboration • Partner with agentic code development and AI tooling teams to ensure quality is embedded throughout the AI-powered SDLC, • Work with development teams to integrate AI-driven testing into their CI/CD pipelines, • Collaborate with InfoSec and compliance teams to ensure AI-generated tests meet enterprise requirements, • Share knowledge and best practices across teams, building organizational capability in AI-powered testing Qualifications Required Experience • Extensive experience in quality engineering, test automation, or software development in an enterprise environment, • Demonstrated experience building and maintaining test automation frameworks, • Strong programming background in multiple languages (Python, JavaScript/TypeScript, Java, etc.), • Experience with AI/LLM tools and platforms (Claude, ChatGPT, Copilot, or similar), • Fluency with Agile delivery methodologies and Test-Driven Development (TDD), • Experience integrating test automation into CI/CD pipelines Technical Skills • Deep knowledge of test automation frameworks and tools (Selenium, Playwright, Cypress, or similar), • Understanding of prompt engineering principles applied to test generation and validation, • Experience with API testing, contract testing, and integration testing patterns, • Familiarity with AI agent frameworks and how they can be applied to testing workflows, • Knowledge of DevOps practices and CI/CD tooling, • Strong technical troubleshooting and problem-solving skills Preferred • Hands-on experience with Claude Code or similar AI development tools, • Experience with MCP (Model Context Protocol) integrations Soft Skills • Ability to define and communicate a technical vision for AI-powered quality engineering, • Strong analytical mindset - able to evaluate AI-generated outputs critically, • Self-directed with ability to work independently while collaborating across teams, • Ability to learn quickly in the fast-moving AI space, • Strong written and verbal communication skills Education - Bachelor's or Master's degree in Computer Science, Information Systems, or related technical field

Job Description Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. The Technology Partner is a multi-faceted leadership role and part of Tiger’s core Data & Insights Solutions practice leadership. This role will be required to bring breadth and depth of technology expertise, founded in - experience with delivering large transformation, leading innovation driven practices, consulting to and managing executive stakeholders across IT and Business. Key Responsibilities: • Client Engagement & Advisory, • Partner with senior data leaders to provide strategic, forward-looking advisory, • Lead client reviews and recommend improvements across platforms, operating models, and practices, • Drive enterprise transformation initiatives across technology, organization, and processes, • Deliver thought leadership through workshops and knowledge-sharing sessions, • Solutioning & Pre-Sales, • Present capabilities and support business development initiatives, • Develop solutions and proposals for complex client requirements, • Architect scalable solutions for high-impact, first-of-its-kind programs, • Practice Leadership, • Mentor and develop engineering and architecture talent, • Manage and guide architect resources across engagements, • Contribute to go-to-market assets (reference architectures, frameworks, best practices), • Support hiring and strengthen talent acquisition processes, • Collaborate with global teams to enhance delivery and capabilities, • Expertise & Skills, • Strong experience in solution architecture for large-scale enterprise transformation programs, • Deep expertise in modern data platforms (NoSQL, MPP, columnar, big data, cloud – AWS, Azure, GCP), • Experience with data processing frameworks (batch ETL, real-time streaming, IoT architectures), • Knowledge of Data Fabric, Data Mesh, and enterprise data architecture patterns, • Expertise in data management practices, including data governance, cataloging, and data security, • Experience with MLOps, ML lifecycle, and advanced analytics platforms, • Strong background in data warehousing, BI ecosystems, and analytics solutions, • Proficiency in DevOps, Infrastructure as Code, and programming (Python, Java, Scala, etc.), • Exposure to knowledge graphs, customer data platforms, and digital analytics ecosystems, • Soft Skills, • Strong ownership mindset with an entrepreneurial approach, • Ability to work with ambiguity and solve complex, abstract problems, • Excellent stakeholder management and collaboration skills, • Bachelor’s degree in Computer Science or related field (or equivalent experience), • 15+ years of experience in solution architecture and technology platforms, • 5+ years in consulting leadership roles Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibilities. Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Job Description Be Part Of A High-Performing Team: Join a globally recognized financial services organization operating at the forefront of banking and technology innovation. This team sits within a large-scale enterprise technology division supporting critical systems across the Americas. The environment is fast-paced, highly collaborative, and focused on delivering secure, scalable, and high-impact solutions. Engineers here work on modernizing backend systems, enabling data-driven applications, and supporting mission-critical platforms used across the business. What’s In Store For You: • Engagement: W2 only (no C2C/1099), • Opportunity to contribute to enterprise-scale systems within a leading financial institution, • Exposure to modern backend engineering, APIs, and data-driven application development, • Design, develop, and maintain scalable backend applications using Python, • Build and enhance RESTful APIs to support internal and external systems, • Integrate databases, third-party platforms, and enterprise services into applications, • Write clean, efficient, and well-documented code aligned with best practices, • Conduct unit testing, debugging, and performance optimization to ensure reliability, • Collaborate with cross-functional teams to gather requirements and deliver solutions, • 10+ years of experience in software development with strong Python expertise, • Proven experience building backend systems, APIs, and scalable applications, • Strong understanding of data structures, algorithms, and object-oriented programming, • Experience with RESTful services, database integration (SQL/NoSQL), and version control (Git), • Familiarity with cloud platforms (AWS/Azure), DevOps tools, or CI/CD pipelines is a plus, • Exposure to front-end technologies is beneficial but not required, • Strong analytical thinking, problem-solving skills, and ability to work independently or within agile teams, • Excellent communication skills and ability to collaborate across technical and business stakeholders

Job Description Position Description A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Quantum Information Theory and Network Security. This role is critical in building a secure data path for our quantum networking products. You will responsible for using theoretical quantum principles and photonic hardware to create deployment-ready software for Quantum Key Distribution (QKD), Quantum Zero-knowledge Proof (QZEK-P), Quantum Physical Unclonnable Functions (QPUF), and secure entanglement distribution. Responsibilities • Design and implement high-performance C++ software for real-time quantum cryptographic protocols, including entanglement-based polarization and time-energy QKD., • Develop efficient algorithms for classical post-processing in quantum-secured systems, specifically focusing on Error Correction (Information Reconciliation), Privacy Amplification to maximize secure key rates, and quantum authentication/confirmation., • Architect the Hardware Abstraction Layer (HAL) for distributed quantum networking nodes (Alice/Bob), interfacing with single-photon detectors, polarization controllers, and time-tagging electronics., • Optimize the full cryptographic stack for latency and throughput, ensuring seamless integration between quantum key generation, quantum authentication/confirmation, and the key management entity.., • Collaborate with optical physicists and FPGA engineers to deliver new features and provide updates as existing hardware is upgraded over time., • Develop simulation tools to model channel loss, noise sources, and the statistical performance of quantum protocols. Required Qualifications • Bachelor’s degree in Computer Science, Electrical Engineering, Physics, or Mathematics is required., • 6+ years of experience in software engineering with a focus on systems, security, or embedded devices., • Strong proficiency in C++ and Python., • Deep domain knowledge of Quantum Key Distribution (QKD) protocols (e.g., BB84, E91, BBM92) and their implementation requirements., • Experience implementing Error Correction codes (e.g., LDPC, Cascade, Winnow) or Forward Error Correction (FEC) specifically for noisy communication channels., • Understanding of Quantum Information concepts, including entanglement distribution, Bell state measurement, and qubit polarization encoding., • Familiarity with high-speed data acquisition and processing protocols (e.g., PCIe, DMA, UDP/TCP)., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang). Preferred Qualifications • Knowledge of classical cryptography standards (AES, RSA, ECC) and PKI infrastructure., • Familiarity with Post-Quantum Cryptography (PQC) algorithms (Lattice-based, Hash-based)., • Experience with network security protocols (IPsec, TLS/SSL) and how QKD integrates into the OSI model., • Background in Information Theory and statistical analysis for security proofs. Preferred Education • Master’s or Ph.D. in Quantum Information Science, Physics, or Cryptography is highly preferred. Skills C++, Python, Quantum Key Distribution (QKD), Error Correction, Cryptography, Network Security, Entanglement, Polarization, High Performance Computing, Linux, Algorithms. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is looking for a highly motivated Burning Plasma Scientist to join our Physics team, focusing on modeling energetic particle confinement and transport. In this role, you will run high-fidelity simulations and pioneer the use of Machine Learning surrogates to accelerate our design cycles. You will work directly with our optimization team to ensure our magnetic topologies manage fast-ion loss and heat loads effectively.Key Responsibility Areas: • Execute and analyze high-fidelity simulations using particle-following codes to assess alpha particle and neutral beam ion confinement in 3D magnetic geometries, • Investigate Alfvén Eigenmode (AE) stability using kinetic-MHD hybrid codes and assess their impact on energetic particle transport, • Develop reduced-order models and ML surrogates trained on simulation databases to enable real-time prediction of pressure profiles, • Collaborate with the engineering team to iterate on coil designs and divertor configurations to minimize fast-ion losses, • Develop synthetic diagnostics (e.g. Fast-Ion Loss Detectors, Neutron Cameras) to bridge the gap between our models and future experimental campaignsIdeal Experience & Skillsets:, • PhD in Plasma Physics, Computational Physics, or related field (or Master’s / Bachelor’s with equivalent research experience), • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, or MATLAB), • Creative problem solving and proven ability to thrive in collaborative environments such as startups or research groups, • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally, • Passion for advancing the field of fusion energy research, • Familiarity with kinetic, MHD or particle-following codes, • Experience developing Machine Learning surrogates for physical systems, • Familiarity with energetic particle diagnosticsCompany Benefits:, • Salary range $135,000-$210,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking a highly motivated plasma physicist to join our team, focusing on the analysis, simulation, and optimization of the divertor region of a stellarator magnetic field. The ideal candidate will possess a strong background in plasma physics, with a particular emphasis on plasma fluid models, neutral particle models, and/or atomic processes within plasmas. Experience with the boundary of fusion devices is a plus. You will work on a dynamic team, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for the simulation of fluid plasmas within complex magnetic edge topologies., • Conduct simulations and analyses of collisional edge plasma in stellarators, coupled with neutral-particle and atomic physics models., • Collaborate with cross-disciplinary teams to design stellarator divertor systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • Prepare technical reports, presentations, and publications based on design, optimization, and simulation results., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or bachelor’s degree in a relevant field with 5+ years of experience or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with the boundary of fusion devices, especially stellarators or tokamaks, is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g. Python, Fortran, C++, and MATLAB)., • Familiarity with simulation tools used in plasma physics research. Preferred Skills: • Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and EMC3-EIRENE., • Experience working on an integrated plasma physics experimental device, ideally a stellarator or tokamak., • Understanding of plasma fluid models and neutral particle models., • Familiarity with Plasma-Material Interactions., • Experience in high-performance computing (HPC) environments.. Personal Attributes: • Excellent analytical, problem-solving, and communication skills., • Ability to work independently and manage projects., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $170,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job DescriptionDescription: Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 JN -042026-106337 #LI-JS1 Responsibilities: • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionDescription: Hybrid Onsite 5 days/week, alternating weeks in either Jersey City, NJ, TX, BOS, MMK or SMT The organization seeks a Sr. KDB+ Developer to build and maintain regulatory reporting applications across multiple asset classes. The role will design, develop, and deliver solutions with high reliability and performance under regulatory scrutiny. The position will collaborate with business partners and technology teams, contributing to architecture, analysis, and hands-on development. The work focuses on KDB+, Linux, and modern data and DevOps tooling to enable accurate and timely reporting. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $100.00 to $120.00/hr. w2 Responsibilities: • Design, build, and maintain KDB+ applications for regulatory reporting across multiple asset classes., • Collaborate with regulatory reporting business teams and brokerage technology teams to deliver end-to-end solutions., • Contribute to architecture, design, and analysis activities to ensure scalable and reliable systems., • Develop and support REST microservices and data integration components., • Implement deployment automation and CI/CD pipelines for reliable releases., • Support event streaming and messaging integrations as needed., • 10+ years of development with KDB+, Java, and Python., • Deep understanding of programming languages and data structures., • Hands-on experience with Linux and bash., • Experience with application deployment automation and pipelines., • Experience with Apache Kafka or other event streaming platforms (preferred)., • Experience executing projects in Agile environments such as Kanban and Scrum., • 5+ years with user interface frameworks or platforms such as Angular or React., • Experience with relational and NoSQL databases., • Experience with DevOps and CI/CD tools such as Kubernetes, Maven, Jenkins, Stash, Ansible, and Docker., • Experience using source control for feature-driven development in Bitbucket, Stash, or Git., • Experience with Artifactory and familiarity with API registries such as Apigee., • Familiarity with automated deployment in uDeploy., • Ability to learn new technologies and solve complex problems. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job Description Position Summary A client of AlphaStaffHCM is seeking an experienced Photonic Integrated Circuit (PIC) Test Engineer to test, evaluate and analyze the photonic devices for market and internal quantum applications. This role will collaborate closely with the PIC design and fabrication team to iterate and optimize out internal PDK, customized devices. The test work should be summarized to debug with design team and fabrication team. Key Responsibilities Testing & Characterization • Oversee optical and electrical characterization of fabricated PICs, analyzing performance against design targets., • Identify and implement design or process improvements based on test data., • Develop automated test procedures where applicable., • Collaborate with the fabrication team to estimate the fabrication robustness of the PDK and customized design., • Collaborate with the design team to analyze each fab run and iterate for next run. Required Qualifications • Ph.D. or master’s degree in electrical engineering, Applied Physics, Photonics, or related field., • 3+ years of hands-on experience in PIC test on fiber optics and free space optics, and wafer level testing, • 1+ years of experience with high-speed EOM Characterization with VNA/LCA., • Programming skills for data analysis and automation (Python, MATLAB)., • Strong knowledge of waveguide theory, coupling mechanisms, electrical and photonic device physics. Preferred Qualifications • Experience in quantum and nonlinear photonic systems or related applications., • Experience in packaged hybrid photonic/electronic chip test., • Experience in yield estimation and defect analysis., • Experience in lab equipment remote control and automated test. Key Attributes • Strong communication skills and the ability to influence across teams., • Passion for innovation and pushing the limits of photonic technology. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview: We are seeking highly motivated Computational Plasma Physicists to join our team, focusing on stellarator and fusion plasma physics simulations. The ideal candidate will possess a strong background in computational physics, with a particular emphasis on MHD stability in stellarators and stellarator optimization. You will work with minimal supervision, contributing to cutting-edge research and development in Thea Energy’s stellarator systems. Key Responsibilities: • Develop and implement algorithms for analyzing and improving stellarator configurations., • Conduct simulations and analysis of fusion plasma behavior in stellarators, using advanced computational models., • Collaborate with cross-disciplinary teams to refine designs and improve the performance of stellarator systems., • Perform data analysis, model validation, and provide insights into the physical mechanisms governing plasma behavior., • PhD in Plasma Physics, Computational Physics, Applied Physics, or a related field, or master’s degree in relevant field with 2+ years of experience., • Strong knowledge of computational plasma physics and numerical simulations., • Experience with stellarators is a plus., • Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)., • Excellent analytical, problem-solving, and communication skills. Preferred Skills: • Experience with any of the stellarator design, stability or transport codes such as DESC, STELLOPT, VMEC, TERPSICHORE, M3DC-1, GX, GENE-3D., • Understanding of optimized stellarator magnetic field generation and coil optimization techniques., • Experience in high-performance computing (HPC) environments. Personal Attributes: • Ability to work independently and manage projects with minimal supervision., • Strong attention to detail and a passion for advancing the field of fusion energy research., • Willingness to collaborate with a diverse team of scientists and engineers within the company and externally.Company Benefits:, • Salary range $120,000 - $140,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job Description Job Description: Palantir Data Engineer We are seeking a seasoned Data Engineer with 3-7 years of experience in data engineering, cloud platforms and distributed systems, along with 2+ years of hands-on experience with Palantir Foundry/ AIP. The ideal candidate will work on designing scalable data solutions, building robust data pipelines, modelling enterprise datasets and enabling analytics and AI/ML use cases on Palantir Foundry. Experience in the insurance domain is a plus. Location – Jersey City, NJ Key Requirements • 3-7 years of overall experience in data engineering, building and maintaining large-scale data pipelines and platforms., • 2+ years of hands-on experience with Palantir Foundry, including data ingestion, pipeline builder, transformations and working with Foundry datasets and applications., • Experience building interactive applications using Foundry Workshop, Slate and custom frontends using TypeScript., • Proficiency in programming languages such as Python, PySpark, and TypeScript/JavaScript., • Strong experience with AWS services for data processing and storage (e.g., S3, Glue, Athena, Lambda, Redshift)., • Deep understanding of microservices architecture and distributed systems., • Familiarity with AI/ML tools and frameworks (e.g., TensorFlow, PyTorch) and their integration into data pipelines., • Experience with big data technologies like Snowflake., • Strong problem-solving and performance optimization skills., • Exposure to modern DevOps practices, including CI/CD pipelines and container orchestration tools like Docker and Kubernetes., • Experience working in agile environments delivering complex data engineering solutions., • Palantir Foundry certification or demonstrated project experience is highly preferred., • 3+ years of work experience with Data Engineering, • 2+ years of work experience with Palantir, • 3+ years of work experience with Python (Programming Language)

Job Locations US-NJ-Paramus ID 2026-1946 Category Information Technology Type Regular Full-Time The Senior Data Engineer, Biz Ops will play a critical role in architecting the data infrastructure powering our AI-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform-driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AI-native use cases, and establishing the foundational data architecture for our end-to-end decision-intelligence platform.driven business operations platform. This role is responsible for analyzing the current database environment, redesigning it for AInative use cases, and establishing the foundational data architecture for our endtoend decisionintelligence platform. You will design scalable data ecosystems-including Data Lakes, Data Pipelines, and semantic modeling layers-using modern engineering standards (dbt, orchestration frameworks, CI/CD). Working closely with commercial and business operations experts, you will dissect existing workflows and reimagine them as AI-ready, streamlined processes in collaboration with AI Scientists and AI Engineers. You will translate ambiguous operational and business challenges into clean, reliable, ontology-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up-aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a high-impact senior role for someone who thrives in owning a data ecosystem end-to-end and building AI-centric data infrastructure from the ground up.aligned data models that enable forecasting, planning, and optimization across the value chain, beginning with supply chain operations. This is a highimpact senior role for someone who thrives in owning a data ecosystem endtoend and building AIcentric data infrastructure from the ground up. Analyze existing databases and redesign them for AI/ML readiness, including ontologydriven and semantic data modeling. • Architect and implement centralized Data Lake and scalable, robust data pipelines supporting operational workflows and AIdriven decision processes., • Build and maintain highquality data transformations using dbt and enforce software engineering best practices across the data stack., • Design featureready data models to support AI/ML use cases such as forecasting, classification, and optimization., • Develop secure and reliable data ingestion frameworks (batch and streaming) with strong observability and performance controls., • Partner with Commercial, Marketing, and AI teams to translate business problems into data requirements, semantic models, and scalable pipelines., • Implement data quality, lineage, and governance practices aligned with enterprise standards., • Lead technical direction on modern data stack architecture and continuously improve scalability, efficiency, and maintainability., • Contribute to an agile, experimentationdriven culture, balancing rapid PoC execution with longterm architectural integrity., • Education: Bachelor's degree or higher in Computer Science, Engineering, or related field., • Experience: 5+ years of hands-on experience in Data Engineering or technical Analytics Engineering, with deep experience building data lakes and orchestrating complex pipelines., • Skills:, • Strong programming proficiency in Python and PySpark for largescale distributed data processing, data manipulation, automation, and pipeline development., • Expertlevel SQL for data modeling, complex transformations, and performance optimization., • Experience with modern data lake table formats such as Apache Iceberg., • Familiarity with Medallion Data Architecture (Bronze/Silver/Gold) for scalable and governed data processing., • Handson experience with modern transformation frameworks (e.g., dbt) and orchestration tools (e.g., Airflow or Python-based schedulers)., • Knowledge of core AWS or Azure data services and data observability practices., • Experience optimizing data models for BI and visualization tools (e.g., Tableau)., • Ability to define business metrics and derive semantic meaning from operational KPIs. Strongly Preferred • Master's degree or higher in a quantitative or technical field., • Experience working with ML pipelines (e.g., MLflow, Feature Stores) and collaborating with AI Scientists/Engineers., • Knowledge of ontologybased modeling, semantic layers, and modern data architectures (e.g., Data Mesh, Data Fabric)., • Experience with Graph Databases (e.g., Neo4j) for semantic modeling, ontology alignment, or operational knowledge graphs., • Domain experience in Supply Chain Management (SCM), BizOps, RevOps, or Commercial Operations., • Experience in regulated industries (e.g., biopharma, healthcare, finance)., • Experience in a BizOps or highly crossfunctional technical role., • Handson experience with Snowflake architecture. Who Thrives in This Role • Someone who enjoys owning a data ecosystem endtoend and building from zero to one., • A strategic thinker who balances strong technical depth with understanding of real business context., • An engineer who thrives in close collaboration with Commercial and AI teams to define how data powers decisions., • A builder comfortable operating in a fastpaced, startuplike environment where innovation and speed matter., • An "Agile Operator" who can rapidly prototype for PoCs while architecting for longterm scalability and reliability.

Title: Data Analyst Department: Biomedical Engineering Reports To: Dist Professor Bio-Medical Engineering Position Type: Staff Position Summary: The candidate will process and analyze neuroimaging datasets. They will help build models to better understand brain activity. They will also help the PI in writing up the methods and results. Essential Functions: • Gather and analyze neuroimaging data. This data will be used to quantify subjective experiences during data collection from the brain., • Process and analyze fMRI datasets to understand brain activity related to video stimuli., • Build models to better understand brain activity., • Assist the PI in writing up the methods and results. Prerequisite Qualifications: • Strong understanding of statistical analysis and programming concepts., • Completion of training in human subjects research ethics and procedures., • At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position. Preferred Qualifications: • Experience in Matlab and Python is highly desirable. Salary Information: In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $20.00(USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items. FLSA: Non-Exempt Part-Time Apply NowShare Save Job

Discover What's Possible at BetMGM Ready to make your career legendary? Join us as we bring the magic of Vegas to our players. The BetMGM team has over 1,400 talented members, revolutionizing sports betting and online gaming in the United States and Canada. We're a brand with technology at our hearts and the most driven and focused talent in the business. As a valued team member, we're committed to giving you the resources and support you need to thrive. Our benefits and perks include: * Medical, Dental, Vision, Life, and Disability Insurance * 401(k) with company match * Pre-tax spending accounts including health care FSA and commuter savings * Flexible paid time off * Professional development reimbursement and ongoing skills training opportunities * Employee resource groups * Swag, ticket giveaways, and more! At BetMGM, we recognize that every individual plays a meaningful role in our success. That's why we're committed to building a respectful, inclusive workplace. It's the strategy behind every win. By meeting people where they are, we create a culture of belonging where everyone can thrive and a workplace that reflects our values, our people, and our drive to win. Responsibilities • Partner with analysts and trading teams to optimize trading settings (delays, limits, combinability), balancing risk prevention, bet rejections, and customer experience., • Serve as the subject matter expert on trading performance, providing insights and alignment across marketing, product, and VIP teams., • Oversee new trading initiatives, analyzing performance and customer behavior impact., • Partner with Trading Support and Trading Operations teams to improve settlement times, with a focus on accuracy and timeliness., • Serve as a reliable liaison for our trading department and third-party providers, addressing issues and communicating information related to feed reliability., • Help improve and maintain competitive uptime for our in-play offering, while also monitoring and reporting on the functionality of our pre-match offering. Leveraging data through detailed tracking and reporting to find areas of focus., • Develop and deliver both real-time and retroactive performance reporting in collaboration with the Business Intelligence and Trading Support teams., • Deliver routine presentations on key findings and insights to senior leaders in Trading and Product. Essential Functions • Bachelor's degree in a related field or equivalent work experience., • Possesses strong analytical and mathematical skills, with the ability to spot trends and patterns within large datasets, enabling data-driven decision-making., • Experience in a trading role at a major operator a plus., • Deep understanding of the industry, with specialized knowledge of trading capabilities and customer behavior a plus., • Strong communication skills (verbal, written, and presentation), with proven experience in managing relationships, conveying technical information clearly, and addressing issues or performance concerns with relevant teams., • Knowledge and experience of SQL and programming languages such as Python or R., • Ability to independently deliver high quality work under the pressure of tight deadlines., • Flexibility to work outside of regular hours when needed, including occasional nights, weekends, and holidays. Compensation The annual salary range for this position is $61,760 - $92,640.00. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance -based bonus plan. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration sponsorship. At this time, this role is not eligible for immigration-related employment authorization sponsorship including H-1B, O-1, E-3, TN, OPT, etc. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support BetMGM's responsible gambling policies, procedures, and initiatives. About BetMGM BetMGM is revolutionizing sports betting and online gaming in the United States and Canada. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Casino, BetMGM Sportsbook, Borgata Online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. If you need assistance or accommodation with your application due to a disability, you may contact us at . This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-IK1

Infosys is seeking a Python Developer. At least 3 years of experience in end-to-end implementation of projects in Python, especially Python server-side backend programming.

Role--Python Production Support. Seeking a skilled professional with expertise in Unix Python and production support to manage and maintain critical IT infrastructure and applications. Proficient in Unix operating systems and scripting Strong knowledge of Python programming and package management us

A leading blockchain technology company is seeking a Senior Site Reliability Engineer to build and maintain an observability platform.The ideal candidate will have over 7 years of relevant experience, a strong DevOps mindset, and proficiency in programming languages such as Python, Go, or C++.Respon

Transform data using SQL and Python. Visualizing data using a diverse tool set including but not limited to Python. Programming Languages: Python, SQL.

Programming Languages: Python, Java or JavaScript; distributed systems, object oriented programming,. Java services using Spring CLI, Maven, Microservices, multi-threading, concurrency and parallel processing.

Job Title: T-SQL Developer with Java.Location: Weehawken, New Jersey, United States.Must Have skill Set: should be strong on the below skill set , Stan.T-SQL(strong be strong on T-SQL and ETL ) , Sybase, Batch Development, Java Programming(should be strong on java ), Python Scripting, Pyspark , Data

Hands on programming in Python as a senior developer on Global Supervisory and Surveillance application. Experience as senior developer on Front office applications in Banking services. Years of experience in Quantitative researcher and developer, ability to deal with domain specific data analysis.

You will architect and implement scalable data solutions while leading a collaborative agile team. The ideal candidate will have over 10 years of experience in data engineering, a strong proficiency in programming languages like Java and Python, and hands-on experience with cloud-native platforms.

The role demands expertise in Databricks, Apache Spark, and strong programming skills in Python/Java.

Bachelor’s degree in computer science, Software Engineering, Electrical Engineering, Statistics, Mathematics, or a related field. Experience with computer vision methods (as relevant to behavioral video/pose/features). Strong programming and software design skills in Python, with a thorough unders

Job Description Position Description: A client of AlphaStaffHCM is looking for a Software Engineer with deep expertise in Mathematical Optimization and algorithm development. This role is critical in architecting the core software engine that drives our proprietary photonic quantum processors, combining complex mathematical formulations with physical optical hardware feedback. Responsibilities • Design and implement the high-performance C++ runtime and Hardware Abstraction Layer (HAL) for photonic optimization computers., • Profile and optimize critical execution paths to minimize latency, addressing bottlenecks in memory bandwidth, cache locality, and data transfer., • Collaborate with FPGA, Electrical engineers and Firmware engineers to ensure to create, test, and optimize device interfaces., • Develop algorithmic enhancements to usage of quantum feedback to solve NP hard optimization problems more efficiently with higher solution quality., • Write efficient, thread-safe code for concurrent hardware control and real-time signal processing., • Design and implement novel algorithms that map optimization and machine-learning problems onto entropy-based photonic quantum processors, including post-processing pipelines., • Build software layers to decompose and orchestrate large-scale optimization problems across multiple photonic hardware resources. Required Qualifications • 6+ years of experience in software engineering with a focus on systems or HPC., • Strong proficiency in C++ and Python, • Strong mathematical background in Convex Optimization, Quadratic Programming (QP), Mixed-Integer Linear Programming (MILP), or Gradient-Free Methods., • Experience with Numerical Analysis and high-performance math libraries (e.g., BLAS, LAPACK, Eigen)., • Familiarity with protocols (e.g., UART, SPI, gRPC, REST) and software integration., • Strong understanding of performance tuning, memory management, and fault-tolerant design., • Familiarity with Linux system programming and build toolchains (CMake, GCC/Clang)., • Experience working in cross-functional teams involving hardware, physics, and software. Preferred Qualifications • Advanced degree (MS/PhD) in Computer Science, Physics, or Mathematics., • Experience with classical optimization solvers (e.g., CPLEX, Gurobi) or heuristic frameworks., • Familiarity with Open Quantum Systems or optical feedback mechanisms., • Background in Digital Signal Processing (DSP) or control theory., • Knowledge of containerized deployment using Docker. Skills C++, High Performance Computing (HPC), Algorithm Design, Mathematical Optimization,, Multi-threading, Linux, CMake, Python, Performance Profiling, Hardware Abstraction, Signal Processing. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job Description Position Description A client of AlphaStaffHCM is seeking an experienced Senior/Principal Engineer to lead the design, integration, and development of photonic integrated circuits with integrated laser sources. The ideal candidate will have deep expertise in semiconductor laser physics, photonic device design, process integration, and system-level modeling. This role requires a hands-on leader capable of driving projects from concept through fabrication, testing, and qualification, with a strong focus on innovation and performance optimization for next-generation photonic systems. Duties and Responsibilities • Lead the design and modeling of integrated photonic circuits incorporating lasers, modulators, amplifiers, and passive components., • Develop and optimize epitaxial structures for laser integration on photonic platforms (e.g., Thin-film lithium niobate, Si photonics)., • Perform optical and electrical modeling using tools such as Lumerical, COMSOL, FDTD, and Matlab/Python codes., • Drive process integration efforts including mask design, fabrication flow development, and collaboration with foundry partners., • Conduct device characterization, performance analysis, and reliability testing to meet product specifications., • Provide technical leadership in cross-functional teams including epitaxy, process engineering, testing, and reliability., • Support product qualification efforts including wafer acceptance testing, reliability modeling, and failure analysis., • Ph.D. in Optics, Photonics, Electrical Engineering, or a related field., • 10+ years of industrial experience in semiconductor laser design, fabrication, and testing., • Strong background in photonic device modeling (FDTD, FDFD, PWEM, TMM, FEM)., • Proficiency with photonic design and simulation tools (Lumerical, COMSOL, Sentaurus, etc.)., • Experience with III-V semiconductor processes including lithography, etching, deposition, and characterization., • Demonstrated ability to lead technical projects and mentor junior engineers., • Experience with photonic crystal lasers (PCSEL), VCSELs, DFB, EML, or SOA devices., • Knowledge of integrated photonic platforms (Si photonics, InP, heterogeneous integration)., • Proficiency in programming for data analysis and automation (Python, Matlab, SQL, VBA)., • Experience with reliability testing, wear-out modeling, and qualification for high-volume production., • Familiarity with mask design tools (KLayout, L-Edit) and process integration for photonics., • Track record of innovation through patents, publications, or product development., • Experience working in a cross-cultural, multi-site R&D environment. Disclaimers: AlphaStaff, Inc. and the Client are equal employment opportunity employers and do not discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender identity, religion, national origin, age, past or present military service, disability, genetic information, or any other basis protected by applicable federal, state, or local laws.

Job DescriptionCompany Description This Project Management position focuses on developing and implementing applications. The role requires identifying business opportunities through continuous client engagement, analyzing user requirements, and designing systems. Key responsibilities include conducting user acceptance testing, gathering customer feedback, and iteratively enhancing products based on market demands and user insights. Onsite 1year contract term Location - Ridgefield Park NJ Salary - $10,190/month Job Description Responsibilities: • Analyze business processes and user requirements to identify AI implementation opportunities, • Design and implement Generative AI solutions using Python-based C/S architectures, • Create and test application prototypes to validate solutions, • Transform complex business workflows into intelligent automation solutions, • Develop business cases and implementation strategies for AI applications, • Lead end-to-end AI system design and deployment, • Manage product lifecycle from conception to delivery, • Coordinate user acceptance testing and integrate feedback for continuous improvement, • Ensure regulatory compliance in system design and implementation, • Build relationships with company affiliates and external stakeholders Qualifications • 7+ years of experience in IT project management, • 5+ years of experience in business development, • 7+ years of experience in financial services with in-depth knowledge of mortgage origination processes, loan processing workflows, underwriting guidelines, and related compliance requirements, • Proven experience in data analytics systems administration Technical Skills: • Mid+ level Python/Java development, • AI/Machine Learning technologies, • Enterprise systems integration, • Data modeling and architecture, • Advanced analytics implementation Core Competencies: • Strong analytical and systems design capabilities, • Expertise in translating complex financial processes into AI-driven solutions, • Advanced Python programming proficiency, • Extensive experience with mortgage technology platforms Preferred Qualifications: • Comprehensive knowledge of regulatory frameworks (Dodd-Frank, RESPA), • Cloud computing expertise, • English-Korean bilingual proficiency Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionCompany Description This Project Management position focuses on developing and implementing applications. The role requires identifying business opportunities through continuous client engagement, analyzing user requirements, and designing systems. Key responsibilities include conducting user acceptance testing, gathering customer feedback, and iteratively enhancing products based on market demands and user insights. Onsite 1year contract term Location - Ridgefield Park NJ Salary - $10,190/month Job Description Responsibilities: • Analyze business processes and user requirements to identify AI implementation opportunities, • Design and implement Generative AI solutions using Python-based C/S architectures, • Create and test application prototypes to validate solutions, • Transform complex business workflows into intelligent automation solutions, • Develop business cases and implementation strategies for AI applications, • Lead end-to-end AI system design and deployment, • Manage product lifecycle from conception to delivery, • Coordinate user acceptance testing and integrate feedback for continuous improvement, • Ensure regulatory compliance in system design and implementation, • Build relationships with company affiliates and external stakeholders Qualifications • 7+ years of experience in IT project management, • 5+ years of experience in business development, • 7+ years of experience in financial services with in-depth knowledge of mortgage origination processes, loan processing workflows, underwriting guidelines, and related compliance requirements, • Proven experience in data analytics systems administration Technical Skills: • Mid+ level Python/Java development, • AI/Machine Learning technologies, • Enterprise systems integration, • Data modeling and architecture, • Advanced analytics implementation Core Competencies: • Strong analytical and systems design capabilities, • Expertise in translating complex financial processes into AI-driven solutions, • Advanced Python programming proficiency, • Extensive experience with mortgage technology platforms Preferred Qualifications: • Comprehensive knowledge of regulatory frameworks (Dodd-Frank, RESPA), • Cloud computing expertise, • English-Korean bilingual proficiency Additional Information All your information will be kept confidential according to EEO guidelines.

The role will involve tasks such as: * Developing and maintaining the Counterparty Credit Risk applications, leveraging in-house Python and C++ model libraries. Qualifications: * Expert in Python * Ability to write clean, tested highly efficient code.

Job Title: Python Developer Location: New York City. We are seeking an exceptionally talented Python Developer to join our growing technology team. Stay current with AWS and Python ecosystem advancements and best practices.

RTTO :: 5 Days Onsite & Day One onsite at client location.Bachelor's degree in Computer science or closely related field.Experience contributing to the system design or Architecture [architecture, design patterns, reliability and scaling] of new and current systems.Experience in Cloud native technol

Qualifications Required A Bachelor's Degree; Graduate Degree preferred At least 3 years of experience with Python Linux / Unix environment experience Experience with PostgreSQL, or other relational databases Able to quickly understand and discuss requirements from Portfolio Managers Preferred Previo

New York City-NY or Boston-MA (100% Onsite-Hybrid).Citizens and those authorized to work in the U.We are unable to sponsor currently.Test-driven development, source code reviews, and change control standards to maintain policy compliance.Strong technical ability, excellent communication and collabor

About the job Senior Python Developer/ML Engineer. Senior Python Developer with ML Expertise. Are you a passionate Python developer with a knack for machine learning? Selekit is on the hunt for a talented individual to join our innovative team remotely from anywhere in the USA.

Proficiency in functional & object-oriented programming, especially Python.