{"schemaVersion":"jobsearcher.job.v1","id":"ec49d8a090c8dcd9268c962a","url":"https://jobsearcher.com/jobs/ec49d8a090c8dcd9268c962a","canonicalUrl":"https://jobsearcher.com/jobs/ec49d8a090c8dcd9268c962a","title":"Machine Learning Engineer","description":"Role: Lead ML EngineerLocation: Newark NJ (Onsite)Duration: W2 Contract (Need Independent candidates on W2 only)As a Lead, Machine Learning Engineer, you will be leading the engineering of Agentic AIsystems and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps andother professionals to implement machine learning models and Agentic AI systems thatwill deliver stability, producibility, scalability and integration with other products andservices. You will implement capabilities to solve sophisticated business problems,deploy innovative products, services and experiences to delight our customers! In additionto advanced technical expertise and experience, you will bring excellent problem solving,communication and teamwork skills, along with agile ways of working, strong businessinsight, an inclusive leadership attitude and a continuous learning focus to all that you do.The Skills and expertise you bring:Ability to coach others with minimal guidance and effectively leverage diverseideas, experiences, thoughts and perspectives to the benefit of the organizationExperience with agile development methodologies and Specification-Driven Development (SDD)Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's businessAbility to learn new skills and knowledge on an on-going basis through self-initiative and tackling challengesAdvanced experience and/or expertise with several of the following:Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs,Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming conceptsMachine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, andreinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc.,Neural network, NLP, computer vision, and predictive analyticsModel Performance and Governance: model monitoring, model validation, bias detection, explainability, performance, drift, outliers and agent observability etc.Model Deployment: Thorough Understanding of ADLC (Agent Development Life Cycle), CI/CD/CT pipelines (using tools like GitActions, Jenkins, CloudBees etc.),A/B testing. Pipeline frameworks like ML Flow, SageMaker pipeline etc. model and data versioning.Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding bigdata ecosystems, relational, NOSQL and graph databases, unstructured and semi structured data. Data processing on distributed systems with Spark/PySparkKnowledge of how databases are structured and function to use them efficiently.May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. SQL (relational), Unstructured(NoSQL), Graph/ontology (Graph DB), semantic data models.Statistics and Computing: Strong knowledge of: Linear Algebra, Probability andStatistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc.Programming Languages: Python, C++, SQLKey ResponsibilitiesArchitect, Design and Development and Deployment of ML models and Agentic AI systems that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impedimentsSolve complex problems by writing and testing application code, developing and validating ML models and Agentic AI, and automating tests and deployment using LLM tools like Claude Code.Leverage cloud-based architectures and technologies to deliver optimized ML models at scaleConstruct optimized data, ingestion and memory pipelines to feed ML models and Agentic systemsLeverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application codeBring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-dayWork on complex problems in which analysis of situations or data requires and evaluation of intangible variables.Use programming languages including but not limited to Python, C++, SQLThank youPraveenpraveen.s@themesoft.com","company":"ThemeSoft","rawCompany":"themesoft","city":"East Newark","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-09-02T07:29:43.713Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"Role: Lead ML EngineerLocation: Newark NJ (Onsite)Duration: W2 Contract (Need Independent candidates on W2 only)As a Lead, Machine Learning Engineer, you will be leading the engineering of Agentic AIsystems and partner with Data Scientists, Data Engineers, Data Analysts, DevSecOps andother professionals to implement machine learning models and Agentic AI systems thatwill deliver stability, producibility, scalability and integration with other products andservices. You will implement capabilities to solve sophisticated business problems,deploy innovative products, services and experiences to delight our customers! In additionto advanced technical expertise and experience, you will bring excellent problem solving,communication and teamwork skills, along with agile ways of working, strong businessinsight, an inclusive leadership attitude and a continuous learning focus to all that you do.The Skills and expertise you bring:Ability to coach others with minimal guidance and effectively leverage diverseideas, experiences, thoughts and perspectives to the benefit of the organizationExperience with agile development methodologies and Specification-Driven Development (SDD)Knowledge of business concepts, tools and processes that are needed for making sound decisions in the context of the company's businessAbility to learn new skills and knowledge on an on-going basis through self-initiative and tackling challengesAdvanced experience and/or expertise with several of the following:Software Engineering & System Design: Requirement analysis, coding, and testing, version control, microservices architecture, building RestFul APIs,Distributed computing, architecture patterns, general understanding of computer architecture, Object-oriented programming conceptsMachine Learning and Deep Learning: Good understanding of: ML algorithms like linear regression, logistic regression, etc., supervised, unsupervised, andreinforcement learning, AI Frameworks like TensorFlow, PyTorch, scikit-learn etc.,Neural network, NLP, computer vision, and predictive analyticsModel Performance and Governance: model monitoring, model validation, bias detection, explainability, performance, drift, outliers and agent observability etc.Model Deployment: Thorough Understanding of ADLC (Agent Development Life Cycle), CI/CD/CT pipelines (using tools like GitActions, Jenkins, CloudBees etc.),A/B testing. Pipeline frameworks like ML Flow, SageMaker pipeline etc. model and data versioning.Data Integration, Transformation & Processing: Transforming and mapping raw data to generate insights. Data wrangling through various tools. Understanding bigdata ecosystems, relational, NOSQL and graph databases, unstructured and semi structured data. Data processing on distributed systems with Spark/PySparkKnowledge of how databases are structured and function to use them efficiently.May include multiple data environments, cloud/AWS, primary and foreign key relationships, table design, database schemas, etc. SQL (relational), Unstructured(NoSQL), Graph/ontology (Graph DB), semantic data models.Statistics and Computing: Strong knowledge of: Linear Algebra, Probability andStatistics, Multivariate Calculus, Distributions like Poisson, Normal, Binomial etc.Programming Languages: Python, C++, SQLKey ResponsibilitiesArchitect, Design and Development and Deployment of ML models and Agentic AI systems that solve real-world business problems, while working in collaboration with the Product and Data Science teams; remove complex technical impedimentsSolve complex problems by writing and testing application code, developing and validating ML models and Agentic AI, and automating tests and deployment using LLM tools like Claude Code.Leverage cloud-based architectures and technologies to deliver optimized ML models at scaleConstruct optimized data, ingestion and memory pipelines to feed ML models and Agentic systemsLeverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application codeBring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-dayWork on complex problems in which analysis of situations or data requires and evaluation of intangible variables.Use programming languages including but not limited to Python, C++, SQLThank youPraveenpraveen.s@themesoft.com","datePosted":"2026-09-02T07:29:43.713Z","dateModified":"2026-09-02T07:29:43.713Z","hiringOrganization":{"@type":"Organization","name":"ThemeSoft","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Newark","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"ec49d8a090c8dcd9268c962a"},"url":"https://jobsearcher.com/jobs/ec49d8a090c8dcd9268c962a"}}