{"schemaVersion":"jobsearcher.job.v1","id":"d07a0a9a39ff4152d44bb359","url":"https://jobsearcher.com/jobs/d07a0a9a39ff4152d44bb359","canonicalUrl":"https://jobsearcher.com/jobs/d07a0a9a39ff4152d44bb359","title":"Senior Python/ML Engineer","description":"Machine Learning EngineerProject type: W2 contractLocation type: Onsite Key Responsibilities:Design and implement intelligent search systems using typeahead, vector search, semantic search, and ML personalizationBuild and scale ML & GenAI/LLM serving systems with strong focus on performance and reliabilityDevelop platform capabilities (CLI, SDKs, Infra Automation, Platform Applications) for ML/LLM lifecycleCombine multiple retrieval systems (vector + autocomplete + personalization) to improve ranking and relevanceBuild and manage data pipelines for production ML/LLM workflowsEnsure data governance, security, and compliance (GDPR, CCPA) and implement data testing frameworksDrive CI/CD for ML systems and continuous delivery of data productsCollaborate on system reliability, automation, and data qualityMentor junior engineers and contribute to technical leadership and design decisionsRequired Skills & Experience:9-10+ years in Python Development/ML engineering (Python, Java)Experience with:Vector/semantic search & embedding-based retrievalTypeahead/autocomplete systemsSearch ranking & relevance optimizationStrong experience deploying ML and GenAI/LLM models in productionHands-on with ML frameworks:Scikit-learn, PyTorch, TensorFlow, LightGBM, Keras, MLflowFamiliarity with LLM tools:LangChain, Hugging Face TransformersExperience with cloud platforms: AWS, GCP, or Azure(SageMaker, Bedrock, Databricks Mosaic AI, Seldon, Arize)Experience with data & streaming tools:Spark, Flink, Kafka, Kinesis, Sqoop, Flume, Airflow, TerraformStrong knowledge of distributed systems, data structures, and scalable architectureExperience building RAG workflows and working with vector databases (preferred)Exposure to BI tools: Tableau, Looker, KNIME","company":"Softstandard Solutions","rawCompany":"softstandard solutions","city":"Middlesex","state":"NJ","isRemote":false,"isActive":false,"createdAt":"2026-04-22T18:54:25.681Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Python/ML Engineer","description":"Machine Learning EngineerProject type: W2 contractLocation type: Onsite Key Responsibilities:Design and implement intelligent search systems using typeahead, vector search, semantic search, and ML personalizationBuild and scale ML & GenAI/LLM serving systems with strong focus on performance and reliabilityDevelop platform capabilities (CLI, SDKs, Infra Automation, Platform Applications) for ML/LLM lifecycleCombine multiple retrieval systems (vector + autocomplete + personalization) to improve ranking and relevanceBuild and manage data pipelines for production ML/LLM workflowsEnsure data governance, security, and compliance (GDPR, CCPA) and implement data testing frameworksDrive CI/CD for ML systems and continuous delivery of data productsCollaborate on system reliability, automation, and data qualityMentor junior engineers and contribute to technical leadership and design decisionsRequired Skills & Experience:9-10+ years in Python Development/ML engineering (Python, Java)Experience with:Vector/semantic search & embedding-based retrievalTypeahead/autocomplete systemsSearch ranking & relevance optimizationStrong experience deploying ML and GenAI/LLM models in productionHands-on with ML frameworks:Scikit-learn, PyTorch, TensorFlow, LightGBM, Keras, MLflowFamiliarity with LLM tools:LangChain, Hugging Face TransformersExperience with cloud platforms: AWS, GCP, or Azure(SageMaker, Bedrock, Databricks Mosaic AI, Seldon, Arize)Experience with data & streaming tools:Spark, Flink, Kafka, Kinesis, Sqoop, Flume, Airflow, TerraformStrong knowledge of distributed systems, data structures, and scalable architectureExperience building RAG workflows and working with vector databases (preferred)Exposure to BI tools: Tableau, Looker, KNIME","datePosted":"2026-04-22T18:54:25.681Z","dateModified":"2026-04-22T18:54:25.681Z","hiringOrganization":{"@type":"Organization","name":"Softstandard Solutions","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Middlesex","addressRegion":"NJ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d07a0a9a39ff4152d44bb359"},"url":"https://jobsearcher.com/jobs/d07a0a9a39ff4152d44bb359"}}