Senior Python/ML Engineer

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