AI/ML Engineer
Greetings:Hi, this is Mounika with Flexton, I have an amazing opportunity with one of our best clients in the Bay Area! Please have a look at JD below and drop your resume to mounikar@flextoninc.com or (408) 333-9240 if interested in applying!!*****Only W2*****Role: AI/ML EngineerLocation: Oakland, CA or Alpharetta, GARequired Skills: 8+ years of experience in machine learning, data science, AI engineering, ML engineering, or related roles.Strong hands-on experience building, tuning, validating, and deploying ML models.Experience mentoring data scientists, ML engineers, data engineers, or analytics teams.Strong knowledge of supervised learning, unsupervised learning, classification, regression, forecasting, NLP, and model evaluation techniques.Experience with Python and common ML/data science libraries such as pandas, NumPy, scikit-learn, XGBoost, TensorFlow, PyTorch, or similar.Practical experience with MLOps concepts such as model registry, experiment tracking, CI/CD, deployment pipelines, monitoring, drift detection, and retraining.Experience working with enterprise data platforms, cloud platforms, and modern data engineering practices.Strong understanding of data quality, feature engineering, model validation, and production support.Ability to translate business problems into AI/ML solution designs.Strong communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.Technical SkillsProgramming: Python, SQLMachine Learning: scikit-learn, XGBoost, TensorFlow, PyTorch, statistical modeling, forecasting, NLPMLOps: MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub ActionsData Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platformsAI/GenAI: LLMs, prompt engineering, RAG, semantic search, text-to-SQL, document intelligenceGovernance: model documentation, lineage, metadata, data quality, responsible AI, privacy and security controlsDesired Skills: Experience in healthcare, dental insurance, health insurance, financial services, or another regulated industry.Experience with platforms such as Azure ML, Dataiku, Databricks, Snowflake, MLflow, GitHub, GitHub Actions, Power BI, or similar tools.Experience with GenAI and LLM-based solutions.Experience designing AI solutions using enterprise data platforms such as Snowflake or cloud-based data ecosystems.Experience with responsible AI, model governance, bias detection, explainability, and audit requirements.Experience supporting AI governance councils, architecture reviews, or model risk review processes.Experience with healthcare data domains such as members, providers, claims, benefits, eligibility, call center, clinical, dental, or operational data.ThanksMounika RaviSr. Technical RecruiterCell | (408) 333-9240Email: mounikar@flextoninc.com