Expert 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::Expert AI/ML Engineer Location: Oakland, CA or Alpharetta, GA Required 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 Skills • Programming: Python, SQL • Machine Learning: scikit-learn, XGBoost, TensorFlow, PyTorch, statistical modeling, forecasting, NLP • MLOps: MLflow, Azure ML, Dataiku, model registry, CI/CD, GitHub Actions • Data Platforms: Snowflake, Azure SQL, Oracle, data lakes, cloud data platforms • AI/GenAI: LLMs, prompt engineering, RAG, semantic search, text-to-SQL, document intelligence • Governance: model documentation, lineage, metadata, data quality, responsible AI, privacy and security controls Desired 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. Thanks Mounika Ravi Sr. Technical Recruiter Cell | (408) 333-9240 Email: mounikar@flextoninc.com