Nexwave

Machine Learning / AI Engineer (Lead) with MLOps

Nexwave

San Francisco•On-site•7-10 Yrs•6 days ago

Role : Machine Learning / AI Engineer (Lead)

Define and implement enterprise best practices for Machine Learning, Generative AI, and MLOps.
Partner with business, product, data engineering, and analytics teams to identify and prioritize AI/ML use cases.
Guide citizen data scientists and analysts in developing production-ready ML solutions.
Design, build, and operationalize ML models and AI solutions using Snowflake and Azure ML.
Establish model governance, monitoring, versioning, explainability, and model lifecycle management processes.
Collaborate with Data Engineering teams to build scalable feature engineering and data pipelines.
Evaluate and recommend AI/ML tools, frameworks, and architectural patterns.
Support deployment and operationalization of predictive analytics, NLP, GenAI, and intelligent automation use cases.
Ensure compliance with security, privacy, and regulatory requirements in a healthcare/insurance environment.

7+ years of experience in Data Science, Machine Learning, or AI Engineering.
Strong hands-on experience with Azure Machine Learning and MLOps.
Proficiency in Python and ML frameworks such as Scikit-learn, TensorFlow, PyTorch, or XGBoost.
Strong understanding of feature engineering, model governance, and model lifecycle management.
Excellent communication and stakeholder management skills.
Familiarity with Azure OpenAI, Snowflake Cortex, and enterprise AI platforms.

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