Lead Data Specialist
Core
Design, develop, validate, and operationalize production-grade machine learning models to solve real business problems.
Role type
Senior IC machine learning engineer (production MLOps)
Builds
Scalable, reliable, explainable ML solutions deployed into production environments
Domain
Data Science, Machine Learning, Applied AI, Cloud Platforms
Deliverable
production ML models
Required skills
Python, SQL, MLOps, feature engineering, model evaluation, cloud platforms (Azure/GCP/AWS), ML frameworks (scikit-learn, XGBoost, TensorFlow, PyTorch), Git, CI/CD, model monitoring
Preferred skills
Retail/Ecommerce/Automotive industry experience, Agentic AI/LLM application development, MCP/A2A protocols, vector databases, backend development
Technologies
Azure, GCP, AWS, scikit-learn, XGBoost, LightGBM, TensorFlow, PyTorch, MLflow, LangChain, LangGraph, Semantic Kernel, LlamaIndex, AutoGen, CrewAI, Azure AI Search, Amazon OpenSearch, Pinecone, Weaviate, FAISS, Chroma, Milvus
Responsibilities
Develop, validate, and deploy machine learning models aligned with business objectives; Translate business problems into analytical and machine learning solutions; Apply MLOps practices for model versioning, monitoring, and retraining; Collaborate with engineering and business teams to move ML solutions to production; Perform feature engineering, model selection, hyperparameter tuning, and explainability analysis; Monitor production models for performance, data drift, and business impact.
Seniority
Senior, hands-on IC