HexaCorp is seeking an experienced Machine Learning & AI Platform Lead to spearhead AI initiatives, manage end-to-end deployments, and drive technical strategy. This dual-capacity role involves guiding teams in model operationalization (MLOps) while owning the Token Platform and AI Gateway. The ideal candidate combines deep ML engineering expertise with leadership skills to align AI adoption with business goals.
Key Responsibilities
- Ensure AI/ML solutions align with business objectives, performance metrics, and compliance requirements
- Collaborate with cross-functional teams on data strategy, governance, and AI roadmap
- Manage and lead the Token Platform and AI Gateway
- Mentor engineering teams in MLOps, model versioning, and retraining pipelines
- Evaluate and select ML algorithms, frameworks, and cloud platforms
- Build and optimize batch jobs for heavy data processing and training
- Oversee Generative AI evaluations and implement content filters
- Conduct code reviews to maintain quality and performance standards
- Own and manage end-to-end ML and platform deployments
Technical Requirements
- Languages & Frameworks: Python, modern ML libraries, cloud-native development
- Cloud Platforms: Expertise in Azure (ML Studio, AI Foundry, Functions App, Cosmos DB, DevOps, Key Vault) or equivalent AWS/GCP experience
- Data & AI Platforms: Hands-on with Snowflake AI services (Cortex AI, Snowpark Container Services)
- Scale & Performance: Proven track record in large-scale model deployment, infrastructure management, and performance tuning
Qualifications & Experience
- 10+ years of hands-on experience in Machine Learning Engineering and MLOps
- Robust background in platform engineering or operations preferred
📌 Machine Learning & AI Platform Lead (Chennai)
🏢 Hexacorp Technical Services
📍 Chennai
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