Description

You will lead the design and implementation of AI and ML architectures for large-scale enterprise applications.

Responsibilities

• Design AI architecture and select technologies from open-source and commercial offerings.
• Lead and mentor a team of data scientists to drive collaboration and continuous learning.
• Align technical implementations with stakeholder requirements and future business needs.
• Develop best practices for the ML lifecycle, including feature engineering, model management, MLOps, and monitoring.
• Manage ML and deep learning workflows across data management, governance, and production deployment.

Required Skills

• 15+ years of experience in solutions architecture or equivalent technical roles.
• Expertise in AI/ML domains, including multimodal ML, model evaluation, and fine-tuning.
• Deep understanding of MLOps and MLSecOps.
• Proficiency in Python and R for advanced analytics.
• Hands-on experience with Deep Learning frameworks like TensorFlow.
• Strong knowledge of ML techniques including neural networks, random forest, and support vector machines.
• Experience with ML training, inference, and data engineering.
• Practical knowledge of Data Warehouse, Data Lake, and Reporting systems.
• Proven ability in estimation and proposal creation.

Preferred Skills

• Experience in Life Science, Manufacturing, BFSI, or Energy and Utilities verticals.

Key Skills

Education

Any Gradute