Senior AI Engineer

About the role

Collaborate with architects, data engineers, AI engineers, product and business teams to translate business requirements into fully operational AI solutions. Analyzing large volumes data and establishing AI/ML/NLP and Generative AI based automation workflows to enable cross functional business teams with real-time actionable intelligence.

What you'll do

• Collaborate with architects, data engineers, AI engineers, product and business teams to translate business requirements into fully operational AI solutions
• Analyzing large volumes data and establishing AI/ML/NLP and Generative AI based automation workflows to enable cross functional business teams with real-time actionable…
• Building modular, reliable, scalable python-based pipelines on Databricks and Azure with attention to security, cost, and data sensitivity
• Drive all phases of software development including design, prototyping, and incremental production release adhering to industry best DevOps, MLOps , LLMOps practices
• Designing and implementing highly reliable , fault-tolerant distributed ML applications with focus on ML Operations and CI/CD

What you need

• 4–6 yrs of experience
• Machine learning
• Python
• Scikit-learn
• NLP
• LLMs
• PyTorch
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• TensorFlow
• Databricks
• Deep learning
• ETL
• AWS
• Azure