Responsibilities:

• Design and implement end-to-end AI/ML solutions from data ingestion to deployment
• Build and optimize machine learning and deep learning models for real-world applications
• Architect scalable and secure AI systems using cloud platforms
• Work on Generative AI use cases including LLMs, prompt engineering, and fine-tuning
• Collaborate with cross-functional teams to translate business requirements into AI solutions
• Develop and manage data pipelines and model lifecycle (MLOps)
• Ensure model performance, scalability, reliability, and monitoring in production
• Stay updated with emerging AI trends and evaluate new tools/technologies
• Mentor junior engineers and guide best practices in AI development

Nice to have:

• Certifications in AI/ML or cloud platforms
• Experience working on production-grade AI systems
• Contributions to open-source AI projects
• Azure Foundry
• Databricks Agent bricks

More skills:

Machine Learning, Deep Learning, NLP, Data engineering, APIs, Microservices, Docker, Kubernetes

Other:

• Contract to hire
• Duration: 3 - 6 months
• Pay: ₹2,500,000.00 - ₹2,800,000.00 per year
• Work Location: In person