Ai Ml Engineer

About You:

• Must have strong and proven experience in Machine learning and Deep learning techniques and use of popular AI/ML frameworks
• Must have good experience on various AI techniques: Machine learning, Generative AI and Agentic AI
• Experience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environments
• Solid experience and understanding of ML techniques such as: Data Preprocessing, Feature Engineering, Model selection, Hyperparameter Tuning, Validation, and Deployment
• Develop multi AI agents and RAG systems for real-time decision-making, integrating tools like LangChain, LlamaIndex, or custom frameworks.
• Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Must be able to implement AI applications by using and fine-tuning Large Language Models (LLMs)
• Experience with production support, technical analysis and problem solving
• Hands on experience on Large Language Models (LLMs), text generation, or similar Generative AI applications
• Must have good communication and presentation skills
• Good to have: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Good to have: Experience working with Cloud platforms (e.g. GCP, AWS, Azure) for model deployment, AI services and operation
• Good to have: Working experience on a Python web framework (e.g. Flask/Django) would be a plus
• Optional: Work on AI/ML services on Cloud infrastructure and various cloud managed services

About the role

• Ensure the activities by holding the commitments in terms of quality, costs and deadlines.
• Having strong expertise on AI / Machine learning, Generative AI and Agentic AI
• Collaborate with Data & AI experts, Software Engineers and Business stakeholders to translate business requirements into solutions related to AI/ML, Generative AI and Agentic AI
• Research / Analysis, Exploration, Solution development, and Problem solving
• Solid experience of Training, evaluating, and fine-tuning models for optimal performance.
• Ownership of delivering AI/ML models with high precision outcomes
• Experience with building, deploying, and enhancing large-scale machine learning models and algorithms within real-world product environments
• Good knowledge of math, probability, and statistics, and algorithms; Ability to write robust code in Popular AI Programming languages
• Ability to rapidly prototype and experiment with different models and algorithms
• Good understanding of the business context and the ability to translate business problems into AI/ML solutions
• Excellent communication and interpersonal skills
• Passionate for continuous learning and staying up-to-date with the latest trends and best practices in AI, Gen AI etc.