Role Overview:

As an AI ML Engineer, you will be at the forefront of building scalable, intelligent systems that transform complex data into actionable business insights.

You will collaborate closely with cross-functional product teams, data scientists, and senior stakeholders to design and deploy end-to-end machine learning pipelines.

Your work will directly influence product innovation by integrating cutting-edge Generative AI and Large Language Model (LLM) capabilities, ultimately enhancing user experiences and driving significant operational efficiency across our global platforms.

This role offers the opportunity to shape the technical roadmap in a high-impact environment across our Hyderabad, Pune, and Chennai offices.

Key Responsibilities :

- Architect and deploy robust machine learning models using Python to solve complex business challenges and improve predictive accuracy for our clients.

- Engineer advanced RAG (Retrieval-Augmented Generation) frameworks to enable context-aware LLM interactions, ensuring high-quality and relevant outputs for end-users.

- Lead the end-to-end lifecycle of AI solutions, from data preprocessing and model training in TensorFlow or PyTorch to production-grade deployment on AWS infrastructure.

- Partner with internal stakeholders to translate ambiguous business requirements into technical specifications, ensuring that AI initiatives align with long-term strategic goals.

- Optimize model performance and scalability by implementing best practices in MLOps, ensuring reliable and efficient service delivery for high-traffic applications.

Required Skillset :

- Demonstrated expertise in developing and deploying production-ready machine learning models using Python, with a deep understanding of deep learning frameworks like TensorFlow and PyTorch.

- Proven ability to design and implement Generative AI and LLM-based solutions, specifically leveraging RAG architectures to enhance information retrieval and model reasoning.

- Strong proficiency in cloud-native AI development on AWS, including managing data pipelines, model hosting, and infrastructure scaling.

- Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders and influence cross-functional decision-making.

- A minimum of 5 to 14 years of professional experience in AI/ML engineering, backed by a strong academic foundation in Computer Science, Mathematics, or a related quantitative field.

- High adaptability to a collaborative, hybrid work environment, demonstrating the ability to work effectively both independently and within distributed teams across Hyderabad, Pune, and Chennai.