Role Overview :

As a Lead AI/ML Engineer based in Bangalore, you will spearhead the design and implementation of sophisticated machine learning systems that drive our core product innovation. You will operate at the intersection of research and engineering, collaborating closely with data scientists, product managers, and cross-functional engineering teams to translate complex business problems into scalable AI solutions.

Your work will directly influence the end-user experience by integrating cutting-edge Generative AI capabilities and robust ML infrastructure, ensuring our platform remains at the forefront of technological advancement in a highly competitive market.

Key Responsibilities :

- Architect and deploy high-performance AI models that optimize system efficiency and enhance predictive accuracy for our global client base.

- Lead the development of scalable ML infrastructure to streamline the end-to-end model lifecycle, from data ingestion to production monitoring.

- Integrate Generative AI frameworks into existing product suites to automate workflows and provide personalized user experiences.

- Mentor junior engineers and foster a culture of technical excellence through rigorous code reviews and architectural design sessions.

- Partner with stakeholders to define technical roadmaps, ensuring that AI initiatives align with long-term business objectives and scalability requirements.

Required Skillset :

- Demonstrated expertise in building and deploying production-grade models using Tensorflow and PyTorch, with a deep understanding of AI architecture patterns.

- Proven ability to design and maintain robust ML pipelines, ensuring high availability and low latency in distributed computing environments.

- Strong proficiency in articulating complex technical concepts to non-technical stakeholders, facilitating seamless collaboration across departments.

- Exceptional problem-solving skills with a track record of navigating ambiguous requirements to deliver impactful, data-driven solutions.

- A degree in Computer Science, Mathematics, or a related quantitative field, combined with the ability to thrive in a fast-paced, hybrid work environment in Bangalore.

- 4 to 7 years of hands-on experience in developing and scaling machine learning systems within high-growth technology organizations.