Principal, Machine Learning Engineer (L5) in भारत

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Principal, Machine Learning Engineer (L5) based in India. We are seeking a highly experienced Principal Machine Learning Engineer to build the next generation of AI-powered customer engagement solutions. In this role, you will develop foundational machine learning capabilities that enable applications, AI agents, and communication channels to understand customer context, behavior, and preferences. You will lead the design and implementation of advanced AI/ML systems, bridging cutting-edge research with scalable, production-ready engineering. Working on complex challenges involving large language models (LLMs), retrieval strategies, and personalized experiences, you will transform innovative ideas into impactful solutions. You will operate in a fast-paced, remote-first environment that values experimentation, technical excellence, and rapid delivery. This is an opportunity to influence technical direction, mentor engineering talent, and shape intelligent customer experiences at global scale. Accountabilities - Lead AI/ML innovation: Design, develop, and deliver advanced machine learning capabilities for intelligent customer engagement, supporting new functionality within a rapidly evolving product environment. - Drive research and experimentation: Translate ambiguous business and technical challenges into structured research initiatives, design rigorous experiments, and validate hypotheses through rapid development cycles. - Advance LLM and contextual intelligence capabilities: Investigate and implement state-of-the-art LLM orchestration, embedding models, retrieval strategies, vector stores, and data-driven personalization techniques.

- Build production-grade ML systems: Architect, develop, and deploy scalable machine learning services capable of processing high-volume data and supporting streaming and real-time inference workloads. - Establish technical excellence: Define architectural standards, engineering best practices, and design principles that improve system reliability, maintainability, performance, and scalability. - Provide technical leadership and mentorship: Guide engineers through technical reviews, architectural decisions, knowledge sharing, and mentoring, raising the team's capabilities without requiring formal management authority. - Leverage modern AI development tools: Identify and integrate emerging AI frameworks and development platforms to accelerate implementation, reduce repetitive engineering work, and focus resources on high-value innovation. - Collaborate across teams: Work closely with cross-functional stakeholders to translate complex requirements into effective technical solutions and communicate research findings, trade-offs, and implementation strategies. - Continuously evolve technical expertise: Stay informed about advances in machine learning, generative AI, autonomous agents, and personalization, applying relevant developments to real-world product challenges. Requirements - Professional experience: At least 10 years of applied machine learning or artificial intelligence experience, with a proven track record of independently owning technically ambitious systems from conception through production deployment. - Technical leadership: Demonstrated ability to operate in ambiguous, early-stage product environments, take initiative, make informed decisions, and deliver results without waiting for fully defined requirements. - Programming expertise: Strong proficiency in Python and experience developing robust, maintainable software for complex machine learning applications. - Machine learning foundations: Deep understanding of statistical machine learning algorithms, transformer architectures, large language models, and modern AI techniques.