Senior Machine Learning Engineer
2 weeks ago
Role: Sr/Lead ML Engineer
Budget: Open to Discuss
WFO - 5 days HSR B'lore
Must have: AI/ML, LLM, rag, Speech Recognition, Team Leading, Text-to speech, NLP, Python
YOE: 8+
As a lead or Sr ML Engineer, you will play a pivotal role in leading and mentoring a team of talented ML engineers and researchers. You will materilize the technical vision for our core AI components, oversee the execution of our ambitious Voice AI roadmap, and ensure the delivery of high-impact machine learning solutions. This role requires a blend of deep technical expertise, strong leadership capabilities, and a passion for innovation in the AI space.
Note: Looking for folks from Tier 1 colleges only
Only product people
Key Responsibilities
Lead ML initiatives in speech (ASR/TTS, V2V with models like Mamba/Hamba), agentic RAG, and LLM orchestration.
Guide the full ML project lifecycle: research, development, deployment (with MLOps), and iteration.
Make architectural decisions ensuring scalability, reliability, and real-time performance.
Collaborate with product, engineering, and stakeholders on requirements and priorities.
Stay updated on AI/ML advancements in speech, NLP, and LLMs, and drive adoption where relevant.
Design and execute R&D for next-gen voice AI (V2V, multilingual support).
Build, mentor, and grow a high-performing ML team.
Qualifications
Bachelor's in Computer Science or related field.
6+ years of ML experience, including leadership/senior technical roles.
Proven success in delivering ML projects to production.
Expertise in one or more: ASR, TTS, NLP, Dialogue Systems, LLMs, RAG.
Proficiency in Python and ML frameworks (PyTorch, TensorFlow, JAX).
Strong knowledge of ML system design, evaluation, and MLOps.
Experience mentoring/managing technical teams.
Excellent problem-solving, analytical, and communication skills.
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