Lead the design development and scale of our AI Worker platform a multimodal agentic system handling voice vision and language in real time while mentoring junior engineers and collaborating across teams Company details GoCommotion builds AI Workers for the future of customer experience CX We create intelligent agents that engage across channels listen to asynchronous events and continuously improve Website https www gocommotion com Requirements Bachelor s or Master s in Computer Science AI ML or related field Expert in Python robust grasp of data structures algorithms OS networking fundamentals Competitive coding problem-solving track record is a plus 3 years experience in production ML systems Deep knowledge of LLMs architecture fine tuning LoRA PEFT instruction tuning Experience in multimodal ML text vision voice Hands on with Voice AI ASR TTS speech embeddings latency optimization Experience building RAG pipelines embed models vector DBs hybrid retrieval Strong foundation in reinforcement learning RLHF policy optimization continual learning Proficient with PyTorch TensorFlow scikit learn Familiarity with vLLM HuggingFace Agno LangFlow CrewAI LoRA frameworks Experience with vector stores Pinecone Weaviate FAISS QDrant and orchestration Experience in distributed training large scale pipelines inference latency optimization Experience deploying ML in cloud AWS GCP Azure containers Kubernetes CI CD Ownership mindset ability to mentor high resilience thrive in startup environment Currently employed at a product-based organisation Responsibilities Build AI systems powering AI Workers agentic persistent multimodal across voice text image Lead full ML lifecycle data pipelines architecture training deployment monitoring Design speech to speech models without text intermediary for low latency voice interaction Drive LLM fine tuning and adaptation strategies LoRA PEFT instruction tuning Architect and optimize RAG pipelines for live grounding of LLMs Advance multimodal systems integrating language vision and speech Apply reinforcement learning online offline for continuous improvement Collaborate with infra and systems engineers for GPU clusters cloud edge integration Translate research ideas into production innovations Mentor junior ML engineers define best practices shape technical roadmap Job Details Location Hybrid Mumbai Bengaluru Chennai India Interview process Screening HR round Technical round s coding system design ML case studies ML research deep dive Final leadership round Important Note ClanX is a recruitment partner helping GoCommotion hire the Senior Machine Learning Engineer

📌 Senior Machine Learning Engineer - Hybrid (Tamil Nadu)
🏢 ClanX
📍 Tamil Nadu