Senior Machine Learning Engineer - Hybrid

3 - 8 years

6 - 9 Lacs

Posted:5 days ago| Platform: Naukri logo

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Full Time

Job Description


Bachelor s or Master s in Computer Science, AI/ML, or related field Expert in Python; strong 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

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