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Senior Machine Learning Engineer - Hybrid

Senior Machine Learning Engineer - Hybrid

ClanX

3 years

40 - 50 Lacs

bengaluru

Posted:5 days ago| Platform: GlassDoor logo

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Skills Required

learning design development ai vision mentoring ml python data algorithms networking coding architecture latency reinforcement optimization pytorch tensorflow training inference aws gcp azure kubernetes deployment drive strategies research leadership recruitment

Work Mode

On-site

Job Type

Part Time

Job Description

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; 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
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.

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Senior Machine Learning Engineer - Hybrid