Artificial Intelligence Engineering Lead

3 days ago

Bhavnagar, Gujarat, India beBeeMachine Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
">

Sarvam AI is building the next-generation media engine to automate movie and OTT content creation & localization across India's diverse languages.

">Job Description

As a Senior Machine Learning Engineer, you will oversee the orchestration of our end-to-end AI pipeline in Media, combining cutting-edge models, agile workflows, and media-grade quality automation.

">Key Responsibilities
  • Design and evolve the Media AI pipeline by integrating agent-based orchestration, scalable ML integration, and rapid experimentation.
  • Build and lead production-grade ML pipelines, ensuring robustness, automation, and adaptability to media workflows.
  • Prototype and deploy agentic systems for task sequencing, error handling, and quality evaluation.
  • Drive continual improvements through prompt engineering, RAG, fine-tuning, and metric-driven performance monitoring.
  • Establish pipeline-wide standards for quality, testing, fallback mechanisms, and edge-case handling.
  • Collaborate with model researchers, infra/platform teams, and product stakeholders to ensure end-to-end reliability.
  • Provide technical leadership and mentorship across the orchestration and pipeline engineering team.
">Required Skills and Qualifications
  • 4-7 years of experience in ML/AI engineering
  • Hands-on expertise in Generative AI: LLMs, prompt design, and building complex agentic systems.
  • Strong proficiency in Python, PyTorch/TensorFlow, MCP, and agent orchestration frameworks.
  • Proven track record of deploying ML pipelines in production at scale with monitoring and alerts.
  • Familiarity with ASR/TTS/translation models such as Whisper, wav2vec, Coqui TTS, FastSpeech, etc.
  • Experience with cloud platforms, containerised deployments, and scalable inference is a plus.
">Leadership and Soft Skills
  • Entrepreneurial spirit with hands-on experience in startup phases.
  • Ability to lead and mentor ML teams, balancing research rigour with production needs.
  • Strong systems thinking and cross-functional coordination.
  • Passion for keeping pace with the latest in Gen AI, LLMs, and ML engineering.
">

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