Cutting-Edge AI Expert Wanted

2 days ago

Thiruvananthapuram, Kerala, India beBeeInnovation Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
AI Innovation Leader

Are you an innovative and experienced AI professional looking for a new challenge? Do you have the skills to design, develop, and optimize cutting-edge AI systems that drive business growth?

We are seeking a Senior Machine Learning Engineer to lead our AI development efforts and bring your expertise in building scalable ML infrastructure, deploying models in production, and staying at the forefront of AI innovation.

Key Responsibilities:
  • AI System Development:
    • Design, develop, and optimize end-to-end ML models using LLMs, transformer architectures, and custom RAG frameworks.
    • Fine-tune and evaluate generative and NLP models for business-specific applications such as conversational flows, auto-replies, and intelligent routing.
    • Lead prompt engineering and build autonomous AI agents capable of executing multi-step reasoning.
  • Infrastructure, Deployment & MLOps:
    • Architect and automate scalable training, validation, and deployment pipelines using tools like MLflow, SageMaker, or Vertex AI.
    • Integrate ML models with APIs, databases, and production services ensuring performance, reliability, and traceability.
    • Monitor model performance in real-time, and implement A/B testing, drift detection, and re-training pipelines.
  • Data & Feature Engineering:
    • Work with structured, unstructured, and semi-structured data (text, embeddings, chat history).
    • Build and manage vector databases and graph-based retrieval systems.
    • Ensure high-quality data ingestion, feature pipelines, and scalable pre-processing workflows.
  • Team Collaboration & Technical Leadership:
    • Collaborate with product managers, software engineers, and stakeholders to align AI roadmaps with product goals.
    • Mentor junior engineers and establish best practices in experimentation, reproducibility, and deployment.
    • Stay updated on the latest in AI/ML and drive innovation in applied use cases.

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