Innovative AI Strategist

15 hours ago


Salem, Tamil Nadu, India beBeeArtificial Full time ₹ 2,01,60,000 - ₹ 2,51,02,000

AI/ML Solutions Architect

We seek an experienced AI/ML expert to craft and implement cutting-edge solutions in Generative AI and Large Language Models.

This role involves leading the development of intelligent agents, optimizing prompts, and scaling AI pipelines while mentoring team members and driving innovation in applied AI.

Key Responsibilities:

  • AI/ML Development:
    • Design production-ready AI/ML solutions using LLMs and Generative AI models.
    • Fine-tune and optimize foundation models for domain-specific use cases.
    • Architect and deploy Retrieval-Augmented Generation pipelines and multi-agent systems.
  • Agentic AI & Prompt Engineering:
    • Build intelligent AI agents using frameworks like LangChain, CrewAI, AutoGen.
    • Engineer effective prompts for complex language tasks and continuous learning environments.
    • Orchestrate autonomous decision-making pipelines using agent-based design.
  • Model Lifecycle & MLOps:
    • Implement best practices for responsible AI, model explainability, and fairness.
    • Own model deployment, monitoring, optimization, and cost control.
    • Work with MLOps tools for automation and CI/CD in model delivery pipelines.
  • Data Engineering & Preparation:
    • Handle advanced data preprocessing, feature engineering, and quality checks.
    • Leverage tools like Pandas, Numpy, Polars for exploration and transformation.
    • Integrate with vector databases such as Pinecone, ChromaDB, Weaviate for semantic search applications.

What You'll Bring:

  • 4-8 years of experience as an AI/ML Engineer or Data Scientist with a proven track record in delivering ML solutions to production.
  • Expertise in:
    • ML/DL frameworks: TensorFlow, PyTorch, Keras, Sklearn
    • LLM ecosystems: LangChain, LlamaIndex, CrewAI
    • Foundation models, RAG pipelines, and agentic AI systems
  • Strong programming in Python (R is a plus)
  • Deep knowledge of:
    • ML/DL algorithms and probabilistic modeling
    • Statistics, feature engineering, and data wrangling
    • AI governance and ethical development practices
  • Hands-on experience in:
    • Prompt engineering and LLM fine-tuning
    • Vector databases and memory integration
    • Model performance tuning, compression, and deployment (ONNX, TorchScript, quantization)

Tanla is an equal opportunity employer. We champion diversity and are committed to creating an inclusive workplace for all.



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