Talent.com
AI / ML Engineer

AI / ML Engineer

ConfidentialCoimbatore, India
4 days ago
Job description

Key Responsibilities

  • Design, develop, and deploy AI / ML models with a strong focus on Generative AI (LLMs, diffusion models, multimodal AI).
  • Build, fine-tune, and evaluate large language models for domain-specific applications.
  • Develop agentic AI systems (autonomous / assistive agents) capable of reasoning, planning, and tool use.
  • Integrate AI / ML models into production systems, APIs, and applications.
  • Conduct experiments, benchmark models, and optimize for scalability, efficiency, and cost.
  • Write clean, modular, and well-documented code for ML pipelines and AI services.
  • Implement best practices for model monitoring, observability, and troubleshooting in production.
  • Contribute to research exploration, technical discussions, and knowledge sharing within the AI / ML team.

What We're Looking For

  • 1–2 years of experience as an AI / ML Engineer.
  • Strong hands-on expertise with Python and popular ML / AI frameworks ( PyTorch, TensorFlow, Hugging Face ).
  • Solid understanding of Generative AI concepts (LLMs, embeddings, prompt engineering, RAG).
  • Familiarity with agentic AI frameworks (LangChain, LlamaIndex, Haystack, AutoGen, etc.).
  • Experience in building, fine-tuning, or deploying transformer-based models .
  • Knowledge of vector databases (Pinecone, Weaviate, FAISS, Milvus).
  • Understanding of cloud platforms (AWS, GCP, Azure) and containerization ( Docker, Kubernetes ).
  • Strong foundation in data structures, algorithms, and ML fundamentals .
  • Excellent problem-solving, debugging, and communication skills .
  • Nice to Have

  • Experience with reinforcement learning, multi-agent systems, or AI reasoning frameworks .
  • Knowledge of MLOps tools (MLflow, Weights & Biases, Kubeflow).
  • Exposure to multimodal AI (text, image, audio, video).
  • Familiarity with API development (Flask, FastAPI) for serving AI models.
  • Contributions to open-source AI projects or published research .
  • Skills Required

    Algorithms, Tensorflow, Pytorch, Docker, Flask, Data Structures, Python, Aws, Gcp, FastAPI, Azure, Kubernetes

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