AI/ML Developer

5 days ago


Mylapore, Tamil Nadu, India BDart Technologies Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Are you passionate about building the next generation of
AI-powered applications
?

Do you love experimenting with
LLMs, GenAI models, and cutting-edge cloud tech
?

AI/ML Developer – Generative AI | GCP | Full-Time

Location:
Chennai

Experience:
5–8 years

Employment Type:
Full-Time

Domain:
Artificial Intelligence / Machine Learning / Generative AI

About the Role

We are seeking a skilled
AI/ML Developer
with hands-on experience in
Generative AI
and
Google Cloud Platform (GCP)
. The ideal candidate will design, build, and deploy advanced AI/ML models and GenAI solutions that drive innovation and intelligence across business applications.

Key Responsibilities

  • Design, develop, and deploy
    machine learning and deep learning models
    on
    GCP (Vertex AI, AI Platform, BigQuery ML)
  • Develop and fine-tune
    Generative AI models
    using
    LLMs (GPT, Gemini, LLaMA, etc.)
  • Build and optimize
    RAG (Retrieval-Augmented Generation)
    or
    LLM-powered applications
    using frameworks like
    LangChain, LlamaIndex, or Hugging Face
  • Collaborate with data engineers to build scalable data pipelines and ensure data quality
  • Integrate AI solutions into production systems using APIs and containerized microservices (Docker, Kubernetes)
  • Work with cross-functional teams to define use cases, model requirements, and deliver business value through AI
  • Implement
    MLOps
    practices for versioning, monitoring, and CI/CD of ML models

Required Skills & Experience

  • 3–8 years of hands-on experience in
    Machine Learning / AI development
  • Strong programming skills in
    Python
    (NumPy, Pandas, TensorFlow, PyTorch, scikit-learn)
  • Proven experience with
    Generative AI
    ,
    LLM fine-tuning
    , and
    prompt engineering
  • Solid experience with
    Google Cloud Platform (Vertex AI, BigQuery, Dataflow, Cloud Storage)
  • Experience deploying models in production and building scalable ML pipelines
  • Understanding of
    APIs, MLOps, and containerization (Docker, Kubernetes)

Nice to Have

  • Experience with
    LangChain
    ,
    LlamaIndex
    ,
    Weaviate
    , or
    Pinecone
  • Exposure to
    LLMOps
    and
    model monitoring frameworks
  • Familiarity with
    ethical AI
    , data privacy, and governance best practices

Interested? Connect with me directly on

or mail your resume to
**



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