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AI/ML Engineer (3 to 5 Years)
AI/ML Engineer (3 to 5 Years)DXFactor • Vellore, IN
AI / ML Engineer (3 to 5 Years)

AI / ML Engineer (3 to 5 Years)

DXFactor • Vellore, IN
4 days ago
Job description

DXFactor is looking for AI / ML Engineer (3 to 6 Yrs)

DXFactor is a US-based tech company working with fortune 500 customers across the globe.

We have our presence in :

  • US
  • India (Ahmedabad, Bangalore)

Web-site : www.DXFactor.com

Location : SG Highway, Ahmedabad (Work from Office)

Employment Type : Full Time

Job Summary :

We are seeking an experienced  AI / ML Engineer  with a solid foundation in Machine learning, Artificial Intelligence and at least  one year of hands-on experience in Generative AI . The ideal candidate will have strong proficiency in  Python ,  LLM Models , and emerging techniques such as  Retrieval-Augmented Generation (RAG) ,  model fine-tuning , and  agentic AI systems . You will be responsible for building innovative solutions leveraging the latest in AI technology to solve real-world problems.

Key Responsibilities :

  • Design, develop, and deploy AI / ML solutions with an emphasis on  generative models and LLMs .
  • Implement and optimize  RAG pipelines  for knowledge-aware AI systems.
  • Fine-tune and customize models (e.g., LLaMA, Mistral, GPT, etc.) for specific domains or applications.
  • Build and manage  agentic AI systems  capable of autonomous planning and decision-making.
  • Work closely with cross-functional teams to identify use cases and deliver scalable AI-powered features.
  • Stay up-to-date with the latest developments in AI / ML and contribute to internal knowledge sharing.
  • Required Skills & Qualifications :

  • 3+ years of experience in AI / ML development.
  • Minimum 1 year of hands-on experience in  Generative AI  projects.
  • Proficient in  Python  and common ML libraries (e.g., PyTorch, scikit-learn).
  • Strong understanding of  Large Language Models (LLMs)  and transformer architectures.
  • Experience building  RAG pipelines  and integrating vector search systems.
  • Hands-on experience with  model fine-tuning  using LoRA, PEFT, or Hugging Face Transformers.
  • Experience developing  agentic AI systems  using frameworks like LangChain, AutoGen, or custom orchestration logic.
  • Experience on working with cloud platforms
  • Tools & Technologies :

  • Frameworks & Libraries : LangChain, LlamaIndex, AutoGen, PyTorch, TensorFlow
  • Model Providers :  OpenAI, Anthropic, Llama, Mistral
  • Vector Stores :  FAISS, Pinecone, Milvus
  • APIs & Services : REST, GraphQL
  • DevOps & Infra :  Docker, AWS / GCP / Azure
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