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AI/ML Engineer

4 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

DXFactor is looking for AI/ML Engineer (4 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:

AI/ML Engineer

 

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:

  • 4+ 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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