AI/ML Engineer

4 weeks ago

Ahmedabad, India DXFactor Full time

DXFactor is looking for AI/ML Engineer (1 to 3 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:

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:

  • 2+ 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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