AI / ML Engineer (3 to 5 Years)

DXFactorPune, IN

1 day 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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