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Ai / Ml Engineer (3 To 5 Years)

Ai / Ml Engineer (3 To 5 Years)

DXFactorBharatpur, Republic Of India, IN
15 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 : Remote & Ahmedabad

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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