Ai/ml engineer

10 hours ago

Kakinada, India DXFactor Full time

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., LLa MA, 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., Py Torch, 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 Lo RA, PEFT, or Hugging Face Transformers.  Experience developing agentic AI systems  using frameworks like Lang Chain, Auto Gen, or custom orchestration logic.  Experience on working with cloud platforms    Tools & Technologies:   Frameworks & Libraries: Lang Chain, Llama Index, Auto Gen, Py Torch, Tensor Flow  Model Providers:  Open AI, Anthropic, Llama, Mistral  Vector Stores:  FAISS, Pinecone, Milvus  APIs & Services: REST, Graph QL  Dev Ops & Infra:  Docker, AWS/GCP/Azure   

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