AI/ML Engineer (3 to 5 Years)

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:USIndia (Ahmedabad, Bangalore)Web-site: Location: SG Highway, Ahmedabad (Work from Office)Employment Type: Full TimeJob 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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