AI/ML Engineer

2 weeks ago

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: 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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