DXFactor - Artificial Intelligence/Machine Learning Engineer - Python

4 weeks ago

Ahmedabad, India DXF 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 : - 2+ 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 platformsTools & 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 (ref:hirist.tech)

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