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AI / ML Engineer (3 to 5 Years)
DXFactorIndia, India4 days ago
Job descriptionDesign, 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. 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 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
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 : SG Highway, Ahmedabad (Work from Office)
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 :
Required Skills & Qualifications :
Tools & Technologies :
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