AI/ML Engineer (3 to 6 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:

• US
• India (Ahmedabad, Bangalore)

Web-site: www.DXFactor.com

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: 

• 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