AI/ML Engineer (2 to 4 Years)

DXFactor is looking for AI/ML Engineer (2 to 4 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:

• 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 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