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