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AI / ML Engineer (3 to 5 Years)

DXFactorkochi, kerala, in

17 days ago

Job description

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 : Remote & Ahmedabad

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

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