Generative ai engineer

Role - Generative AI Engineer

Experience - 10 to 18 years

Work Location - Remote

Required Notice Period - Immediate Joiners or Serving Notice or 30 days

Must Have

Bachelor’s in CS / ML / AI or related field; Master’s or Ph D preferred.

5+ years of experience in ML / Data Science with a focus on generative AI, LLMs, or computer vision.

Expertise in large-scale Transformer-based models (GPT, VLMs).

Experience working with multimodal datasets (text, images, 3 D).

Strong proficiency in Python and libraries like Py Torch, Tensor Flow, Num Py, and pandas.

Solid foundation in probability, statistics, and optimisation.

Hands-on experience deploying ML models using cloud microservices (AWS).

Strong software engineering background — OOP, testing, version control, CI / CD, and Ia C (Terraform).

Excellent communication and stakeholder management skills.

Responsibilities

Technical Leadership : Define the AI vision and technical direction; establish best practices for the Generative AI team.

Strategy & Roadmap : Shape and execute the AI strategy, identifying high-impact use cases.

Model Development : Design, build, and deploy advanced generative and large language models (LLMs) for multimodal document and data processing.

Multimodal Innovation : Integrate text, image, and 3 D data for intelligent, automated solutions.

Scalable Engineering : Build and maintain large-scale data pipelines and model training workflows.

Cloud Deployment : Train, optimize, and deploy AI models using AWS and modern MLOps practices.

Collaboration : Partner with engineering, product, and business teams to embed AI into real-world products and workflows.

Mentorship : Guide and upskill team members on ML architecture and best practices.

Research : Stay current with the latest generative AI, deep learning, and multimodal model research.

To apply, connect with Abhishek via or Whats App on