Senior Technical Associate/Lead - Generative AI

Job title : Sr. Technical Associate/Lead - Gen AI

Exp : 5 -12 years

Location : Hyderabad

Key Responsibilities :

Experience :

- Minimum 2 years of experience in Data Science with at least 1 Year in Gen AI

- Minimum of 2+ years of focused experience in NLP, Especially Generative AI and Large Language Models is must, demonstrating a deep understanding of their applications and limitations.

Technical Proficiency :

- Proficiency in Generative AI, Traditional AI

- Proficient knowledge with Lang chain, Agentic or similar frameworks.

- Experience in developing POC's and have an understanding of materializing those POC's to

production

- Knowledge of embedding the usage of ChatGPT or Copilot or Gemini for regular process.

- Proficiency in Python, Keras/TensorFlow/PyTorch with strong coding skills

- Experience in developing & deploying Machine Learning, Deep Learning and Time Series

Projects.

- Hands-on experience with Flask/FastAPI and familiarity with MLOps practices.

- Good experience with computer vision, image processing and pattern recognition projects

- Proficient in version control management, particularly with Git.

- Strong analytical and problem-solving skills.

Technical Proficiency(Optional) :

- Good to have software development experience.

- Good to be strong in Cloud AWS(Bedrock)/Azure(Azure AI)

- Familiarity with advanced software development skills such as pattern design, testing, cross-

platform software, and source control

Process / Domain Knowledge Mandatory :

- Experience in Generative AI based application development is must

- Should be ready to come office at least 3 days a week

Key Roles & Responsibilities :

Generative AI & NLP :

- Design, develop, and implement Generative AI-based applications, with strong focus on NLP and Large Language Models (LLMs).

- Develop LLM-powered use cases such as chatbots, copilots, summarization, content generation, and intelligent assistants.

Model Development & Deployment :

- Develop, train, fine-tune, and evaluate Machine Learning, Deep Learning, Time Series, and Generative AI models.