Genai Architect

You will work on products like conversational search interfaces, chatbots, text summarizers, recommender engines, and more based on the needs of the constituents. You will partner with Product Managers, Machine Learning Engineers, Cloud Platform Engineers, and cross-functional partners to develop production-grade algorithms

Duties and Responsibilities:

- Architect the overall framework and infrastructure for GenAI products like search interfaces, bots, summarizers, etc. Develop and implement techniques to optimize model performance to meet specific product goals
- Guide engineering teams to effectively leverage LLM capabilities in product implementations.
- Implement robust feedback pipelines, monitoring and corrections to ensure model safety
- Design and oversee curation of high-quality datasets tailored for LLM training for each product. Build data science pipelines from feature generation, data visualization and models evaluation; design the solution, build initial code and provide documentation with ways of working to maximize time to value and re-usability.
- Advanced degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.

Required Skills and Qualifications:

- Minimum of three years’ experience in developing machine learning models with a track record of creating meaningful business impact and working with multiple stakeholders.
- Minimum of five years’ experience with Python.
- Minimum of three years’ experience building production NLP and deep learning models using PyTorch/Tensorflow, along with using large language model architectures (BERT, GPT-3 etc.)
- Experience building advanced workflows such as retrieval augmented generation, model chaining, dynamic prompting, PEFT/SFT, etc. using Langchain and similar tools
- Proficiency with various prompting techniques, with a clear understanding of tradeoffs between prompting and finetuning
- Experience with finetuning embedding models and tuning vector databases to improve performance of semantic search and retrieval systems

Pay: ₹150,000.00 - ₹170,000.00 per year

Schedule:

- Day shift

Supplemental pay types:

- Yearly bonus

Work Location: Remote