Primary Skills : Agentic AI, Gen AI, LLMs, NLP, AI/ML, Data Science, AWS/GCP, API Deployment for SAAS, MLOps practices for CI/CD

Roles & Responsibilities :

- Develop Agents, Gen AI Solutions, Custom data models and algorithms to apply to data sets.

- Developing and implementing advanced machine learning models to address complex problems.

- Clearly communicate findings and recommendations, data-driven insights to PMs and executives.

- Lead and mentor a team of data scientists, providing guidance on best practices and technical expertise.

- Collaborate with cross-functional teams to define data-driven strategies and integrate Agentic/AI/ML/Gen AI solutions into products.

- Continuously evaluate and improve the performance of existing models and algorithms.

- Stay updated with the latest advancements in Agentic AI/Gen AI/AI/ML and propose innovative solutions to enhance the company's capabilities.

Requirements :

- Bachelor's/Master's degree in Computer Science, Engineering, or a related technical field with a minimum of 7-8 years' experience.

- Minimum of 2 years of experience in leading a team of junior Data Scientists.

- Should have been involved in end-to-end delivery of the scalable, optimized and enterprise AI solutions.

- Experience in performing prompt engineering and fine-tuning of the AI/ML, GenAI, LLM models & building Agents

- Practical hands-on fine-tuning/transfer learning/optimisation of the Transformer architecture-based Deep Learning models.

- Experience in Agentic AI, Gen AI, LLM, NLP tools such as Word2Vec, TextBlob, NLTK, SpaCy, Gensim, CoreNLP, BERT, GloVe etc.

- Experience in AWS / GCP cloud and deploying the APIs using the latest frameworks like FastAPI/ gRPC etc.

- Experience in Docker for deploying the containers.

- Deployment of the ML models on the Kubernetes clusters

- Experience in NoSQL/SQL databases.

- Good programming skills in Python.

- Domain knowledge in Online Reputation management or experience in a product-based company (added advantage).

- Expertise in delivering end-to-end AI solutions covering multiple technologies & tools to multiple business problems.

- Strong knowledge of statistical methods and experimental design.

- Experience with MLOps practices for CI/CD in machine learning.

- Strong project management skills, with the ability to manage multiple projects simultaneously.

- Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders