Lead Data Scientist

4 weeks ago

Gurugram, India Birdeye Full time

Primary Skills : Agentic AI, Gen AI, LLMs, NLP, AI/ML, Data Science, AWS/GCP, API Deployment for SAAS, MLOps practices for CI/CDRoles & 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 (ref:hirist.tech)

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