Data Scientist

The Data Scientist position in Ahmedabad requires a minimum of 2+ years of experience. As a Data Scientist, you will be responsible for developing, deploying, and implementing solutions for artificial intelligence and machine learning problems and business needs. Your role will involve working with cross-functional teams to collect requirements, analyze data, and create/deploy machine learning models. It is essential to stay updated with the latest advancements in AI/ML research and technologies to drive continuous innovation. Your job will involve a combination of technical implementation and effective communication, collaboration, and documentation to ensure successful project outcomes and knowledge sharing within the team. You should have advanced knowledge of predictive analytics and time series analysis, utilize data-driven insights for decision-making, expertise in NLP techniques, experience in fine-tuning open-source LLMs, proficiency in SQL and Python for building and deploying machine learning models, writing clean and concise code, and adopting methods of version control, continuous integration, and deployment for reliable code management. Your responsibilities will include coordinating with QA engineers for proper testing procedures, implementing automated testing frameworks for expanded test coverage and efficiency, and maintaining comprehensive documentation for all developed solutions and systems. You will also need to document development processes and workflows for future reference. In addition, you are expected to foster a teamwork environment that encourages knowledge sharing, collaboration, and continuous learning. You will guide and support junior developers, provide necessary feedback to help them grow professionally, and foster innovation and creativity within the team to successfully implement practical solutions for technical issues. The company offers a handsome salary, certifications, flexible timings, a 5-day working week, loyalty bonus, excellent referral bonus, maternity leaves and benefits, recognition and awards, and monthly team activities to create a positive work environment.,