Top Data Scientist Jobs in Pune

As a Senior Engineer for Large Language Models, you will create GenAI applications, develop RAG-based pipelines, and optimize prompt engineering.

Lead the end-to-end data science pipeline, develop AI/ML models, collaborate with engineering teams, and engage business users to translate complex problems into solutions.

As a Senior MLOps Engineer, you will collaborate with data science and engineering teams to manage ML pipelines, monitor models, and deploy solutions in the cloud.

As an Advanced Data Science Associate, you'll develop advanced algorithms, apply statistical techniques, and collaborate with clients to communicate analysis findings.

As a Data Science Associate Consultant, you'll design analytics solutions, implement AI models, collaborate on machine learning projects, and develop algorithms for complex data sets.

Lead and execute high-impact analytics solutions using optimization techniques on large datasets, manage project teams, and communicate findings with clients.

Conduct cryptocurrency research to produce insights, coordinate projects with various teams, and track industry trends and developments.

As a Customer Facing Data Scientist, support customers throughout their lifecycle, provide AI solutions, collaborate with clients, and represent DataRobot's product in pre-sales processes.

The Senior Data Scientist will enhance the predictive modeling capabilities of Lyric's platform, focusing on machine learning and statistical methods for supply chain optimization.

Seeking a Data Science expert with 11+ years in predictive modeling and optimization, strong Python/R skills, and cloud architecture knowledge.

As a Sr. Data Scientist, you will work with large datasets, implementing ETL and machine learning pipelines while improving data quality and analyzing algorithms.

The job involves designing and evaluating prompts for AI systems, conducting data-driven analysis, leading a team, and collaborating across various departments to optimize AI performance.

Lead the development of advanced data pipelines and machine learning models to optimize online marketing campaigns while collaborating with cross-functional teams.

Designs and maintains AI models, manages data pipelines, collaborates with cross-functional teams, and presents technical solutions to executives.

Lead and develop advanced analytics solutions, collaborate with cross-functional teams, and communicate findings to stakeholders while focusing on machine learning and natural language processing.

Lead the development of a reporting platform through data engineering, machine learning models, and deployment strategies while collaborating with stakeholders.

The Senior Staff Engineer in Data Science will develop predictive models, optimize solutions, and oversee ML model deployment while collaborating with cross-functional teams.

The Senior Staff Engineer in Data Science will lead the development of technical solutions, utilizing machine learning principles, data analysis, and collaboration with teams to meet client needs effectively.

The Senior Staff Engineer in Data Science will lead projects involving machine learning, data analysis, cloud-based platforms, and big data technologies, requiring extensive experience and expertise in various programming languages and data science libraries.

As an Associate Principal Engineer in Data Science, you will lead predictive modeling and optimization projects, work with cross-functional teams, and oversee architecture and design for data solutions on cloud platforms.

The role involves leading data science initiatives, focusing on predictive modeling, optimization, and leveraging cloud architecture. Responsibilities include code quality assurance, technical design creation, and solution development while collaborating with cross-functional teams.

The Associate Principal Engineer, Data Science will focus on client requirements, predictive modeling, optimization, architecture, and code quality, collaborating with teams and leading technical implementations.

The Associate Principal Engineer in Data Science will leverage extensive experience in predictive modeling and optimization, working with cloud-based data solutions and machine learning to meet client needs and enhance project outcomes.

The role involves managing data science projects, focusing on NLP, Generative AI, and recommender systems while ensuring enterprise-grade solutions. Candidates should have strong cloud and programming skills and communication abilities.

Lead AI and data innovation by developing ML models, optimizing data systems, and mentoring junior team members in a collaborative team environment.