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.

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.

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

The Data Science Manager will lead AI/ML solution development for clients in Supply Chain & Manufacturing, mentor data scientists, and drive business development efforts.

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 a Product Researcher, you'll plan and conduct user research, deliver insights for product decisions, and collaborate with teams to improve user experience across Coursera's enterprise workflows.

Own technical delivery of data pipelines and semantic models for Power BI, ensuring performance and governance while working with stakeholders.

Lead the Product Design & Research team, mentor designers, collaborate with cross-functional teams, and drive design processes impacting Loopio's product strategy.

Deliver compelling presentations and host discussions on emerging AI topics, engaging with senior leaders to translate AI concepts into strategic insights.

Lead a team of engineers in developing financial services, collaborating with stakeholders to build effective systems, and fostering a culture of innovation and excellence.

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.

As a Senior Product Manager for lending, you will shape product strategies, manage roadmaps, conduct market analysis, and oversee product development to enhance lending services in emerging markets.

Seeking a Data Science/Machine Learning Engineer with strong Python and machine learning skills, particularly in NLP and cloud platforms.

The Data Science/Machine Learning Engineer will work with machine learning techniques, LLMs for NLP tasks, and data processing tools.

The job involves utilizing Python and machine learning techniques, specifically for NLP tasks and data processing, using tools like Spark and Azure.

As a Product Manager, you'll lead Lower's AI initiatives, shaping user experiences, collaborating across teams, driving delivery, and iterating based on performance data and user insights.

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

The Principal Engineer, Data Science will utilize advanced data science techniques and cloud solutions to design and implement predictive models, collaborate with cross-functional teams, and ensure adherence to best practices in data architecture and machine learning.

The Principal Engineer, Data Science role involves leading data science projects and providing strategic insights using extensive IT experience.

The Senior Staff Engineer, Data Science role involves guiding team direction, solving complex challenges for clients, and leveraging technical expertise to innovate solutions.

The Associate Principal Engineer, Data Science will design data solutions, focus on predictive modeling, optimize data applications, and oversee collaborative technical design processes.

Lead the development of core platform features, ensuring a user-centric experience for data scientists and analysts. Collaborate with teams to align product strategy with business goals, focusing on feature enhancement and stakeholder communication.

Develop and design learning paths and courses in various technical domains, authoring materials and assessments while collaborating with team members.