Top Machine Learning Jobs in Pune

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

Build and maintain systems for collecting and processing data, design data architectures, and collaborate with data scientists on machine learning models.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

The Director of Corporate Strategy leads strategic initiatives, develops long-term plans, and manages cross-functional projects while engaging stakeholders and producing executive materials.

The Post Doctoral Scientist will analyze large-scale datasets related to cardiometabolic diseases, using statistical and computational techniques to identify genetic factors and support therapeutic development.

The Associate - AI | ML Engineer designs and optimizes prompts for large language models, develops supervised machine learning models, prepares data, evaluates model performance, and engages with stakeholders to communicate findings.

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.

The Gen AI and ML Engineer will develop software solutions using AI techniques and collaborate with teams to enhance performance and integration. Responsibilities include coding best practices, mentoring, and aligning projects with business goals.

The Senior Software Engineer will design and maintain backend software, APIs, and collaborate with various teams to enhance product offerings and scale services.

The Customer Success Business Partner at Lyric drives customer adoption and retention for strategic accounts, leveraging expertise in AI and supply chain operations.

The Data Scientist role involves predictive analytics, NLP, and Deep Learning with a focus on feature engineering for structured and text data.

Lead AI initiatives, craft product vision, manage lifecycle, utilize data for decisions, and foster collaboration across teams.

The Senior AI/ML Engineer will design and implement simulation models and optimization solutions for warehouse logistics and network efficiency, focusing on digital twin simulations and resource allocation.

Drive the Search product roadmap at Bloomreach, focusing on AI, personalization, and data-driven decisions while ensuring customer engagement and market readiness.

Responsible for designing, developing, and delivering high-quality software solutions, collaborating with cross-functional teams, and managing junior developers. You will influence decision-making and promote technical excellence.

The role involves developing and implementing Machine Learning models, managing data pipelines, and supporting Data Science teams with best practices in ML operations and methodologies.

Develop and enhance AI/ML solutions to improve patient care by collaborating with cross-functional teams and deploying machine learning models in production.

The ML Product Owner will shape the supply chain platform by developing forecasting capabilities, collaborating with teams to enhance decision-making using machine learning.

Lead a multi-skilled product team to develop AI/ML data science products, offering technical guidance, mentoring, and fostering innovation in analytics.

The role involves collaborating with Data Science teams to implement and manage ML models, designing GenAI solutions, and automating ML operations, while establishing best practices in ML lifecycle management.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

The AI/ML Engineer II will design, develop, and deploy scalable AI/ML solutions, optimize model performance, and integrate AI into products. The role requires collaboration with various teams and knowledge in deploying solutions to cloud environments.

The AI/ML Engineer II is responsible for designing, developing, and deploying AI/ML solutions. They work closely with product management and engineering teams to translate business problems into scalable AI systems, focusing on model optimization, cloud deployment, and cross-functional collaboration.