Top Machine Learning Jobs in Pune

Lead AI/ML projects to develop recommendation systems, optimize data pipelines, and deliver strategic insights for supply chain execution while mentoring engineers and collaborating across teams.

The Product Designer will lead design for Fictiv's manufacturing platform, focusing on user experience through research, prototyping, and collaboration with teams.

Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.

The Principal Software Engineer will architect and develop AI applications using Python, lead implementation efforts, and collaborate with teams to enhance digital workforce capabilities.

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

As a Backend Software Engineer, develop and improve Bloomreach's multi-tenant search infrastructure, leveraging cloud technologies and machine learning for enhanced performance and scalability.

Lead the definition and delivery of AI-driven features and solutions. Translate complex needs into clear requirements, prioritize use cases, and coordinate cross-functional teams to deliver effectively.

Lead and develop a global Site Reliability Engineering (SRE) team, ensuring system reliability and performance while driving strategic initiatives and fostering collaboration.

The role involves leading CFO Analytics consulting, developing financial models, mentoring teams, and guiding digital transformation in finance.

Lead finance transformation projects, advise clients on performance metrics, oversee consulting teams, and develop strategic relations with CFOs while mentoring team members.

The Process Mining Analyst will optimize processes using mining techniques, support business analysis in travel and finance, and collaborate across teams to enhance operational efficiency.

The Senior QA Engineer will ensure quality in AI products, designing test plans for APIs, UI, and ML workflows, conducting performance testing, and collaborating with ML teams.

The role involves leading AI/ML initiatives, developing solutions, guiding teams, and ensuring the scalability and sustainability of AI models for business impact.

The Senior AI/ML Engineer will lead AI/ML projects, guide junior engineers, and engage with stakeholders to deliver business value through solutions involving NLP and Generative AI.

As an MLOps Engineer, you will enhance ML lifecycle management, ensuring AI models perform consistently through automation, monitoring, and collaboration with data teams.

As a Machine Learning Engineer, you'll productionize ML models, design APIs, optimize performance, and collaborate with teams to integrate AI capabilities into enterprise systems.

The Client Partner leads analytics delivery for clients, driving revenue growth, managing teams, and ensuring client satisfaction through strategic insights and innovation.

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

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.

The Claude.AI Developer designs and implements AI applications using Claude.AI, collaborates with teams to integrate AI solutions, and optimizes performance.

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

Assist in building scalable data workflows, support AI/ML projects, and contribute to mentor-led development and research on GCP features.

The Senior Insights Analyst will support the Client Services team by analyzing data and providing insights to influence business decisions, collaborating with cross-functional teams and stakeholders, and presenting data-driven recommendations.

The Implementation Lead will manage customer implementations of Lyric's AI-powered platform, ensuring projects meet timelines, success criteria, and technical quality while collaborating across teams.

The Staff Engineer in Machine Learning will guide teams, solve client challenges, and enhance solutions leveraging their technical expertise.