Top Machine Learning Jobs in Pune

The role involves designing scalable solutions, collaborating on technology roadmaps, engaging with clients, and mentoring junior team members in architecture practice.

You will work on LM Envision, LogicMonitor's hybrid observability platform, enhancing operational visibility using AI and Machine Learning for improved IT efficiency.

As a Senior Staff Machine Learning Engineer, you will develop advanced machine learning solutions, enhance cryptocurrency access, and improve user experience with innovative technologies.

Lead MLOps operations, managing ML pipelines and model monitoring, deploying solutions on cloud platforms, and fostering communication across teams.

The Principal Software Engineer will lead innovative projects, oversee a diverse engineering team, drive architectural design, and optimize technology solutions to enhance fraud detection and payment solutions.

The Principal Software Architect leads enterprise-wide initiatives, drives architectural design, mentors engineers, and enhances customer experience through innovative software solutions.

The Software Engineer will develop data solutions for business value, perform statistical modeling, analyze complex data sets, and drive innovative product development.

Lead the design and development of scalable and secure software solutions, collaborating with cross-functional teams and optimizing system performance.

As a Staff Software Engineer, you will lead software design, development, and deliver scalable solutions, mentor engineers, and solve complex challenges.

The Senior BizOps Engineer will lead DevOps transformation, maintain and troubleshoot Hadoop applications, collaborate across teams, and manage client incidents.

The Senior Machine Learning Engineer will design, build, and deploy scalable ML systems, focusing on enhancing user experiences through data analysis and model optimization.

Engineer III - ML Platform will build and optimize ML pipelines for a large-scale data platform, collaborating with engineers and scientists to enhance operational success and model deployment.

As a Senior Machine Learning Engineer at Coinbase, you will build scalable ML infrastructure, develop solutions, and democratize ML resources across teams, focusing on user experience and security.

The role involves architecting IT solutions on Azure, collaborating with stakeholders, and ensuring platform stability and security while incorporating innovative technologies.

Lead a distributed team managing core features of the Goodnotes iOS application, ensuring high-quality delivery, mentoring staff, and contributing to technical strategy.

Develop high-quality full-stack applications while designing APIs, microservices, and leveraging AI tools to improve efficiency. Collaborate within a remote team environment.

As a Machine Learning Engineer, you'll develop and deploy machine learning models to enhance credit decisions, automate customer service, and prevent fraud while collaborating across teams to drive innovation.

The role involves designing and developing ML-powered product capabilities, managing large-scale heterogeneous data, and ensuring production and operational excellence.

Lead the development of ML infrastructure, mentor engineers, collaborate with data scientists, and ensure successful model deployment and project delivery.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

As a Data Scientist, design and deploy AI solutions, optimize models, and collaborate with teams to enhance products using advanced algorithms.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

As a Senior Machine Learning Engineer, you will solve NLP problems, optimize models, and deploy scalable production NLP pipelines in a collaborative environment.

Design and implement machine learning systems, develop applications, manage R&D processes, and collaborate with teams to enhance AI/ML solutions.

As a Forward Deployed Engineer, you will design and implement data solutions for AI projects, collaborating with customers and driving innovation.