Top Machine Learning Jobs in Pune

As a Software Engineer III, you will design and deliver technology products, executing solutions and troubleshooting software challenges. You will create secure production code, analyze data for insights, and contribute to team culture while driving improvements.

As a Principal Software Engineer at Boomi, you will collaborate in an Agile team to design, develop, and deploy Boomi products and services. You will mentor team members, resolve complex customer issues, and recommend technologies to enhance the platform. Additionally, you will conduct code reviews, ensure best practices, and keep up with new developments in AI/ML.

As a backend software engineer, you will collaborate with an Agile team to design, develop, and deploy products focusing on AI and ML. You will ensure code quality through reviews, investigate complex customer issues, and continuously learn about new technologies while contributing to the development lifecycle.

The Senior Software Engineer will collaborate with Agile teams to design, develop, test, and deploy products and services, focusing on AI and ML technologies. Responsibilities include mentoring team members, investigating complex issues, and staying updated with industry developments. They will work independently and participate in code reviews, ensuring best practices and high-quality service delivery.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions to solve complex business problems, manage data sets, and collaborate with stakeholders to ensure solutions meet business needs while maintaining high-quality standards.

As a Senior Pre-Sales Solutions Architect, you will partner with sales and customer success teams to align Udacity's offerings with business outcomes for Global 2000+ clients. You will leverage technical expertise in AI, ML, data science, and cloud computing to address client needs, articulating value propositions and supporting revenue growth through technical and functional initiatives.

In this role, you'll design and implement data models to identify patterns, improve AI malware detection models, and collaborate with the AV Engine team to optimize datasets. You will conduct quantitative analyses for actionable insights and perform ETL processes with strong database skills.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.

The Senior Software Engineer (AI/ML Engineer) will develop AI and ML solutions, design machine learning models for applications, preprocess data, evaluate model performance, and utilize cloud platforms while ensuring robust software engineering practices.

As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.

The SW Systems Engineer will innovate and define user experience for AI-driven network management, leading the software development lifecycle to create data mining, machine learning, and networking solutions. Responsibilities include driving strategic innovation, conducting design and code reviews, and deploying high-performance systems.

The Solutions Architect will collaborate with clients to gather requirements and translate them into technical specifications. They will design Edge & IoT solutions incorporating AI/ML, work with cloud platforms, and mentor team members, ensuring proper implementation of solutions and staying updated on industry trends.

Join Avoma as a Senior ML Engineer specializing in NLP to work on challenging NLP problems and improve algorithms for extracting key insights and topics from conversations. Responsibilities include improving the Insights Engine, creating new models, working with LLMs, developing Deep Learning models, and staying up-to-date with NLP advancements.

The Lead AI/ML Engineer will design AI/ML strategies and standards, mentor team members, and engage in development processes including model deployment in AWS services. Responsibilities include risk management, code reviews, and development of reusable libraries.

As a Senior Engineer specializing in generative AI, you will design and develop AI models, lead the training of large language models, collaborate with cross-functional teams, and mentor junior engineers while advancing AI technologies.

The DevOps/ML Engineer will design and maintain infrastructure on Google Cloud, implement containerization strategies, and integrate machine learning models into products. Responsibilities include CI/CD pipeline development, ensuring infrastructure reliability, and collaborating with cross-functional teams for product improvement.

Implement secure, scalable, and robust product features independently within Agile teams. Responsible for planning, identifying solutions, implementing features, and ensuring code quality at cloud scale. Experience in enterprise web applications and Microsoft technology stack required. Exposure to Windows Azure is desirable.