Top Machine Learning Jobs in India

As a Senior Software Engineer in ML Ops and Data Engineering, you will design and implement scalable data solutions, manage data pipelines, and deploy machine learning models utilizing various technologies such as Databricks and PySpark. Your role focuses on optimizing data processes and collaborating with teams to enhance business efficiency.

The Sr. Python ML Engineer will design and develop generative AI models using advanced language models, integrate applications with external tools, deploy models on cloud platforms, monitor performance with observability tools, and manage version control and CI/CD pipelines while also working with large datasets and deep learning frameworks.

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.

The Application Architect at ResMed will be responsible for designing, developing, and implementing architectural solutions for scalable, high-performance health technology systems. Key responsibilities include managing application architecture, leading development teams, mentoring, and driving best practices in performance, security, and system integration. The role requires collaboration with cross-functional teams and decision-making on technology choices and delivery practices.

The Implementation Associate supports the Professional Services team by assisting in the implementation of software solutions. Responsibilities include coordinating customer onboarding and setup, managing project timelines, maintaining documentation, and providing feedback for continuous improvement.

The Partner Success Specialist will assist in onboarding customers into ResMed's partner ecosystem. Responsibilities include organizing partner meetings, managing contracts, supporting the Partner Onboarding team, updating Salesforce, and maintaining communications with stakeholders to ensure successful onboarding and customer activations.

The Senior Product Manager will lead the development and adoption of AI/ML capabilities at ResMed, overseeing the entire lifecycle from data preparation to model deployment. This role requires strategic vision, stakeholder collaboration, and end-to-end product management to enhance AI/ML platform features and deliver robust solutions within regulatory frameworks.

As a Principal Scientist at Adobe Research, you will drive innovative AI research and technology development, publish findings in top academic venues, and collaborate with global universities. Responsibilities include designing, developing, and prototyping AI discoveries to enhance Adobe's products.

Develop and deliver machine learning models for accounts receivables, ensuring high quality and alignment with business goals. Collaborate with teams to improve deployment processes and analyze data for actionable insights, while overseeing the technical direction and guidance of the team.

The Staff ML Engineer will design and build AI/ML solutions, develop machine learning pipelines, and enhance product performance. Responsibilities include writing efficient code, managing project risks, and collaborating with technical teams to deliver high-quality solutions.

As a Staff Machine Learning Engineer, you will design and maintain robust infrastructure for deploying and monitoring machine learning models. Collaborate with data scientists, implement CI/CD pipelines, ensure security and compliance, and optimize model performance while documenting processes and guiding team members.

As a Risk Consultant, you will conduct risk analyses using advanced technologies for clients in catastrophe risk management. This role involves customizing model outputs, managing projects, and providing client support on software platforms. You will collaborate with global teams to develop strategies and metrics.

As a Technical Recruiter, you will play a vital role in building domestic teams through full-cycle recruitment for technology and data positions. You will partner with stakeholders to fulfill real-time hiring needs, utilize ATS and CRM technology, and advocate for diversity and inclusion in recruitment processes.

The Finance Manager will oversee accounting processes, maintain accurate records, prepare financial reports, manage audits, ensure compliance, coach finance specialists, and provide insights for business decisions and special projects.

The Product Manager will contribute to the success of a catastrophe modeling platform by overseeing product planning, requirement development, and implementation as it transitions to a SaaS model. Responsibilities include maintaining the scrum team backlog, working on user stories, driving features, and facilitating team delivery.

The Senior ML Engineer will design, build, and deploy machine learning and deep learning models, perform data analysis, collaborate with teams to deliver innovative solutions, and document methodologies and results. The role requires staying current with advancements in ML and optimizing models for performance.

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.