Top Machine Learning Jobs in India

As a Custom Application Architect, you will design scalable software architectures, collaborate with stakeholders, and mentor junior staff while improving application performance.

The Custom Application Architect will design application architectures for custom software, collaborating with stakeholders to ensure solutions meet business needs and industry standards.

Design custom software architecture, translating business needs into technical solutions, collaborating with teams to ensure applications meet organizational requirements.

Design the architecture of custom software systems to meet business needs, collaborating on technical solutions and enhancements.

Lead the creation of the Payment Machine Learning Platform, driving product development efforts and optimizing payment processes to enhance subscription revenue and customer satisfaction.

As a Software Development Lead, you'll develop and configure software systems, collaborate with teams, and mentor team members while focusing on machine learning and software solutions.

The AI / ML Engineer develops applications using AI tools and Cloud services, implements generative AI models, optimizes performance, ensures data accuracy, and collaborates with teams to solve business problems.

Develop custom software solutions using modern frameworks and agile practices, focusing on machine learning, mentoring team members, and guiding project execution.

As an AI/ML Engineer, you will develop AI applications and systems, implement machine learning algorithms, and collaborate on innovative solutions.

As a Technology Product Manager, you will drive the PA Digital product strategy, prioritize the backlog, collaborate with global stakeholders, and ensure high-quality delivery of digital solutions.

The Data Scientist will develop Generative AI solutions, manage AI agent projects, and participate in demo POCs across industries, leveraging cloud platforms.

As a Senior Software Engineer, you will build backend systems for machine learning applications, focusing on scalable software architecture and supporting ML lifecycles.

As a Machine Learning Engineer, you will develop and optimize ML models, preprocess datasets, collaborate on model deployment, and ensure data quality while staying updated with advancements in the field.

Lead teams as a technical expert in statistical and machine learning, delivering AI solutions and addressing complex data problems in healthcare.

Design and deliver cloud native solutions, collaborate on data pipelines, optimize machine learning models, and ensure infrastructure reliability and security.

The Director of Operations Research leads a team in supply chain optimization, using data-driven insights to enhance efficiency and guest experience in retail operations.

Lead the development of search application solutions, collaborating with teams on AI/ML integration and ensuring high-quality software delivery.

The job involves utilizing Python and machine learning techniques, specifically for NLP tasks and data processing, using tools like Spark and Azure.

The Data Analyst ensures data quality through validation and cleansing, utilizes advanced algorithms and ML for insights, develops predictive models, and collaborates with cross-functional teams for operational efficiency.

The role involves developing new features for Illustrator, maintaining existing features, and managing all phases of software development in machine learning and artificial intelligence.

The Flight Operations Data Analyst collects and analyzes flight data to recommend performance improvements and support safety and engineering solutions in collaboration with various stakeholders.

Lead and implement a multi-year SCM continuous improvement strategy, utilizing Lean principles and advanced analytics to optimize processes, mentor teams, and deliver business results.

The Data Scientist will leverage AI and machine learning expertise, focusing on Generative AI and LLMs, to develop innovative solutions and POCs across industries.

As a Software Engineering - AI Developer, you'll design, develop, and implement Generative AI systems, enhance business solutions, and ensure technical quality in product delivery.

The Research Scientist will design ML algorithms, analyze complex data, and integrate models into Adobe's platforms. They will collaborate with cross-functional teams, focusing on innovative research and product development.