Top Machine Learning Jobs in India
The Distinguished Machine Learning Engineer will lead AI/ML initiatives focused on developing production-scale machine learning applications. Responsibilities include collaborating with cross-functional teams, mentoring engineers, and implementing innovative solutions driven by a deep understanding of AI and machine learning technologies, ensuring optimal performance and high availability of applications.
As a Senior Data Scientist at Capital One, you will conduct research in self-supervised learning and machine learning models, develop customer behavioral models, and operationalize ML models while collaborating with various teams to improve customer experiences and business outcomes.
As a Senior Data Scientist in the Emerging ML team, you will conduct research, build machine learning models, analyze customer behavior, and collaborate with engineering and product teams to improve customer experiences and business outcomes. You'll work across all phases of the data science lifecycle and utilize various data to create impactful solutions.
The Senior Data Scientist will conduct research on emerging technologies in AI, develop machine learning models, refine integration patterns for these models, and collaborate with business and product teams to enhance customer experiences and business outcomes.
As a Senior Data Scientist in Emerging ML at Capital One, you'll conduct research and develop machine learning models across the data science lifecycle. You will build and operationalize models utilizing large datasets, collaborate with various teams to improve customer experiences, and communicate findings effectively to stakeholders.
The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies that support Capital One's Data Strategy, working collaboratively across teams to design ontology-based data products. They will guide the development of semantic technology integration, manage teams, and mentor junior associates while advocating for the importance of ontology in business outcomes.
The Manager of Ontology and Data Modeling will develop and maintain enterprise ontologies in support of Capital One's Data Strategy, collaborating across teams to integrate semantic technology into products. Responsibilities include guiding the design of ontology-driven data products, communicating with stakeholders, mentoring junior staff, and contributing to the company's cultural and recruiting efforts.
As a Senior Machine Learning Engineer, you will design, build, and deliver ML models and applications, working closely with product and data science teams. You will also automate testing and deployment, optimize data pipelines, and ensure high availability of ML applications. Responsibilities include collaborating in an Agile team, monitoring models in production, and applying best practices of machine learning engineering and Explainable AI.
Featured Jobs
The Senior Machine Learning Engineer will be responsible for productionizing machine learning applications, ensuring high performance and availability while collaborating with cross-functional teams. Key tasks include designing and deploying ML models, constructing data pipelines, and adhering to best practices in responsible AI.
As a Senior Lead Machine Learning Engineer, you will design, develop, and implement machine learning applications, collaborate with cross-functional teams, and ensure high performance of ML systems. You will optimize data pipelines, automate deployment processes, and enforce best practices in AI governance and risk.
As a Senior Lead Machine Learning Engineer at Capital One, you will develop and implement machine learning applications, focusing on architectural design, model training, and deploying optimized ML systems. You will collaborate with cross-functional teams, automate tasks, and ensure code quality while maintaining and monitoring models in production.
The Senior Machine Learning Engineer will design, build, and deploy machine learning models and systems, collaborating with cross-functional teams to solve business problems. Responsibilities include developing optimized data pipelines, maintaining production models, and applying best practices for model governance and responsible AI.
The Senior Director of Technical Program Management will lead strategic initiatives focusing on data management and machine learning, oversee complex technical projects, and enhance operational efficiencies. This role involves collaboration with senior leadership, driving transformative projects, and mentoring TPMs to foster a strong discipline within the team.
The Senior Director of Technical Program Management in Capital One's Enterprise Data and Machine Learning division will lead strategic initiatives to enhance data management and optimize operational efficiencies. Responsibilities include overseeing complex technical projects, aligning teams, and delivering data-driven solutions while fostering a culture of continuous improvement within the TPM team.
The Senior Director, Technical Program Management will lead strategic initiatives in Enterprise Data and Machine Learning, overseeing complex technical projects, aligning teams, and ensuring successful delivery of data-driven solutions. Responsibilities include developing the data storage strategy, managing technical program execution, and fostering a strong TPM discipline in the organization.
The Senior Director of Technical Program Management will oversee strategic initiatives in the Enterprise Data and Machine Learning division, optimizing data management and driving innovation through complex technical projects. The role involves aligning cross-functional teams, ensuring successful delivery of data-driven solutions, and fostering a strong TPM discipline within the organization.
As the Senior Director of Technical Program Management at Capital One, you will lead strategic initiatives in the Enterprise Data and Machine Learning division. Responsibilities include overseeing technical project delivery, managing cross-functional teams, and enhancing data management systems. You will leverage your expertise to drive innovative data solutions and develop the TPM practice within the organization.
.png)
The Enterprise Architect - Machine Learning will lead the design, development, and implementation of AI solutions at Ibotta, collaborating with teams to address business problems, maintain architecture, and mentor others. The role emphasizes innovation in AI strategy, model development, and the selection of appropriate technologies while upholding ethical guidelines.
As a Senior Machine Learning Engineer at Capital One, you'll produce and implement machine learning applications, collaborating with Agile teams. Key responsibilities include designing ML models, automating tests and deployment, building data pipelines, and ensuring model performance and governance. You'll also leverage cloud architectures for scalable ML solutions and follow best practices in AI.
As a Senior Machine Learning Engineer at Capital One, you will be responsible for productionizing machine learning applications, collaborating with teams to design and deliver optimized ML models, and ensuring high performance and availability of ML systems. Key activities include writing application code, automating deployment, and managing ML models in production using cloud technologies.
The Development Manager for Machine Learning Integration will oversee a small team of developers, focusing on integrating ML/AI technology into the IRIS Data Platform. Responsibilities include making code changes, participating in architecture discussions, ensuring compliance with development workflows, maintaining documentation, and triaging issues.
The Manager of Ontology and Data Modeling at Capital One is responsible for developing enterprise ontologies supporting the company's Data Strategy. This role involves collaborating across teams to create domain ontologies, prioritizing a roadmap for data model development, mentoring junior staff, and advocating for semantic technology integration into products and services while adhering to industry standards.
As a Senior Machine Learning Engineer at Capital One, you will design and implement machine learning applications. Your responsibilities include developing ML models, collaborating with cross-functional teams, maintaining models in production, and utilizing best practices in MLOps, CI/CD, and cloud technologies.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deploy machine learning models and systems, optimize code for performance in production, collaborate on Agile teams, and ensure the proper governance and maintenance of ML applications.
The Director of Data Engineering will oversee the management and development of data products, drive cohesive data strategies, and build teams delivering scalable data and fraud products. This role requires collaboration with various stakeholders, embracing new technologies and platforms, while ensuring adherence to engineering best practices.
Top Companies in India Hiring Machine Learning Engineers
See All
.png)
All Filters
No Results
No Results
