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Top Machine Learning Jobs in India
The AVP Data Analyst will implement data quality processes, analyze data issues, build data pipelines, and apply advanced analytics including machine learning to improve organization operations. The role involves collaborating with stakeholders and documenting data quality findings.
As a Credit Data Scientist, you will lead the development of credit models, collaborate with product managers and engineers, design experiments to validate business hypotheses, and mentor your team. The role involves building innovative products in credit for Southeast Asia's unique market demands.
The Sr Data Scientist will utilize advanced analytical skills to support finance and marketing through analytics efforts, focusing on business goals such as forecasting sales and assessing marketing effectiveness. They will collaborate within a dynamic team to ensure the application of advanced data models and stay updated with scientific methodologies.
As a Senior Manager of Data Science, you will lead a team of data scientists to develop advanced statistical models and machine learning algorithms. You will drive insights for retail divisions, assess data validity, utilize big data analytics, build AI/ML models, and communicate findings to business partners.
As a Principal Data Scientist, you will lead a team to develop and implement innovative AI and ML solutions that improve catalog content and derive insights across various retail divisions, collaborating with multiple teams to align strategies and support project goals by synthesizing data into comprehensive analytics datasets.
The Technical Success Manager Lead at ABBYY will oversee a team of Technical Success Managers, ensuring alignment with customer needs and company goals. Responsibilities include strategic customer engagement, process improvement, and operational excellence. The role involves mentoring, advocating for customer needs, and enhancing product capabilities through collaboration with various teams.
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Responsible for overseeing the risk foundation and developing internal tools, leading scam mitigation efforts with a focus on machine learning technology and managing a high-performance team to achieve risk management goals.
The Data Quality Analyst is responsible for implementing and managing data governance and cataloging solutions in a cloud environment. The role involves configuring tools to ensure secure and compliant access to well-governed data, contributing to Sanofi's digital transformation efforts.
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As a Data Scientist on the Digital Data Team at Sanofi, you will apply advanced techniques in machine learning and generative AI to derive insights from diverse data sources. You will work within an Agile team to develop production-quality software and scalable data pipelines, while tracking model performance and collaborating with peers to enhance data science practices across the organization.
As a Consultant at Beghou Consulting, you will manage and execute patient solution projects for the life sciences industry. Your role involves applying advanced analytics techniques to address patient-centric business needs, ensuring project quality, mentoring junior staff, and driving innovation through data-driven solutions.
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.
In this role, you will manage outbound marketing activities for Insider's AI-driven customer experience platform. Responsibilities include developing positioning and messaging, product launches, and training execution, all while leading a dynamic team in a fast-paced startup environment.
The FinCrime Systems & Analytics Manager at Aspire will lead anti-financial crime efforts, leveraging data analytics and machine learning to enhance systems and controls. This role involves improving operational processes, collaborating with various teams, and driving strategic initiatives under the Director of AML Operations. The manager will also refine standard operating procedures for compliance and operational efficiency.
The Associate Engagement Manager will identify and develop new client opportunities in AI and Data Science, lead projects by gathering requirements, and create solutions for complex business problems. The role involves technical tasks including documentation and training, along with managing client expectations and team collaboration for successful project execution.
The Principal Software Engineer will drive technical architectural solutions for Walmart's advertising platform, focusing on machine learning and data systems. Responsibilities include designing and deploying scalable solutions, providing mentorship to engineers, driving evaluations for POC and POT, and collaborating with various stakeholders to meet business needs.
Lead and mentor the Product Management team in India, drive strategic product direction, oversee the development of scalable solutions, collaborate with cross-functional teams, advocate for customer-centric product development, and support team growth through metrics-driven accountability.
As a Senior ML Engineer, you will develop intelligent systems for media quality control at Roku, ensuring high standards of video, audio, and closed captions. Collaborating with various teams, you'll build scalable ML models to enhance content quality across Roku's streaming platform, impacting millions of users globally.
As a Sr. Machine Learning Engineer in the Digital Intelligence team, leverage large-scale computation, substantial datasets, and machine learning to enhance crucial customer products. Responsibilities include overseeing data analysis, developing models and algorithms, managing ML Ops, and communicating with stakeholders. Required qualifications include a Master's degree in Computer Science or related field with 3 years of experience, expertise in machine learning and related areas, and a solid understanding of core CS concepts.
The Senior Staff Machine Learning Engineer at Tekion will be responsible for leveraging cutting-edge technology like machine learning and AI to enhance automotive retail experiences. They will work on integrating and optimizing big data processes within Tekion's innovative cloud-native automotive platform. This role involves collaboration with various teams to ensure seamless connectivity across the automotive retail ecosystem.
As a Senior Machine Learning Engineer at Oportun, you will elevate ML capabilities by leading the development of advanced ML infrastructure and collaborating with data scientists and engineers. Your role includes mentoring junior engineers, managing critical projects, and ensuring high-quality ML solutions are produced from inception to deployment.
The Senior Machine Learning Engineer at Bazaarvoice will develop AI/ML driven solutions using advanced techniques like natural language processing, mentoring junior engineers, and collaborating with product teams to optimize and create predictive models from large data sets.
The Senior Machine Learning Engineer at Oportun will lead the development of ML infrastructure from model training to deployment. Responsibilities include mentoring junior engineers, collaborating with data scientists, and overseeing critical projects to deliver impactful AI/ML solutions in the FinTech space.
As an AI/ML Engineer at Zamp, you will lead the development of generative AI solutions, exploring advanced AI models and fine-tuning data-driven applications to solve complex business challenges. Your role includes innovating AI technologies to enhance operations and customer support.
As a Senior Product Manager, you will lead the development of the Earnings platform, emphasizing Machine Learning solutions to enhance user experience. Your role includes defining product vision, collaborating with cross-functional teams, using data-driven insights for decision-making, and guiding the team in implementing scalable solutions.
The Data Annotator role involves accurately extracting, annotating, and quality controlling data from trade and financial documents. Responsibilities include using OCR tools, correcting data extraction errors, and collaborating with teams to improve automated processes. This position contributes to enhancing data accuracy and operational efficiency.
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