Get the job you really want.
Top Machine Learning Jobs in India
The Data Scientist will work within the Data Science and AI team, responsible for operational delivery of data science projects, including solution design and machine learning modeling. The role emphasizes collaboration, innovation, and leveraging various modeling techniques like deep learning and computer vision.
As a Data Scientist at Hitachi Solutions, you will be responsible for operational accountability on client-side projects, designing solutions, and delivering data science requirements to support the Data Science and Artificial Intelligence Team. You will work in a dynamic environment focused on innovation and engineering excellence.
The Software Engineer III will design and develop Machine Learning and AI features for an established software platform. Responsibilities include conducting requirements analysis, coding, troubleshooting, and collaborating in an agile environment. The role requires experience in Python and AI/ML concepts, as well as problem-solving and communication skills.
As a Senior AI/ML Engineer, you will design and implement AI/ML models, collaborate with teams to integrate solutions, analyze datasets, optimize models, and stay updated with advancements. Your role includes mentoring junior members and maintaining deployed models.
The Python ML Developer will design, develop, and deploy machine learning models and algorithms, collaborate with cross-functional teams, optimize model performance, implement prompt engineering, and document processes within an Agile environment.
The Technical Account Manager at ABBYY will conduct value discovery sessions with customers, manage relationships, identify training needs, and ensure customers maximize the value of ABBYY products. Responsibilities include preventing customer obstacles, coordinating with internal teams, and using feedback to improve services. The role requires strong technical and business acumen to translate technology needs into successful outcomes for clients.
As a Machine Learning Engineer II (NLP) at Suki, you will work on improving computational infrastructure using NLP techniques, scaling platforms for thousands of doctors, and implementing microservices architecture. Key skills include NLP, deep neural networks, and CS fundamentals.
Lead an engineering team to build and innovate analytics solutions using Big Data and other technologies, ensuring scalable applications. Collaborate with cross-functional teams while mentoring engineers and advocating for technical excellence.
Featured Jobs
Seeking an experienced Senior Engineering Manager with expertise in cloud computing, artificial intelligence, and machine learning. Responsible for leading the engineering team, driving technical strategy, and managing stakeholder relationships to achieve business objectives.
The Manager - Full Stack Developer will lead technology projects, provide technical expertise, mentor a software development team, and enhance investment management technology. Responsibilities include designing cloud-based applications, solving complex business problems using advanced analytics, optimizing software delivery, and ensuring adherence to enterprise standards.
The Applied AI/ML Lead will drive the development and deployment of AI and machine learning models for real-world business applications. The role involves leading a team to apply AI/ML techniques, collaborating with cross-functional teams, and ensuring solutions are scalable and integrated into business processes. The position requires mentoring a growing AI/ML team and staying updated with AI/ML advancements.
As an Applied AI/ML Engineer, you will lead the development and deployment of AI/ML models to improve customer experiences. Collaborating with data scientists and engineering teams, you will design AI solutions, oversee model development, ensure data readiness, and track AI performance using AIOps practices.
The Data Scientist will research and develop generative AI models, collaborate with teams to implement AI-driven solutions, train and optimize models, ensure data quality, and integrate AI/ML models into production applications while maintaining documentation and facilitating communication.
The Senior Machine Learning Engineer will build and own advanced content recommendation algorithms, apply various ML techniques, run A/B tests, and collaborate with cross-functional teams to meet business requirements while mentoring new team members.
The Project Manager will lead data-led technology projects for automation focusing on AI, ML, NLP, and Computer Vision. Responsibilities include managing teams, communicating goals, developing programs, budgeting, and ensuring project goals are met while maintaining customer satisfaction and safety.
The role involves driving AI consulting for Automotive, Manufacturing, and Healthcare by solving complex business problems through advanced analytics and AI. The Senior Business Consultant will provide thought leadership, collaborate with clients and teams, handle end-to-end project delivery, and manage client relationships while focusing on machine learning and analytics solutions.
The Principal Data Scientist at Visa will design and build advanced fraud detection solutions, manage data science projects, and translate business problems into technical solutions, all while collaborating with stakeholders to enhance the safety of Visa's payment ecosystem.
The Senior Machine Learning Engineer will design and implement ML algorithms for complex problems, optimize workforce scheduling, and collaborate with product teams to enhance company objectives. Responsibilities include building and maintaining data pipelines, preparing datasets, and continuously evaluating model performance.
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 AWS AI ML Engineers are responsible for deploying, integrating, monitoring ML models, managing AWS infrastructure, automating CI/CD for model deployment, maintaining data pipelines, ensuring security compliance, and collaborating with data scientists for model improvement and deployment.
The Application Development Engineer (ADE) at Arista Networks will design and implement machine learning models and systems while collaborating with developers throughout the software development life cycle. Responsibilities include statistical analysis, troubleshooting, data visualization, and technical documentation.
The Senior Manager AI & Data Engineering will lead a team in the development and integration of AI solutions in healthcare technology. Responsibilities include hiring and mentoring teams, overseeing AI and machine learning systems, and ensuring robust data engineering practices.
The Senior Manager, Data Science and Operations Enablement at Visa leads projects to enhance fraud detection solutions, translating business challenges into technical data-driven problems. This role requires expertise in machine learning, data analysis, and collaboration with stakeholders to deliver business intelligence and vital insights for Visa's payment systems.
The Staff Software Engineer will develop scalable low-latency AI solutions, lead AI design and algorithm implementation, and mentor junior team members, while engaging with cross-vertical partners to enhance software development. The role includes architecting key modules and ensuring adherence to industry standards.
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.
Top Companies in India Hiring Machine Learning Engineers
See All
All Filters
No Results
No Results
