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Top Machine Learning Jobs in India
As a Lead Data Scientist, you will work on AI/ML solutions, enhancing technology products, and developing robust systems while ensuring secure coding practices. You will leverage your skills in programming, machine learning model deployment, and data processing to contribute to business objectives.
The Machine Learning Engineer will develop features and services using Python to apply NLP and ML for data analysis, enabling better insights into private markets. Responsibilities include collaborating with other teams, analyzing unstructured data, and staying current with industry advancements in data science and machine learning.
The Lead ML Engineer at JPMorgan Chase will collaborate with product managers and data scientists to design, develop, and deploy cutting-edge AI/ML solutions. Responsibilities include building scalable ML pipelines, improving generative models, implementing monitoring mechanisms, and staying abreast of AI/ML advancements.
The Machine Learning Engineer will develop and deploy machine learning models, collaborate with cross-functional teams, and enhance data-driven decision-making within the company. Responsibilities include utilizing AWS services, containerization technologies, and managing workflows to create production-ready ML systems.
The Senior Machine Learning Engineer at Warner Bros. Discovery will build and scale personalization and search platforms for the global streaming app Max. Responsibilities include developing recommendation systems, collaborating with data science teams, optimizing systems for performance, and authoring production code in Java, Go, and Python.
You will work on ZS AI products and client AI solutions, creating GenAI applications, providing technical expertise in ML tech stack, collaborating to develop AI models, and managing the end-to-end ML lifecycle while leading and mentoring a team.
In this role, you will maintain test frameworks, collect and report quality metrics, design testing strategies, create and execute automation test plans, and support engineering teams in troubleshooting issues with applications and environments.
This position involves designing and delivering technology products while maintaining high-quality production code. Responsibilities include troubleshooting, developing algorithms, and creating infrastructure for model development and serving, with a focus on compliance and operational excellence. The role also encourages a culture of diversity and agile practices within the team.
Featured Jobs
The Staff Machine Learning Engineer - HR AI Innovation Specialist is responsible for leveraging AI technologies in HR to improve operational efficiency and elevate employee experience. This role involves collaborating with product teams, designing AI solutions, conducting experiments, maintaining documentation, and providing technical expertise while communicating complex concepts to non-technical stakeholders.
As an AI/ML Lead, you will leverage your expertise in machine learning and deep learning to develop and implement advanced natural language processing systems. You will be responsible for fine-tuning model performance, crafting data pipelines, and executing robust testing practices.
The Senior Machine Learning Engineer at PitchBook will utilize machine learning and NLP to analyze large volumes of data, extract insights, and improve search capabilities on the PitchBook Platform. They will also mentor junior team members and collaborate with various stakeholders to automate data processes and enhance overall data management.
Lead a team of machine learning, computer vision, and embedded engineers in developing AI products for the trucking industry to improve safety and fleet performance. Responsible for technical design, project management, and AI pipeline development at Motive.
As a Sr Data and Machine Learning Engineer at Visa, you will design and develop Generative AI applications, optimize code and model performance, and implement automated testing. Collaborating with various teams, you will ensure the successful execution of software features that enhance Visa's internal functions. Staying updated on the latest AI and ML developments is crucial for this role.
As a Staff Data Scientist at Walmart, you will apply and develop machine learning solutions, collaborate with business and engineering teams, present actionable insights, manage data science improvements, and integrate solutions into business processes.
As a Staff Data Scientist, you will leverage machine learning solutions at Walmart scale, solve complex problems with data, collaborate across teams for impactful business solutions, and present actionable insights to drive business improvements.
The Software Engineer will drive business plans by addressing customer needs, improving performance, developing innovative solutions, and mentoring associates within the Walmart Global Tech team. Responsibilities include creating technology solutions, ensuring compliance with company policies, and promoting community outreach efforts.
The Staff Software Engineer will drive the execution of business plans and projects by addressing customer needs, managing resources, improving efficiency, and supporting continuous learning. The role includes architecture, design, and deployment of solutions while mentoring and coaching engineers. The engineer will collaborate with various stakeholders within the Advertising Technology team to build scalable advertising solutions.
As a Data Scientist III at Walmart Global Tech, you will develop and implement advanced statistical models and machine learning algorithms to drive insights and optimize business practices. You will work with large datasets, assess data validity, and communicate findings to stakeholders, helping to enhance decision-making processes across retail divisions.
Lead a team to design and build AI/ML models, manage Agile practices, develop production-grade machine learning services, and mentor data scientists. Collaborate with product managers for user journeys and propose AI solutions to enhance business processes and build trustworthy applications.
As a Senior Data Scientist for Walmart's Search team, you'll develop and implement machine learning solutions to enhance search functionality, analyze large datasets, and collaborate across teams for impactful business solutions. Your work will include defining performance metrics, presenting insights, and integrating solutions into current processes while adhering to industry best practices.
As a Staff Data Scientist at Walmart Labs, you will leverage machine learning to develop scalable models, solve complex business problems using large datasets, and communicate insights to business partners. You’ll collaborate on data-driven decisions and continuously adapt new technologies to enhance models and processes.
This position involves designing, building and deploying scalable advertising technology solutions impacting millions of customers, driving proofs of concept, and mentoring engineers. Responsibilities include creating technical documentation, reviewing KPIs, and collaborating with various stakeholders in Walmart’s Advertising Technology team.
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 Analytics Engineering Manager will lead analytics and software engineering teams, oversee project delivery for analytics and AI initiatives, develop analytics strategies, and manage relationships with stakeholders to ensure impactful solutions that support supply chain and manufacturing functions.
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