Top Machine Learning Jobs in India
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.
As a Senior AI/ML Engineer, you will design, develop, and optimize machine learning models for prediction and classification in financial applications. You will collaborate with software engineers to integrate models into production, lead the development of advanced AI solutions, and implement NLP techniques. The role requires a strong focus on efficiency, scalability, and leveraging cloud-native capabilities.
The Senior Threat Intelligence Researcher will conduct in-depth research on alerts related to various threat vectors, monitor threat actor groups, and develop Standard Operating Procedures for research and triage activities.
The ML Ops Engineer will design data pipelines and engineering infrastructure for enterprise machine learning systems, develop scalable tools for training and inference, support model development, and communicate with clients to track project progress.
The role involves consolidating and correlating data from multiple systems, performing data transformation and trend analysis, and optimizing data visualizations for effective business insights. Requires strong technical skills and independent problem-solving abilities.
The AI/ML Engineer will design, develop, and deploy AI/ML algorithms for automated data mapping and transformation. They will leverage Azure services and Snowflake to build data pipelines, implement data quality checks, and collaborate with teams to ensure successful solution integration with a focus on staying current with advancements in AI/ML technologies.
The Data Scientist role at Encora involves working with machine learning and MLOps technologies. Responsibilities likely include developing algorithms, analyzing data, and contributing to digital engineering projects.
As an SDET focused on machine learning, you will ensure the quality and reliability of ML models by developing automated testing frameworks, designing test strategies, and validating model performance. Your responsibilities include constructing test scenarios, developing systematic test cases, and identifying data quality issues.
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As an Applied Scientist at Typeface, you will develop innovative machine learning models and Generative AI solutions for various content types such as text, image, audio, and video. You will work with a team to define project roadmaps, implement training and testing processes, and ensure delivery of safe and personalized content to clients.
The role involves leading ML and MLOps initiatives, designing and deploying solutions on AWS while ensuring architecture governance and managing complex model/data pipelines to support Data Scientists. Strong communication and collaboration skills are essential to work with stakeholders and present technical information effectively.
The role involves leading a team in power convergence and modeling projects, emphasizing experience in AI/ML accelerators or GPUs. The candidate will conduct power simulation, ASIC power analysis, and optimization while scripting in Python, Perl, or Tcl. Strong communication skills are essential for presenting power status to management and product teams.
The AI/ML Lead will design and implement Natural Language Processing solutions, develop Generative AI models, and oversee machine learning model deployment. Responsibilities include collaborating across teams, mentoring engineers, and ensuring alignment with business goals while leveraging cloud platforms for scalable solutions.
As a Data Scientist III, you will research and develop computer vision and machine learning algorithms, design software systems for retail, and solve complex problems related to product detection and recognition. This role requires collaboration with teams to enhance solutions and maintain knowledge of current technologies.
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.
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.
As a Principal Data Scientist at Blink Health, you will leverage data to enhance decision-making processes, collaborating with various teams to analyze business metrics, design machine learning algorithms, and optimize product strategies for impactful business outcomes.
The Sr Machine Learning Engineer will lead the development and deployment of machine learning models in computer vision and NLP, work closely with clients to interpret insights, mentor junior team members, and ensure delivery of high-quality solutions in the healthcare domain. They will manage communication with stakeholders and drive project success.
The Principal Architect - AI/ML will lead the design and implementation of scalable AI and ML solutions on cloud platforms. The role involves architecting ML workloads, collaborating with cross-functional teams, and ensuring quality and performance of AI/ML models. Continuous research in new technologies and establishing testing processes are also key responsibilities.
As an Associate Client Solutions Partner, you will manage end-to-end sales processes, engage in pre-sales activities, and drive business development in the Data Science and AI domain. Key responsibilities include preparing technical presentations, managing customer relationships, collaborating with technical teams, and proposing solutions to complex business problems using data analytics and AI applications.
As a Machine Learning Engineer, you will develop data pipelines, design and implement deep learning architectures, conduct experiments to evaluate model performance, and optimize existing machine learning models. You will also build pipelines for monitoring and improving production ML/DL models.
The Senior Manager Data Science will lead teams in developing data-driven solutions using machine learning and statistical analysis. Responsibilities include mentoring teams, driving innovation in applied analytics, and optimizing marketing tactics through data usage. The role emphasizes serving as an advisor and advancing data science capabilities across various business offerings.
As a Principal Software Engineer at Boomi, you will collaborate in an Agile team to design, develop, and deploy Boomi products and services. You will mentor team members, resolve complex customer issues, and recommend technologies to enhance the platform. Additionally, you will conduct code reviews, ensure best practices, and keep up with new developments in AI/ML.
As a backend software engineer, you will collaborate with an Agile team to design, develop, and deploy products focusing on AI and ML. You will ensure code quality through reviews, investigate complex customer issues, and continuously learn about new technologies while contributing to the development lifecycle.
The Senior Software Engineer will collaborate with Agile teams to design, develop, test, and deploy products and services, focusing on AI and ML technologies. Responsibilities include mentoring team members, investigating complex issues, and staying updated with industry developments. They will work independently and participate in code reviews, ensuring best practices and high-quality service delivery.
As an ML Engineer II at Wayfair, you will own the ML Pipeline development lifecycle, collaborate with teams to scale the ML Pipeline, create jobs for human annotation, and contribute to MLOps best practices. You will work on building scalable ML systems that enhance customer understanding and marketing decisions.
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