Top Machine Learning Jobs in Bengaluru

The Senior Site Reliability Engineer will design, build, and maintain services supporting real-time data analytics and machine learning. Responsibilities include implementing SRE principles for reliability, developing software solutions to optimize system operability, creating tools for automation, and managing performance across cloud infrastructures.

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.

Join as a Senior Advisor, Machine Learning Engineer specializing in LLMOps at Dell Technologies in India. Architect, build, and deploy sophisticated General/Generative AI solutions with a focus on operational efficiency and scalability. Work on innovative projects leveraging massive datasets and state-of-the-art language models to drive decision-making and operational efficiencies globally.

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 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.

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.

The role focuses on designing, deploying, and refining large-scale machine learning models to address real-world customer problems. Collaborating with various stakeholders, you'll develop analytical solutions, implement best practices for ML services, and drive data insights to maximize return on investment while maintaining a customer-centric focus.

Lead the development of cutting-edge machine learning algorithms, improve model efficiency, mentor machine learning engineers, and collaborate with product and engineering leaders to innovate the search and recommendation stack.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions to solve complex business problems, manage data sets, and collaborate with stakeholders to ensure solutions meet business needs while maintaining high-quality standards.

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.

As a Senior Pre-Sales Solutions Architect, you will partner with sales and customer success teams to align Udacity's offerings with business outcomes for Global 2000+ clients. You will leverage technical expertise in AI, ML, data science, and cloud computing to address client needs, articulating value propositions and supporting revenue growth through technical and functional initiatives.

The Sr. Python ML Engineer will design and develop generative AI models using advanced language models, integrate applications with external tools, deploy models on cloud platforms, monitor performance with observability tools, and manage version control and CI/CD pipelines while also working with large datasets and deep learning frameworks.

The Application Architect at ResMed will be responsible for designing, developing, and implementing architectural solutions for scalable, high-performance health technology systems. Key responsibilities include managing application architecture, leading development teams, mentoring, and driving best practices in performance, security, and system integration. The role requires collaboration with cross-functional teams and decision-making on technology choices and delivery practices.

As an AI/ML Engineer at HARMAN, you'll leverage your technical skills to work on innovative solutions across various ecosystems, contributing to the design and implementation of cutting-edge technologies.

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.