Top Machine Learning Jobs in Bengaluru

As a Software Engineer II, you will design, develop, and troubleshoot software solutions within a team, focusing on enhancing an AI/ML platform. This role involves coding with secure practices, maintaining continuous integration, and applying knowledge of MLOps and data governance to deliver robust and scalable technology products.

As a Software Engineer II, you will enhance, design, and deliver software components within an agile team, focusing on secure, scalable software solutions. Responsibilities include coding, technical troubleshooting, and maintaining effective communication of technical concepts. You will apply your knowledge of software engineering and machine learning to develop products for the Gen AI platform.

The Consultant in Architecture & Engineering focuses on deploying and productionizing ML models, designing ML engineering platforms, collaborating with client teams, ensuring code quality, and mentoring team members. Responsibilities include implementing features, writing production-ready code, debugging, and managing the ML lifecycle.

The Sr. Automation Support Engineer will lead the development of automation and AI projects, provide technical assistance, and optimize automation solutions. The role involves deploying AI and automation solutions, ensuring quality and user adoption, supporting internal teams, and maintaining technical documentation.

The Machine Learning Engineer will lead complex machine learning projects, collaborating with data engineers and scientists to enhance machine learning solutions. Responsibilities include model development, deployment, ensuring data quality, and mentoring junior engineers. This role focuses on improving machine learning capabilities within a data-analytics driven environment at Maersk.

The Senior Software Engineer will design and implement operational monitoring tools and enhancements, utilize machine learning for early failure detection, and develop applications to monitor service performance while interfacing with stakeholders about service availability.

The role involves designing and optimizing data architectures and pipelines for emerging technologies, processing large datasets, implementing data governance, collaborating with teams, and utilizing advanced analytics for actionable insights.

As a Senior Machine Learning Engineer at Atlassian, you will leverage AI to enhance productivity in customer support by developing and scaling machine learning models, communicating complex data science concepts, and adapting to an agile development environment.

As a Principal Associate - Machine Learning Engineer, you will lead the design of observability tools, enhance generative AI models, and build APIs for model governance. You will accelerate the deployment of machine learning models and drive innovation in observability practices at Capital One.

The Lead Engineer will design, develop, deploy, and support modules of enterprise-level software. Responsibilities include architectural design, project timeline development, evaluating product stability and performance, maintaining source codes, and mentoring junior team members, while also participating in technical demonstrations and discussions.

As a Machine Learning Engineer, you will design and implement machine learning algorithms for predictive analytics using large data sets. You will leverage big data for model building, perform data analysis, and provide insights to stakeholders while mentoring junior staff.

As a Lead AI Engineer, you will build and refine ML engineering platforms, scale algorithms, orchestrate model pipelines, implement ML Ops, and write production-ready code while collaborating with teams to address technical requirements and improve machine learning solutions.

The Senior Engineering Manager will lead a team to develop Gen AI/ML solutions, drive technical strategy, mentor engineers, and implement distributed systems. Responsibilities include collaborating cross-functionally to deliver AI/ML features, managing project delivery, and fostering an innovative engineering culture.

As an AI ML Python Developer at JPMorgan Chase, you will develop and deploy ML solutions, collaborate with cross-functional teams, and lead developers. You'll focus on enhancing model performance and optimizing AI applications, while staying updated with industry trends.

The Senior Engineering Manager for Machine Learning at Adobe will lead a team in developing and deploying ML solutions, ensure models are scalable and effective, and collaborate across teams to innovate in AI/ML projects. Responsibilities include mentoring engineers, optimizing ML deployments, and aligning ML strategies with business goals.

As a Machine Learning Engineer at Zeta Global, you will deliver machine learning models to production, work collaboratively with cross-functional teams, and empower decision-making through data-driven insights. The role requires hands-on experience in building, deploying, and managing machine learning systems, along with a strong foundation in containerization, cloud services, and workflow management tools.

The Risk Modeling - Machine Learning Analyst will design and implement machine learning models for risk management in credit cards and small business portfolios. Responsibilities include collaborating with senior management, optimizing model development using cloud computing, and managing predictive risk models.