Top Machine Learning Jobs in Bengaluru, KA

Experienced Machine Learning Engineer needed to deliver ML models to production and collaborate with cross-functional teams. Must have 2-4 years of experience, proficiency in Python, and expertise in machine learning engineering best practices. Knowledge of containerization, cloud services, workflow management tools, and data warehouses required.

Build cloud-based AI/ML solutions for enterprise services, collaborate with a team to produce quality software, work on detailed requirements from design to delivery of high-quality solutions.

As a Principal Engineer on the AI & ML Platform team at Atlassian, you will build and shape the core infrastructure for ML engineers and data scientists to develop, train, evaluate, deploy, and operate ML models. You will work on systems for product teams like Jira & Confluence to provide access to curated LLMs, tackling complex infrastructure challenges and leading engineers to drive projects from technical design to launch. You will also collaborate with other teams, deliver solutions used by other teams and products, and mentor junior members on the team.

Lead Software Engineer at JPMorgan Chase within the Risk Technology division, responsible for developing secure and high-quality production code, leading evaluation sessions, driving adoption of new technologies, and fostering diversity and inclusion in team culture.

As a Principal Associate - ML Engineer at Capital One India, you will lead the design and implementation of observability tools and dashboards for cutting edge generative AI use cases. You will work on building solutions to collect metadata, metrics, and insights from the large-scale genAI platform and contribute to building a system to accelerate the deployment of models.

Lead the development and operationalization of Gen AI use cases on complex projects, design and implement MLOps pipelines for Generative AI models, automate ML tasks using GitOps and CI/CD pipelines, create database-to-deployment pipelines for models, perform hands-on exploratory data analysis, and manage external ML engineers and vendors.

Seeking a Lead Machine Learning Engineer to automate governance within the model development lifecycle and build systems that feed into automated governance decisioning. Responsibilities include partnering with product and design teams, collaborating as part of a cross-functional Agile team, leveraging cloud-based architectures, constructing data pipelines, and advocating for software and machine learning engineering best practices.

Product Manager role within the Data and Machine Learning team, responsible for leading the end-to-end product life cycle, collaborating with cross-functional teams, and prioritizing data initiatives to drive business decisions.

Design and implement observability frameworks for generative AI models, optimize model performance, collaborate on software development, and build smart products for actionable insights. Bachelor's degree and 4 years of relevant experience required.

Looking for Senior Lead Machine Learning Engineer to join the Machine Learning Experience team at Capital One India. Responsibilities include architecting and developing full stack solutions for monitoring and managing machine learning workflows and models, building observability systems for ML models, collaborating with cross-functional teams, and leveraging programming languages like Python, Scala, or Java.

Principal Engineer on ITSM team working on cutting-edge AI and ML algorithms to modernize IT Operations by reducing MTTR and MTTI, leading projects, collaborating with teams, and shaping future of AIOps.

Join Roku as a Senior ML Engineer in the Cloud TV team to develop intelligent systems for media quality control. Build ML models to ensure quality and accuracy of video, audio, and closed captions on the Roku platform. Collaborate with various engineering teams to design content management systems and impact millions of Roku users globally.

Manage product development activities and lead AI/ML solutions development for enterprise services. Collaborate with teams to create high-quality solutions and enhance engineering teams. Requires 8+ years of experience, Bachelor's degree or higher, and expertise in Generative AI, Prompt Engineering, and various technologies.

AI/ML Engineer with 2-5 years of experience in applying AI to technology solutions. Requires expertise in ML, deep learning, TensorFlow, NLP, algorithms, and problem-solving skills. Must have experience in investigating and triaging issues independently and collaboratively.

Seeking a Mid-Level Machine Learning Software Engineer to advance in-house LLM-powered chatbot technologies through research, development, tuning, and implementation of Retrieval-Augmented Generation (RAG). Responsibilities include technological vision, core development, research, prompt tuning, and research engagement. Must have 2 years of experience in machine learning/data engineering, proficiency in Python, LLM implementation experience, RAG expertise, strong knowledge of algorithms and data structures, and adaptability to new technologies.

Seeking an experienced Senior Machine Learning Engineer to advance in-house chatbot technologies through research, development, evaluation, and analytics. Responsibilities include defining technological vision, project leadership, technological leadership, mentorship, research engagement, and RAG research tracking. Candidates need experience in leading machine learning projects, LLM implementation, proficiency in Python and machine learning libraries, Spark, RAG techniques, mentorship, algorithms, adaptability, and communication skills.

Develop and implement machine learning models for improving business processes and outcomes. Responsible for the full ML stack of the product.