Top Machine Learning Jobs in Bengaluru, KA

Seeking an Engineer III with expertise in ML Ops to design and build a modern ML-Ops platform, modularize ML code, establish repeatable patterns for model development, and leverage cloud services. This role involves collaborating with Data Platform Software Engineers, Data Scientists, and Threat Analysts to influence critical business decisions through scalable ML pipelines.

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.

As a Lead Software Engineer - Machine Learning (MLOps) at Freshworks, you will focus on building next-generation platform services to enable machine learning capabilities across the Freshworks suite of products. Responsibilities include delivering scalable ML solutions, building ML pipelines, driving solutions and implementation leveraging open source libraries, and working closely with Data Scientists to enable real-time ML/AI services.

Lead Software Engineer focusing on building next-generation platform services to enable Machine Learning capabilities across Freshworks products. Responsible for delivering scalable, high-performance ML solutions, building ML pipelines, and working closely with Data Scientists to drive adoption.

The Sr. Engineer - ML Ops at CrowdStrike will play a crucial role in building the ML Experimentation Platform and designing scalable ML pipelines. Responsibilities include modularizing ML code, establishing repeatable patterns for model development, and leveraging cloud services in a cloud-first environment.

Seeking a Data Scientist Associate Sr - Machine Learning Engineer with strong programming skills in Python, Java, and JavaScript. Responsibilities include data manipulation, building statistical models, developing custom ML models, data wrangling, database management, and analyzing data from company databases to drive optimization and improvement of business strategies.

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.

The Vice President of Artificial Intelligence and Machine Learning at JPMorgan Chase & Co. will lead strategic projects and develop data-centric solutions that drive business outcomes. Responsibilities include engaging with stakeholders, developing AI/ML solutions, collaborating with teams, and coaching team members. Preferred qualifications include a financial services background and a PhD in a relevant discipline.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.

Lead AI/ML Engineer responsible for designing and developing an enterprise-level solution for GenAI Knowledge Assets at Visa. Key responsibilities include building knowledge management orchestration, leading metadata repository design, and creating value for the organization's AI solutions.

Quizizz, a fast-growing EdTech platform, is looking for a Machine Learning Engineer to empower educators and learners worldwide. Join a committed team driving active learning initiatives and expanding global reach through innovative quiz-based experiences.

As a Senior Machine Learning Engineer at Visa, you will design and build solutions powered by machine learning technologies to tackle business challenges and enhance product performance. This role involves developing AI systems, implementing machine learning pipelines, and driving the development effort to deliver high-quality solutions. The position is hybrid, requiring a combination of remote and in-office work.

The Sr Machine Learning Engineer at Visa will leverage machine learning techniques to implement, deploy, and manage models. This role requires strong programming skills in Python, experience with data pipelines and data processing tools, and the ability to optimize SQL queries in a big data environment. Additionally, the position involves people leadership and stakeholder management skills.

As a Staff ML Engineer, you will design, enhance, and build solutions dealing with next-generation AI/ML and GenAI technology. You will collaborate with senior technical staff, drive development efforts, and present technical solutions to business terms.

Principal AI/ML Engineer role at GSK focusing on Generative AI, NLP, document classification, and data science projects. Responsibilities include designing and developing AI applications, evaluating models, data clustering, and cross-team collaboration. Requires a Bachelor's degree in computer science and 5+ years of experience in AI/ML.

As a Machine Learning Engineer II (NLP) at Suki, you will work on improving computational infrastructure using NLP techniques, scaling platforms for thousands of doctors, and implementing microservices architecture. Key skills include NLP, deep neural networks, and CS fundamentals.

Looking for a Machine Learning Engineer with 6+ years of experience in AI and Machine learning to build efficient, data-driven artificial intelligence systems. Responsibilities include designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, optimizing model performance, and staying updated on the latest ML technologies.