Top Machine Learning Jobs in India
As a Senior Engineer on the ML Platform team, you will design and build a scalable ML Experimentation Platform, collaborate with software engineers and data scientists, and implement efficient ML pipelines. Your role will involve modularizing ML code, establishing deployment patterns, and leveraging orchestration tools in a cloud-first environment to support critical business decisions.
As an Engineer III on the ML Platform team, you will design, implement, and maintain scalable ML pipelines. Responsibilities include modularizing ML code, facilitating platform adoption, and ensuring code quality and best practices. You'll build a modern Data+ML platform that supports large-scale data analysis and experimentation.
The Engineer III will develop scalable ML pipelines for Data Preparation, Cataloging, Feature Engineering, Model Training, and Model Serving. Responsibilities include designing a modern Data+ML platform, establishing model development patterns, and ensuring best software practices in close collaboration with Data Platform teams.
The Applied AI ML Lead will develop advanced machine learning models for NLP, speech analytics, and recommendations, collaborating with various teams to deploy solutions and ensuring effective model performance evaluation. A strong background in machine learning techniques and a passion for innovation are essential.
In this role, the Director of Machine Learning Engineering will lead teams to develop Machine Learning Model Governance and AI Observability platforms. They will optimize model performance, innovate with Gen AI frameworks, and guide technical development within their teams while collaborating in an Agile setting.
As an AI Engineer at Motorola Solutions, you'll design, develop, and implement Generative AI applications, collaborate with cross-functional teams, perform model optimization, and mentor junior members. You'll create scalable systems to process data effectively while showcasing AI innovations to support product development and sales.
As a Lead AI Engineer, you will build and enhance ML engineering platforms, scale algorithms for large data sets, and create model pipelines. You'll collaborate with teams on technical requirements, write production-ready code, conduct code reviews, test edge cases, and stay informed on the latest architecture patterns and technologies.
As a Lead AI Engineer, you will build and refine machine learning engineering platforms, scale algorithms for large datasets, and implement ML Ops. Collaborate with teams to gather technical requirements, write production-quality code, and ensure high-quality deliverables through best practices and testing. Participate in agile ceremonies and explore new architecture patterns to improve solutions.
Featured Jobs
As a Lead AI Engineer at ZS, you will build and refine ML Engineering platforms, scale ML algorithms for large datasets, and implement ML Ops practices. The role involves collaborating with teams to gather technical requirements, creating model pipelines, writing production-ready code, and ensuring the quality of deliverables through testing and best practices.
As a Software Engineer III, you will design and deliver software solutions, maintain production code, develop algorithms, analyze data, and improve systems while contributing to team culture and exploring new technologies.
The Staff Machine Learning Engineer will design and support a framework for the full ML lifecycle, maintain large-scale ML pipelines, and integrate solutions with various ML PaaS applications, collaborating with MLEs and Researchers.
As a Senior Engineer in the ML Platform team, you will design, implement, and maintain scalable ML pipelines for data preparation, model training, and serving. Collaborating with data scientists and engineers, you will help build a modern Data+ML platform, establish best practices in model development, and leverage cloud tools for efficient pipeline execution.
As a Sr. Engineer on the ML Platform team, you'll design and build scalable ML pipelines, collaborate with various teams for model development and deployment, and facilitate a self-service ML experimentation platform in a cloud-native environment.
The Staff Machine Learning Engineer will build and scale personalization and search platforms for the streaming app Max. Responsibilities include developing recommendation systems, collaborating with data science engineers, driving improvements in platform performance, and optimizing code in Java, Go, and Python.
The Senior Software Engineer will focus on optimizing and evolving the data platform to solve complex data challenges. Responsibilities include contributing to the data platform roadmap, collaborating with engineers across various disciplines, innovating ETL processes, and mentoring team members.
The Senior Machine Learning Engineer will develop and scale machine learning models that enhance agent productivity by automating ticket resolution processes. Responsibilities include writing high-performance code, communicating data science concepts, and driving innovative solutions in a collaborative environment.
The Patient Insights Solution Engineer develops analytics and visualization solutions for patient-facing digital platforms, collaborates with various stakeholders, and implements analytics changes based on business requirements. Responsibilities include designing and managing analytics plans while working towards advanced cloud-based technology solutions to enhance patient care.
The Principal Associate - Full Stack Software Engineer will lead the Machine Learning Experience team to develop autonomous data products, collaborate with business heads, and drive impactful analytics. Responsibilities include tech delivery, recruiting and developing a talented team while addressing complex business challenges with advanced analytics and machine learning.
As a Lead Machine Learning Engineer, you will focus on automating model governance, building optimized data pipelines, collaborating with cross-functional teams, leveraging cloud technologies, and advocating for best practices in software and machine learning engineering.
As a Machine Learning Scientist - Natural Language Processing (NLP) - Senior Associate, responsible for developing state-of-art ML models, collaborating with various teams, and deploying solutions into production. Required expertise in Deep Learning and classical ML techniques. Hands-on experience with virtual assistant model development and optimization. Strong analytical thinking and communication skills are essential.
The Product Owner for the Analytics Platform will manage and enhance the OneTru analytics platform, connecting user requirements across regions, analyzing gaps, and collaborating with engineering to implement solutions while launching new capabilities in a scalable technology environment.
As a Software Engineer III at JPMorgan Chase, you will design, develop, and troubleshoot software solutions, collaborate with cross-functional teams, and build scalable APIs/services for ML model deployment. Your responsibilities will include automating MLOps pipelines, utilizing cloud platforms, and contributing to the deployment of machine learning models in production.
The role involves designing, analyzing, and delivering quantitative risk models to support JP Morgan's Wholesale Credit Stress frameworks. Responsibilities include model development, performance monitoring, and collaborating with business partners to meet regulatory and operational requirements.
As a Principal Engineer on the ITSM team, you will work on AI and ML algorithms to enhance IT Operations, reduce incident response times, and lead engineering projects. Your role involves collaborating with cross-functional teams to innovate and improve IT service management through machine learning techniques, while ensuring high software performance and reliability.
The Senior AI/ML Engineer will advise on data science activities, lead Gen AI use cases, design and implement MLOps pipelines, and automate ML tasks. Responsibilities include model development, data quality monitoring, and project management in collaboration with various stakeholders.
Top Companies in India Hiring Machine Learning Engineers
See All
All Filters
No Results
No Results
