Top Machine Learning Jobs in India
The Clinical Data Manager is responsible for supporting the study team with comprehensive documentation, database specifications, and overseeing clinical trial databases' validation and maintenance. They utilize AI and machine learning for data insights and ensure timely high-quality deliverables while complying with quality standards and regulations.
The Senior Data Scientist will develop advanced NLP solutions and AI models for Freshworks' bots platform, tackling complex business problems with advanced machine learning techniques, and enhancing model performance using retrieval-augmented generation methodologies.
The Lead Data Scientist at Freshworks will identify critical business problems solvable through Machine Learning, apply statistical and algorithmic skills, and design scalable systems while collaborating with product and business teams. Responsibilities include defining target metrics and using advanced mathematics with Big Data for effective solutions.
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.
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 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.
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.
Featured Jobs
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.
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 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.
The AI/ML Ops Engineer designs, builds, and deploys machine learning models, conducts model training and evaluation, implements them in production, collaborates with data scientists, monitors post-deployment performance for safety, ensures compliance with medical device regulations, and addresses patient privacy concerns.
As an AI/ML Engineer at Zamp, you will lead the development of generative AI solutions, exploring advanced AI models and fine-tuning data-driven applications to solve complex business challenges. Your role includes innovating AI technologies to enhance operations and customer support.
As an ML Operations Engineer, you will design and manage infrastructure for deploying machine learning models, ensure integration with existing systems, develop monitoring solutions, troubleshoot performance issues, and regularly update models to ensure they deliver consistent value to clients.
Lead a team to create and maintain machine learning solutions, manage ML pipelines, monitor models, and deploy solutions in the cloud while fostering team development and communication.
Conduct manual and automated penetration tests on web applications and AI systems, identify and exploit vulnerabilities in AI algorithms, evaluate the security of ML models, perform risk assessments, provide guidance on secure AI development, and collaborate with various teams to enhance security measures.
The AI/ML Engineer (UI React) at Barclays is responsible for designing, developing, and improving software solutions to provide business and technology capabilities. The role involves collaborating with cross-functional teams to define software requirements and ensuring code scalability and security. The engineer will contribute to technology communities and maintain high standards of code quality and unit testing.
As a Machine Learning Engineer, you will build models and innovative web applications to leverage Generative AI for customer solutions. Responsibilities include defining content generation roadmaps, overseeing delivery of initiatives, establishing training processes for models, and collaborating with teams to drive product improvements.
As a Senior Product Backend Engineer at Instabase, you will design and develop scalable backends, handle real-time data processing, collaborate with frontend engineers on API design, and improve platform stability. You will work directly on user-facing products that leverage AI and machine learning technologies.
As a Senior Machine Learning Engineer on the Recommendations team at Roku, you will develop advanced algorithms for personalized content recommendations and analyze business KPIs through online testing. You will work collaboratively to shape the ML ecosystem while mentoring new team members.
As a Senior Machine Learning Engineer at Atlassian, you will develop and implement machine learning algorithms and train models to enhance AI functionality in Jira. Your role includes designing system architectures, conducting evaluations, and mentoring junior engineers to leverage AI for transformative results.
The Head of International Credit and Data Science will lead the analytics team, developing risk models and credit policies to drive underwriting strategies and innovative product launches in Latin America and South East Asia. The role focuses on leveraging data to enhance business growth and improve customer financial health, while adapting solutions for diverse markets.
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