Top Machine Learning Jobs in India

The Associate Machine Learning Engineer will develop and deploy machine learning solutions for large datasets, requiring experience with data science libraries and software engineering practices.

The role involves developing knowledge systems and AI pipelines, utilizing databases and machine learning models, and collaborating with data analysts.

The Senior Engineer will develop and deploy machine learning models and workflows, mentor junior engineers, and collaborate with cross-functional teams to improve patient care through innovative solutions.

Lead design and development of AI solutions to solve complex problems, build data pipelines, mentor teams, and incorporate AI research into products.

The Senior Engineer, AI/ML designs and develops AI/ML solutions, collaborates with teams, builds data pipelines, and optimizes model performance.

Design and deliver LLM-powered applications, build retrieval pipelines, and create evaluation frameworks. Collaborate with teams on innovative AI/ML solutions.

Design and implement agentic architectures for humanoid robots, collaborating with teams to enhance performance, safety, and reliability through advanced methodologies.

Lead the design and development of scalable data pipelines using Ab-initio and Python, migrating workflows, ensuring data quality, and mentoring team members.

As a Senior Data Engineer, you'll design, develop, and maintain cloud data solutions, build data pipelines, ensure data quality, and collaborate with clients and teams.

The role focuses on leading application development efforts with a strong emphasis on automation and generative AI while ensuring product quality and collboration across teams.

This role involves developing real-world applications using modern AI models and LLM frameworks, focusing on deployment and implementation of AI features.

The MLOps Engineer will design, build, and operate ML workflows on AWS, ensuring model reliability and compliance while collaborating with teams to enhance healthcare outcomes.

As an AI/ML Engineer, you will develop machine learning models, collaborate with teams, monitor performance, and improve processes for life sciences applications.

The Senior Software Engineer will develop and deploy AI/ML solutions, improve model performance, and collaborate with stakeholders to enhance customer experience.

Develop and optimize RAG pipelines, fine-tune LLM models, contribute to ML and DL architectures, and implement evaluation frameworks.

The SDE II in AI/ML at Mindtickle will design, implement, and improve AI/ML components, mentor junior engineers, and contribute to architecture discussions to enhance revenue productivity platforms.

The Senior Software Engineer will lead the design and development of AI-driven solutions, mentor junior engineers, and optimize AI/ML models for various applications.

Develop ML pipelines, evaluate model performance, and debug issues. Generate data formats for ML models and conduct data analysis and visualization.

The AI/ML Engineer will focus on advanced parallel computing research and software architectures for AI, HPC, and Cloud solutions to improve KLA's products.

The ML Engineer will develop AI/ML pipelines, optimize models, build AI applications, monitor and improve model quality, and support AI operations. Responsibilities include leveraging GCP tools and collaborating on GenAI workflows.

The job requires designing and implementing efficient algorithms for optimizing Large Language Model inference on DNN Accelerators as part of a team of researchers and engineers.

Responsible for designing and building automated test frameworks for AI hardware/software, focusing on validation of machine learning models and CI/CD processes.

The Senior Data Scientist will design and maintain data pipelines, optimize machine learning models, and collaborate with cross-functional teams to deliver impactful data-driven solutions.

The role involves designing and maintaining AI/ML platforms, deploying AI engines, managing model lifecycles, automating CI/CD pipelines, and ensuring system performance across cloud and on-premise environments.

The Senior Data Engineer will design and optimize scalable data pipelines, implement real-time streaming pipelines, collaborate with data scientists, and oversee CI/CD and data quality practices.