Top Machine Learning Jobs in India

As a Machine Learning Engineer Intern, you will assist in developing computer vision algorithms for item authentication and fingerprinting, collaborating on model deployment, and contributing to code quality and documentation.

As a Data Analyst, you will support Data Science & AI initiatives by managing data sources, performing analyses using SQL and Python, and developing insights and dashboards with tools like Tableau. You will ensure data quality and collaborate with teams across the organization.

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

Design and implement AI-powered operational solutions utilizing AWS services and machine learning, focusing on automation, monitoring, and container orchestration, enhancing cloud infrastructure efficiency.

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

Responsible for designing, developing, and delivering high-quality software solutions, collaborating with cross-functional teams, and managing junior developers. You will influence decision-making and promote technical excellence.

The Sr. Software Engineer will design machine learning algorithms, handle large unstructured data, and build data pipelines for e-commerce and consumer trends.

The Staff Software Engineer will design and deploy ML algorithms, manage large data, and lead team efforts to enhance product offerings.

The role requires building and optimizing LLM-based applications using Python and libraries like PyTorch and TensorFlow, focusing on MLOps and generative AI integration.

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 role involves research and development in advanced parallel computing, AI, and cloud solutions to enhance KLA's products and performance.

Develop R&D algorithms for KLA's FaST group, focusing on advanced computing and innovative parallel computing methods to enhance product performance.

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.

Lead end-to-end machine learning model development, including data sampling, training, deployment, and evaluation in an Agile environment. Utilize technologies such as Python and Azure to deliver large-scale machine learning solutions.

The AI/ML Engineer III translates business goals into ML metrics, leads ML model development, and oversees deployment and monitoring of AI solutions, driving innovation and collaboration across teams.

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

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 Machine Learning Engineer will design and deploy ML models for various applications, own the ML lifecycle, and collaborate cross-functionally to enhance predictive systems across pricing and fraud detection.

As an AI Engineer at FICO, you'll design and maintain resilient data and ML pipelines, automate infrastructure with AWS and Terraform, and optimize ML models for production. Responsibilities include building CI/CD workflows, ensuring security, and collaborating with cross-functional teams for effective deployment and infrastructure management.

The Director of AI/ML & Data Science will lead data science teams, establish technical rigor, manage cross-functional collaborations, and drive initiatives in AI, NLP, and analytics.

Lead the development of scalable enterprise software and AI/ML solutions for capital markets, ensuring compliance and high performance. Oversee the engineering team, define technical roadmaps, and drive innovation in software applications.

The QA Analyst will develop test strategies, document test cases, perform various tests, maintain test case documentation, and collaborate with the development team to ensure quality assurance for applications, especially involving AI and ML.

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.

The Senior Technology Engineer will design, deploy, and optimize AI-driven solutions across on-premises and cloud, focusing on scalable inference systems and MLOps.

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.