Top Machine Learning Jobs in Kolkata

The AI & Machine Learning Engineer will develop and maintain algorithms for computer vision, natural language processing, and machine learning to solve business challenges. Responsibilities include training and evaluating models, orchestrating image and video tasks, deploying models, and collaborating with engineering teams to enhance e-commerce solutions.

The Senior Machine Learning Developer will design, build, and optimize machine learning models for AI-driven site planning tools, develop scalable ML solutions, create efficient data pipelines, and implement MLOps. The role includes technical leadership, collaboration with teams, and ensuring the performance of ML models.

As a Senior Machine Learning Engineer, you will develop and deploy ML models for business use cases, mentor team members, and collaborate in shaping the ML ecosystem, impacting sales and customer satisfaction at Zoom.

The Senior Machine Learning Engineer at Oportun will lead the development of ML infrastructure, guiding teams in delivering high-quality ML solutions, collaborating with data scientists, and ensuring adherence to best practices in model deployment and evaluation.

The Principal AI Engineer will design, develop, and deploy AI solutions to address complex business challenges. The role requires expertise in machine learning and natural language processing, driving projects from conception to deployment while managing data sets and collaborating with stakeholders to ensure solutions meet business needs.

As a Senior Staff Machine Learning Engineer at Coinbase, you will leverage advanced machine learning techniques to solve complex problems, improve user experiences, and enhance product security. Responsibilities include developing scalable ML solutions and building infrastructure for machine learning utilization across the company.

As a Senior Machine Learning Engineer at Coinbase, you will develop machine learning solutions to enhance user experiences and ensure security. Responsibilities include utilizing advanced methodologies like deep learning and LLMs for fraud detection and recommendations, while also creating infrastructure to democratize machine learning access within the company.

The Senior Machine Learning Engineer will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems. Responsibilities include developing data pipelines, implementing monitoring features, writing tests, and collaborating with stakeholders to enhance the user experience across Apollo's products.

As a Senior Performance Engineer at Boomi, you will validate and recommend performance optimizations for the computing infrastructure and software, analyze software architecture for improvements, design and automate scalability tests, and work on identifying performance bottlenecks with the Product Development and Site Reliability Engineering teams.

As a Senior Staff Forward Deployed AI Engineer at MongoDB, you will partner with enterprise customers to modernize applications, optimize performance, and implement AI tools. Your role involves delivering impactful technical solutions and influencing product direction, with an emphasis on machine learning and microservices.

The Senior Software Engineer at ABBYY is responsible for the end-to-end development of features and services, ensuring code quality and performance. Responsibilities include code ownership, collaboration with cross-functional teams, and driving continuous improvement and system reliability.

The Senior Software Engineer will implement and optimize components of the AI platform, lead the development of infrastructure for ML model deployment, provide technical guidance to teams, and build monitoring solutions. This role emphasizes technical leadership, collaboration, and project management to enhance platform scalability and reliability.

Lead and mentor a team in architecting and implementing a scalable AI platform infrastructure. Drive technical decisions, establish best practices, and ensure system reliability and compliance. Collaborate cross-functionally to optimize data pipelines and enhance platform performance.

As a Senior Software Engineer at Bloomreach, you will enhance search and personalization capabilities by designing new search algorithms and implementing machine learning models. You'll work on building and maintaining efficient data processing pipelines and collaborate with product teams to meet user needs. This role requires a focus on delivering high-performance search APIs for a seamless digital commerce experience.

As a Software Engineer, you will design, develop, test, and debug software components, focusing on scalability, security, and performance. Responsibilities include mentoring junior engineers, creating enterprise-class documentation, and working in an agile environment to deliver high-quality software solutions.

Design and develop Machine Learning/AI features for software solutions used by Fortune 100 companies. Involves full software development lifecycle including requirements analysis, coding, testing, and troubleshooting, working with cross-functional teams in an agile environment.

The Consultant for AI & Automation will assess customer infrastructures to identify gaps, develop automation solutions, maintain repositories of automation scripts, integrate AI and Machine Learning into workflows, and train models for task optimization. This role involves collaboration with IT teams to prioritize projects, document processes, and contribute to internal tools and frameworks while providing subject matter expertise.