Top Machine Learning Jobs in Kolkata

Lead and manage a team to build a scalable ML platform at Coinbase, focusing on Language Models for an open financial system, while mentoring engineers and ensuring high quality architecture and processes.

As a Senior Staff Machine Learning Engineer, you will develop advanced machine learning solutions, enhance cryptocurrency access, and improve user experience with innovative technologies.

The Senior ML Data Platform Engineer will architect scalable data systems, deliver ML solutions, and collaborate with cross-functional teams to enhance the MLS data platform.

The Software Engineer in Machine Learning will build and optimize machine learning systems, evaluate performance, and collaborate with cross-functional teams to enhance fleet safety technology.

The Senior Software Engineer will discuss and research features, write code and documentation, and engage with the community on platforms like GitHub and Discord. Strong Python skills and excellent communication are essential.

Lead development of a multi-agent AI infrastructure for financial institutions, focusing on custom AI orchestration, real-time systems, and architectural best practices.

As a Senior Backend Developer, you will design, develop, and maintain backend systems for AI solutions, manage data integration, and implement security measures.

As a Senior Machine Learning Engineer, you will solve NLP problems, optimize models, and deploy scalable production NLP pipelines in a collaborative environment.

The Staff Machine Learning Engineer will design, build, and deploy scalable ML systems, lead ML initiatives, and mentor engineers to enhance AI capabilities at Apollo.io.

The AI Prompt and Quality Engineer is responsible for monitoring AI Chatbot responses, resolving quality issues, tuning models, analyzing data, and improving processes.

Lead the development of AI/ML models and pipelines, mentor teams, drive innovation in NLP and computer vision, and manage project delivery.

As a Data Engineer, you will design and maintain data pipelines and infrastructure, ensuring efficient data delivery and collaborating with teams for requirements analysis, testing, and continuous improvement.

The Staff Software Engineer in Machine Learning will build foundational components for ML models, mentor junior engineers, optimize data pipelines, and enhance infrastructure for low-latency, high-availability ML solutions.

The Senior Machine Learning Engineer will design, build, and deploy scalable ML systems, focusing on enhancing user experiences through data analysis and model optimization.

As a Senior Machine Learning Engineer at Coinbase, you will build scalable ML infrastructure, develop solutions, and democratize ML resources across teams, focusing on user experience and security.

Lead a distributed team managing core features of the Goodnotes iOS application, ensuring high-quality delivery, mentoring staff, and contributing to technical strategy.

Develop high-quality full-stack applications while designing APIs, microservices, and leveraging AI tools to improve efficiency. Collaborate within a remote team environment.

As a Machine Learning Engineer, you'll develop and deploy machine learning models to enhance credit decisions, automate customer service, and prevent fraud while collaborating across teams to drive innovation.

As a Machine Learning Engineer, you will design, deploy, and maintain ML systems while collaborating with product and engineering teams to analyze business requirements and build scalable solutions.

The Sr. ML Engineer will develop LLM solutions, optimize ML pipelines, mentor SMEs, and influence product strategies collaboratively.

As a Software Engineer (AI), you'll develop applications that utilize machine learning, particularly integrating large language models, while collaborating with backend and ML teams.

Lead the development of ML infrastructure, mentor engineers, collaborate with data scientists, and ensure successful model deployment and project delivery.

The Associate Principal Engineer in Machine Learning will lead ML projects, design solutions, create pipelines, and ensure quality implementation while collaborating with teams and stakeholders.

The Staff Engineer, Machine Learning will design and deploy ML pipelines, analyze client requirements, and ensure effective collaboration across teams with an emphasis on NLP and MLOps.

The role involves developing autonomous AI products, working with LLM fine-tuning, integrating AI models, and staying current with AI advancements.