Top Machine Learning Engineer Jobs in Mumbai

The Senior Software Development Engineer in ML Operations will enable Machine Learning teams by optimizing the Machine Learning Development Life Cycle through tools and support. Responsibilities include collaboration in an Agile environment, mentoring, technical guidance, and addressing common pain points. The role focuses on building AI solutions and involves evaluating frameworks, technology, and processes to enhance business value.

The Lead ML Scientist role at Dream Sports involves developing and evaluating predictive models, designing scalable ML systems using TensorFlow/Keras/PyTorch, and driving experimentation and knowledge sharing. The candidate will own services, manage roadmaps while balancing resources, and collaborate with stakeholders for alignment on project goals.

As a Senior Machine Learning Engineer, you will design and implement advanced machine learning models to tackle business challenges such as user targeting and ad content generation. Collaborate with teams to develop scalable solutions, optimize model performance, and contribute to real-time systems.

As a Software Engineer III, you will design, develop, and deploy LLM models, create automated AI/ML pipelines, collaborate on requirements, optimize cloud infrastructure for model deployment, conduct data analysis, and communicate insights to stakeholders.

As a Software Engineer III, you will design and deploy LLM models and AI/ML pipelines, collaborate with cross-functional teams, optimize cloud infrastructure, conduct data preprocessing, and monitor deployed models. You will also communicate technical findings to stakeholders while staying updated on advancements in machine learning and NLP.

As a Senior Staff Machine Learning Engineer at Coinbase, you'll develop machine learning solutions for fraud detection and user experience enhancement. You'll leverage diverse data sources, implement cutting-edge methodologies, and increase the scalability of ML resources across the organization.

As a Senior Machine Learning Engineer at Coinbase, you will utilize advanced machine learning methodologies to tackle fraud detection, recommendation systems, and enhance user experience. Your role involves developing low-maintenance ML solutions and creating tools to democratize ML access within the company.

The Manager, Machine Learning will lead a specialized ML team at Databricks, managing hiring and developing customer relationships while overseeing key engagements. The role involves collaboration with R&D to influence product priorities, driving revenue and utilization, and embodying the company's cultural values.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development and delivery of scalable features and systems, ensure high standards of quality and performance, and collaborate with cross-functional teams. Your role includes monitoring system reliability, conducting code reviews, and continuously improving development processes while innovating with new technologies.

As a Senior Machine Learning Engineer at Atlassian, you will develop and implement cutting-edge machine learning algorithms, train complex models, and collaborate with teams to integrate AI features into Jira. Your role involves designing system architectures, conducting experiments, guiding junior engineers, and ensuring the practical application of AI within the product.

The Senior Data Scientist will lead the development of AI/ML solutions, drive innovation in technology domains, and design experiments while collaborating with the team to publish research and secure patents. Expertise in machine learning, deep learning, and AI is essential, alongside a strong understanding of related technologies.

As a Machine Learning Engineer, you will develop features and services using Python, applying machine learning and NLP techniques to analyze data and provide insights. Collaborating with product and engineering teams, you will automate processes for data management and stay updated on industry trends to contribute to best practices.

As a Fraud Modeling - Machine Learning Associate, you'll design and implement machine learning models and strategies for risk management. Collaborate with senior management and various partners while utilizing big data and cloud computing platforms to optimize model development and deployment.

The role involves designing and building scalable data and ML platforms, analyzing requirements, deploying cloud-native software, and managing software services in production. It requires taking ownership of projects and ensuring effective communication during development.

The Senior Data Consultant leads teams to deliver data-driven projects for clients, formulating strategies and action plans, managing project delivery, and building customer relationships. They are problem solvers and project managers, skilled in adapting to diverse missions and leveraging data to drive business impact.

As a Principal Engineer AI/ML at BrowserStack, you will design and develop data pipelines and AI models, work with data processing, lead AI initiatives, optimize model performance, and ensure compliance with AI ethics and regulations, while mentoring junior engineers.

The role involves owning the complete project lifecycle from design to deployment, investigating issues, building scalable platforms for Big Data and ML, and mentoring engineers. Candidates will work with AWS and GCP technologies alongside various distributed systems.