Top Machine Learning Jobs in Pune

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 Software Engineer will join the Fusion 360 team, focusing on developing AI/ML features. Responsibilities include Agile development, collaboration with teams, troubleshooting complex codebases, mentoring team members, and utilizing C++ and modern IDEs. The role emphasizes automation, customer success, and communication across distributed teams.

As a Senior Software Engineer at Autodesk, you will contribute to the Fusion 360 team, developing AI/ML features while working in an Agile environment. Responsibilities include mentoring team members, navigating legacy code, preparing code submissions, and collaborating with teams across multiple locations.

The Senior Software Engineer will develop AI/ML features for Autodesk's Fusion 360 software. The role involves collaborating in Agile sprints, working with legacy code, preparing code submissions, and mentoring team members while ensuring customer success.

The Senior Software Engineer will be part of the Fusion 360 team, contributing to AI/ML feature development, working in an Agile environment, and mentoring team members. Responsibilities include collaborating with cross-functional teams, maintaining complex codebases, and ensuring high-quality code through test automation and code reviews.

The Senior Software Engineer will develop scalable AI/ML systems, ensuring efficient model serving and deployment. This role involves mentoring team members, collaborating with researchers, and integrating cutting-edge AI/ML solutions. The engineer will also ensure compliance with data security standards and contribute to data-driven strategies for business challenges.

The Machine Learning Engineer will develop and enhance telecom products, focusing on anomaly detection and forecasting. The role involves implementing ML Ops lifecycle, deploying models using TensorFlow and PyTorch, and managing data processing in distributed systems with PySpark and Kafka. The engineer will work closely with cross-functional teams and optimize algorithms through hyperparameter tuning.

The Sr Machine Learning Engineer will lead the development and enhancement of telecom AI products, implementing machine learning solutions for anomaly detection, forecasting, and fraud detection. Responsibilities include guiding teams, managing software updates, overseeing model deployment, conducting algorithm experimentation, and integrating systems into SaaS platforms.

In this role, as a Senior Machine Learning Engineer, you will design, develop, and implement machine learning models, optimize them for performance, and integrate solutions with business workflows. Collaboration with data scientists and mentoring junior engineers are key responsibilities, alongside deploying models to production and monitoring their performance.

As a Machine Learning Researcher at Arkose Labs, you will develop ML and deep learning models to detect and prevent security threats. Responsibilities include conducting data analysis, collaborating with teams, staying updated on advancements, and communicating technical concepts to stakeholders effectively.

In this role, you'll design and implement data models to identify patterns, improve AI malware detection models, and collaborate with the AV Engine team to optimize datasets. You will conduct quantitative analyses for actionable insights and perform ETL processes with strong database skills.

The Senior Site Reliability Engineer (SRE) will design, build, and maintain large-scale systems for data science and ML applications, focusing on reliability, scalability, and performance. Responsibilities include developing automation, enhancing operational maturity, and implementing SRE principles to ensure system reliability and observability.

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 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.