Top Machine Learning Jobs in Pune

Looking for a skilled Senior Staff Engineer in Machine Learning with over 10 years of experience, specializing in NLP, machine vision, and AI. Responsibilities include designing technical solutions, reviewing architecture, and ensuring best practices in project implementation.

The role involves platform engineering focusing on real-time ML deployment, data pipeline development, and CI/CD automation. Responsibilities include designing scalable infrastructure and collaborating with teams to optimize workflows.

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.

The Staff ML Engineer will lead the development and deployment of machine learning infrastructure, mentor a team, and collaborate on advanced solutions for clients, ensuring high standards and optimal performance.

Design and build self-serve platforms for real-time ML deployment and data engineering workflows using various advanced technologies while collaborating across teams to meet business goals.

The Senior ML Engineer will lead the development of ML infrastructure and solutions, mentor junior engineers, and collaborate with diverse teams to deliver advanced machine learning models.

Lead the data science team, develop and deploy machine learning solutions for predictive maintenance, and implement best practices in analytics and CI/CD.

As a Senior Machine Learning Engineer, you will develop and deploy ML models, mentor engineers, and collaborate on ML ecosystem design to drive sales and customer satisfaction.

Develop and deploy machine learning models focusing on drivers' safety using deep learning frameworks, cloud deployment, and collaborative efforts with developers.

The AI/ML Developer will create, deploy, and maintain AI and machine learning models using Python, cloud services, and various big data technologies.

Develop and implement AI/ML models to solve business problems, ensuring production deployment, reliability, and data analysis. Collaborate with teams and manage project blockers.

As a Machine Learning Engineer, you will develop and optimize machine learning models, collaborate with teams to implement AI features, and process large datasets for improved model performance.

The ML Ops Engineer will set up and support ML bot inference in live environments, implement CI/CD for ML solutions, and enhance ML inference logic.

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

The ML Engineer will develop and deploy machine learning models, analyze data, collaborate across teams, and ensure high data quality for AI solutions.

The Senior Machine Learning Engineer will build and deploy advanced analytics solutions, mentor junior engineers, and drive process improvements within an agile team.

As a Senior AI/ML Engineer, you will develop and implement AI/ML solutions, collaborate with teams, and mentor junior engineers while optimizing models for improved business outcomes.