Top Machine Learning Jobs in Kolkata

As a Cloud and Platform Engineer at McAfee, you will develop scalable ML model pipelines and collaborate with Data Scientists to optimize and automate model workflows. Your role involves managing big data, constructing infrastructure in the cloud, and improving threat protection capabilities.

As a Lead ML Engineer at Traceable, you will work with data scientists to build machine learning models and pipelines. Your role involves data preparation, collaboration on model design, running A/B tests, and evaluating new machine learning innovations. Strong programming skills and experience with big data technologies are essential.

As a Senior Machine Learning Scientist at GoDaddy, you will design, build, and maintain systems for their search/ML/GenAI platform, improving customer experience through advanced machine learning models. You'll analyze data, develop features, and conduct experiments to enhance search relevance and personalization.

Lead the machine learning efforts for GoDaddy’s domain search team, focusing on building foundational ML services and enhancing user experiences through collaboration and project management. The role involves overseeing ML methodologies and the performance of the ML platform.

As a Machine Learning Engineer at Pythian, you will focus on building and optimizing machine learning pipelines, deploying models to production, ensuring scalability and reliability, integrating machine learning models, and collaborating with cross-functional teams. Responsibilities include designing and maintaining ML pipelines, deploying models, optimizing performance, integrating with cloud platforms, implementing monitoring systems, and staying updated on ML advancements.

The Senior Machine Learning Engineer will lead the development of ML infrastructure, responsible for model training to deployment, and will work on creating scalable ML pipelines. Responsibilities include collaborating with data scientists, mentoring junior engineers, and implementing CI/CD processes for effective ML workflows.

As a Senior Machine Learning Engineer at Oportun, you will lead the development of ML infrastructure, mentor junior engineers, collaborate with teams to translate model requirements, and ensure best practices for model deployment and performance. You will also define benchmarks and optimize the ML ecosystem, driving innovations that enhance the financial services offered by Oportun.

As an ML Ops Engineer, you will set up and support ML bot inference, build scalable clusters, establish CI/CD for ML solutions, and improve inference logic for machine learning tasks.

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.

As a Senior Machine Learning Engineer, you will lead the development of advanced ML infrastructure, from model training to deployment, mentor junior engineers, and collaborate with teams to provide impactful solutions. Your expertise will drive architectural decisions and oversee critical projects, ensuring high-quality outcomes and efficient model deployment.

As a Senior AI/ML Engineer, you will design, implement, and maintain machine learning algorithms and systems, collaborate with cross-functional teams, and integrate AI models into existing applications. You will advocate for best practices within the team while working in regulated environments, and ensure smooth operations by developing RESTful APIs and CI/CD pipelines.

As a Senior ML Engineer, you will lead projects concerning communication activities and machine learning for core business tasks. You will be responsible for developing ML models, collaborating with cross-functional teams, and sharing knowledge within your team. Your role involves ensuring projects progress from data to production while leveraging various ML tools and technologies.

The ML Engineer will design, implement, and deploy ML models focused on dynamic pricing and personalized recommendations. They will manage data pipelines, collaborate with teams for strategic solutions, and create algorithms to optimize consumer interactions while ensuring scalability and performance of models.

The role involves collaborating with data scientists and ML engineers to build and maintain backend systems for machine learning models. Responsibilities include designing APIs, optimizing backend infrastructure for ML workloads, and managing CI/CD pipelines to ensure efficient deployment and operation of services.

The Principal Software Engineer will collaborate on the software development lifecycle, focusing on the design, development, and deployment of Boomi products. Responsibilities include mentoring team members, resolving complex issues, and ensuring best practices in code reviews, all within a fast-paced Agile environment.

As a Software (ML Product) Engineer, you will enhance the user experience of ML tools by optimizing workflows and processes. You will collaborate with technical product managers, contribute to defining efficient ML practices, and improve DVC, an open-source tool for machine learning. A strong background in deep learning and system design is necessary to transform current workflows and engage with the ML community.

As a Senior AI/ML Engineer at WEX, you will design, implement, and maintain machine learning algorithms and systems, collaborate with engineering teams to integrate AI models, manage version control and implement CI/CD pipelines, and communicate complex solutions to varied stakeholders.