Top Machine Learning Jobs in Delhi

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 Senior Software Engineer will collaborate in the Agile team to design, develop, and deploy Boomi products, focusing on AI/ML technologies. This role includes mentoring, investigating customer issues, and maintaining best practices for scalable, secure services. Candidates should have strong programming skills, experience with cloud technologies, and a willingness to learn new methods.

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.

The AI/ML Engineer will develop innovative software products utilizing AI and Machine Learning technologies. Responsibilities include training and optimizing models, applying NLP techniques, and using various tools for data visualization. Collaboration within agile teams to achieve client goals is essential, along with a commitment to ethical AI practices and data privacy.

As a Senior AI/ML Engineer, you will develop innovative AI solutions and products, utilizing various tools and frameworks to deliver customer-facing applications. You will work in an agile environment with a focus on defining and achieving client goals, ensuring products are built for optimal outcomes and timely delivery.

The Senior AI & ML Engineer will develop and deploy AI and ML models, collaborate with teams to design algorithms, and leverage data to enhance products and solve business challenges.

As a Software Engineer at Boomi, you will develop sophisticated systems based on customer needs, collaborate with Agile teams to deliver features, resolve customer issues, and mentor other engineers. You'll also research and recommend technology decisions for new features while ensuring quality through design and code reviews.

As a Senior Software Engineer at Boomi, you'll collaborate on the software development lifecycle, engage in design and deployment of products, and provide mentorship. You will investigate customer issues and champion new methods in AI/ML technologies while working in an Agile environment with a focus on building scalable services.

As a Staff Software Engineer specializing in AI/ML at Oportun, you will lead the development of ML infrastructure, manage critical projects, mentor engineers, collaborate with data scientists, and implement machine learning best practices. You will design scalable deployment strategies using containerization and CI/CD pipelines, ensuring high-quality machine learning solutions for financial services.

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.

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.