Top Machine Learning Jobs in Delhi

The Senior Software Engineer will collaborate with Agile teams to design, develop, test, and deploy products and services, focusing on AI and ML technologies. Responsibilities include mentoring team members, investigating complex issues, and staying updated with industry developments. They will work independently and participate in code reviews, ensuring best practices and high-quality service delivery.

As a Principal Software Engineer at Boomi, you will collaborate in an Agile team to design, develop, and deploy Boomi products and services. You will mentor team members, resolve complex customer issues, and recommend technologies to enhance the platform. Additionally, you will conduct code reviews, ensure best practices, and keep up with new developments in AI/ML.

As a backend software engineer, you will collaborate with an Agile team to design, develop, and deploy products focusing on AI and ML. You will ensure code quality through reviews, investigate complex customer issues, and continuously learn about new technologies while contributing to the development lifecycle.

As a Principal AI Engineer, you will design, develop, and deploy AI solutions to solve complex business problems, manage data sets, and collaborate with stakeholders to ensure solutions meet business needs while maintaining high-quality standards.

As a Senior Pre-Sales Solutions Architect, you will partner with sales and customer success teams to align Udacity's offerings with business outcomes for Global 2000+ clients. You will leverage technical expertise in AI, ML, data science, and cloud computing to address client needs, articulating value propositions and supporting revenue growth through technical and functional initiatives.

As a Software (ML Product) Engineer at iterative.ai, you will enhance user workflows for DVC, collaborate with technical product managers, and improve MLOps practices within ML teams. Responsibilities include optimizing the tool’s usability and driving projects like dvclive, emphasizing software engineering skills and communication.

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.

Transform proof-of-concept AI/ML projects into full-scale production applications. Collaborate with cross-functional teams to develop and deploy scalable machine learning models, integrate diverse data sources, and optimize performance while ensuring code quality and maintaining systems.

The SW Systems Engineer will innovate and define user experience for AI-driven network management, leading the software development lifecycle to create data mining, machine learning, and networking solutions. Responsibilities include driving strategic innovation, conducting design and code reviews, and deploying high-performance systems.

The Lead AI/ML Engineer will design AI/ML strategies and standards, mentor team members, and engage in development processes including model deployment in AWS services. Responsibilities include risk management, code reviews, and development of reusable libraries.

The Data Annotator role involves accurately extracting, annotating, and quality controlling data from trade and financial documents. Responsibilities include using OCR tools, correcting data extraction errors, and collaborating with teams to improve automated processes. This position contributes to enhancing data accuracy and operational efficiency.

The Software Developer I will design, develop, and implement software products for business projects, collaborating with teams and stakeholders. Responsibilities include coding, testing, quality assurance, and maintaining documentation while staying updated on new technologies and best practices.

As a Senior Software Engineer at ABBYY, you will drive the end-to-end development of features and systems, ensuring high quality and performance. You will collaborate with cross-functional teams to deliver solutions, continuously improve the codebase, and monitor system reliability while staying current with industry trends.

As a Developer Relations Engineer, you will grow a global community of developers, create technical content, advocate for developers’ needs, enhance developer experience, and represent the company at events. Your role focuses on building engagement and facilitating the use of our products.

The AI/ML and MLOps Field Engineer at Canonical will assist global companies in adopting AI using open source technologies on cloud infrastructures, primarily focusing on Linux and Kubernetes. Responsibilities include architecting cloud solutions, engaging in customer interactions, and solving complex data architecture problems using various data technologies.