Top Machine Learning Jobs in Delhi

As a Senior Machine Learning Engineer, you will develop and deploy ML models for business use cases, mentor team members, and collaborate in shaping the ML ecosystem, impacting sales and customer satisfaction at Zoom.

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.

As a Machine Learning Engineer at Coinbase, you will leverage cutting-edge methods like deep learning and large language models to improve fraud detection and user experience. You'll build scalable machine learning solutions and create tools for democratizing access to ML resources while working closely with various teams to strengthen the company's platform.

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 ML Engineer at Databricks, you will develop and optimize LLM solutions, build scalable data science workloads, and mentor other ML professionals. You will also collaborate with product and engineering teams and present your work at conferences.

The Manager, Machine Learning at Coinbase will lead a team to expand and implement ML solutions, focusing on multi-cloud platforms and LLM integration. Responsibilities include hands-on coding, strategic planning, coaching team members, collaborating across departments, and delivering quality products amidst industry volatility.

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.

Lead the design and implementation of data architectures, develop data pipelines, manage databases, oversee data quality and governance, provide mentorship and leadership, collaborate with stakeholders, and monitor performance for a digital banking platform.

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 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.

In this role, you will identify business opportunities for machine learning, define strategies, improve existing models, and produce machine learning models while balancing performance and memory requirements. You will guide and mentor junior team members and stay updated with machine learning advancements.

The Senior Machine Learning Engineer will design, build, evaluate, deploy, and iterate on scalable Machine Learning systems. Responsibilities include developing data pipelines, implementing monitoring features, writing tests, and collaborating with stakeholders to enhance the user experience across Apollo's products.

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 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.

The Sr SW Systems Engineer will lead the software development lifecycle for innovative data mining solutions, engage in design and implementation, and drive forward both technical and strategic discussions. They will work on AI-driven network management and contribute to enhancing user experience and product quality through experimentation with new technologies.

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.