Top Machine Learning Jobs in Delhi

As a Machine Learning Engineer at Typeface, you will be responsible for building machine learning models/systems and innovative web applications that deliver the power of Generative AI to customers. You will work on generating brand-affinitized, hyper-personalized, and safe content.

Collaborate with data scientists and machine learning engineers to build backend systems, design and implement APIs, optimize backend infrastructure, and maintain CI/CD pipelines for automated testing and deployment. Requires 5+ years of experience in commercial software development with strong analytical skills and familiarity with microservice architecture.

The ML Engineer will be responsible for conceptualizing, designing, and implementing ML models for dynamic pricing strategies and personalized product recommendations. They will work on data pipelines, develop and deploy machine learning models, and collaborate with cross-functional teams to align solutions with strategic objectives.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure and collaborate with diverse teams to deliver impactful solutions. Responsible for architecting and deploying ML models, propelling products to new levels of success.

We are looking for a Rust Engineer to contribute to our groundbreaking Hiveon ASIC Firmware product, revolutionizing the world of ASICs with innovative and game-changing solutions of our firmware.

As a Software Engineer on our ML Product team, you will be responsible for defining and improving the workflow of our open-source machine learning tools. You will work closely with technical product managers and have hands-on experience in deep learning. Strong communication and software engineering skills are required.

As an Engineering Manager at Turing.com, you will lead a team of talented engineers, drive technical vision and execution of complex projects, and foster a culture of continuous improvement and excellence. Key responsibilities include leading innovation efforts, managing project allocation, optimizing development processes, and identifying high and low performers in teams. Requires strong leadership in Python with Python expertise and experience in Computer Vision (CV) as a plus.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment, in a fintech company. Responsibilities include implementing cutting-edge ML infrastructure, providing technical leadership, mentoring junior engineers, and collaborating with diverse teams to deliver high-quality ML solutions in the FinTech industry.

Seeking a highly skilled Senior Machine Learning Engineer to lead the development of ML infrastructure, from model training to deployment. Responsibilities include implementing ML infrastructure, providing technical leadership, mentoring a team of engineers, collaborating with data scientists, and establishing best practices for model deployment.

Seeking an experienced Recruiter to join the Talent acquisition team at Tiger Analytics, an advanced analytics consulting firm. Responsibilities include end-to-end recruitment processes, candidate relationship management, collaboration with hiring managers, job posting and advertisement, interviewing and evaluation, and data management. Requirements include 4+ years of in-house or consulting recruitment experience, experience in hiring data analytics-related roles, knowledge of Europe/UK hiring, and strong communication skills.

Develop and maintain the ASIC Hub application, ensuring seamless communication with devices within the local network. Implement robust TCP/UDP communication protocols to facilitate efficient data exchange. Design and write system monitoring solutions tailored to the unique requirements of the mining industry. Collaborate closely with a team of Go Engineers, sharing knowledge and expertise to drive the project forward. Engage in data-driven development, managing and optimizing the flow of large datasets.

Looking for a Machine Learning Engineer with 6+ years of experience in AI and Machine learning to build efficient, data-driven artificial intelligence systems. Responsibilities include designing, developing, testing, and deploying machine learning models, collaborating with cross-functional teams, optimizing model performance, and staying updated on the latest ML technologies.

Design and develop innovative ML-powered product capabilities, work through the entire feature lifecycle, collaborate with the team, and contribute to identifying and solving technical challenges around data streams.

Canonical is hiring an AI/ML and MLOps Field Engineer to help global companies embrace AI in their business using open source capabilities on public and private cloud infrastructure, Linux, and Kubernetes. The role involves working with enterprise customers to solve real-world problems and enable the adoption of Ubuntu, Kubeflow, MLFlow, Feast, DVC, and related technologies.

Seeking a talented Senior Generative AI Engineer with experience in developing and training Generative AI models. Responsibilities include implementing advanced machine-learning algorithms and models to enhance the platform's capabilities. Must have proficiency in Python and hands-on experience with machine-learning models.