Top Machine Learning Jobs in India

The Lead Software Engineer will build backend services for AI features, integrate generative AI technologies, ensure quality, and collaborate with teams while mentoring junior engineers.

Lead AI/ML Engineer responsible for developing and implementing machine learning solutions, managing teams, ensuring compliance, and driving innovation in healthcare applications.

Seeking a Senior Cloud Support Engineer with expertise in Kubernetes and AI/ML to resolve complex customer challenges and design cloud solutions. Responsibilities include technical leadership, customer impact, organizational leadership, and mentoring junior engineers.

The role involves architecting LLM applications, designing RAG pipelines, optimizing models, developing APIs, and collaborating with teams to enhance Crunchyroll's services.

The role involves designing and implementing machine learning tools for data analysis, developing pipelines for various sensor datasets, and integrating applications into verification ecosystems while guiding junior engineers.

Seek an experienced Enterprise Sales Representative to sell IGA Solutions to organizations, engaging with C-level in a lengthy sales cycle using the Challenger sales methodology.

Lead and mentor a data science team, develop ML solutions, drive AI/ML initiatives, ensure model performance and fairness, and foster innovation.

The role involves maintaining and optimizing ML infrastructure, diagnosing complex issues, performing system optimization, and collaborating with engineers to resolve workflow issues.

Build and deploy production-grade ML/LLM solutions for ad targeting, ranking, pacing, personalization, and creative intelligence. Design low-latency ML lifecycles, operate services at scale, integrate agentic LLM workflows, optimize inference, monitor model performance, and mentor engineers.

Lead research and development of advanced AI/ML models, fine-tune LLMs, design agentic systems, prototype algorithms, optimize training and deployment pipelines, integrate solutions into production, ensure ethical AI, and mentor junior researchers.

The Machine Learning Operations Engineer will develop and maintain AI systems, focusing on production-grade ML infrastructure, including APIs and CI/CD pipelines, while ensuring the reliability of deployed ML services.

The Lead Machine Learning Engineer designs and builds ML systems for data processing, utilizing NLP, LLMs, and cloud services to innovate AI solutions and lead cross-functional teams.

Develop and implement scalable ML platforms and infrastructure for threat detection, optimizing performance and resource utilization in large-scale distributed systems.

Design and automate forecasting and optimization models for contact center workforce planning. Build scalable Python pipelines, integrate optimization solvers, run scenario analyses, and present insights to leadership to align staffing, budgets, and service-level targets.

Lead the design and delivery of AI/GenAI solutions, mentor teams, define architecture standards, and integrate various technologies for performance and scalability.

Lead the design and delivery of enterprise AI solutions, overseeing architecture, mentoring teams, and ensuring compliance with standards and best practices.

Lead the architecture and implementation of GenAI-powered banking platforms using Java and Python. Must mentor, influence strategic decisions, and integrate AI services into enterprise systems while ensuring compliance in a regulated environment.

Develop applications utilizing AI tools and Cloud AI services. Design production-ready solutions, integrate generative AI models, and collaborate in innovative projects.

The AI / ML Engineer develops AI applications and systems, utilizing Cloud AI services and generative models, to produce reliable and optimized solutions.

As an AI / ML Engineer, develop AI applications and cloud services, ensuring high-quality solutions and integrating generative AI models while leading a team and mentoring others.

As an AI / ML Engineer, you will design and build AI applications, integrate models, and optimize workflows for production-ready environments, collaborating with teams to meet project goals.

As an AI / ML Engineer, you will develop applications using AI tools and cloud services. You will create production-ready solutions and may work on chatbots and image processing. Collaboration is key as you contribute to innovative AI solutions and enhance team capabilities.

The AI / ML Engineer develops and manages AI applications using cloud services, integrating generative models, and leading technical teams to ensure solutions meet production standards.

As an AI / ML Engineer, you will design and build AI applications, manage team collaboration, and ensure production-ready solutions, focusing on generative AI technologies and scalable pipelines.

The AI/ML Engineer will develop and implement AI systems, lead teams, and mentor junior members, utilizing various digital tools and cloud services.