Top Machine Learning Jobs in India

Lead the design and implementation of scalable architectures for CloudSEK's platform, guiding a team of engineers and ensuring code quality and security.

The Data Scientist will analyze and model data for ML systems, focusing on Personalization and Recommendation Engines, and collaborate with teams to enhance data-driven solutions.

The Director will lead a team of Data & AI specialists, overseeing technical support and ensuring successful customer operations on the Databricks platform.

As an ML Engineer, you will design, experiment, and deploy AI/ML models, evaluate their performance, and leverage Python and SQL.

The Senior Director will lead K2View's global partnerships, drive pipeline growth, and design go-to-market strategies with GSIs and technology partners.

Lead development and productionization of LLM and GenAI solutions using LangChain, fine-tuning, and RAG. Write PEP8-compliant Python, containerize with Docker, ensure production-quality code and testing, apply ML/DL methods (e.g., XGBoost, K-means), and support deployments via terminal and version control.

Lead design and delivery of production-grade AI/ML solutions for healthcare, focusing on NLP/LLM, RAG, time-series forecasting, model lifecycle management, deployment, optimization (quantization), and mentorship of engineering teams.

The role involves building and refining ML platforms, scaling algorithms, implementing MLOps, collaborating with client teams, and ensuring code quality.

The Senior Technical Product Manager defines the vision and roadmap for a Generative AI/ML platform, collaborating with teams and managing agile product delivery while excelling in hands-on technical contributions and leadership.

The role involves leading complex engineering programs, managing project timelines, stakeholder communications, and driving product success through a collaborative approach.

Design, build, and launch efficient machine learning models while monitoring system health and performance, ensuring scalability, and collaborating with cross-functional teams.

As an AI Engineer at TTBS, you will be responsible for developing and implementing AI solutions to enhance business digitalization and connectivity.

Lead the design and implementation of Hyperautomation solutions, collaborate with stakeholders, enforce architectural standards, optimize performance, and mentor junior architects.

The Senior IT Business Analyst will specialize in Hyperautomation, AI, and ML, collaborating with stakeholders to implement automation solutions and optimize business processes.

The Analytics Manager will lead data-driven initiatives supporting business growth, manage shipping-related reporting, and develop analytics solutions using SQL, Power BI, and Machine Learning.

Lead the strategy and execution for recommendation systems, cross-promotion, and ads monetization initiatives to enhance user growth and revenue.

Lead a team of applied scientists and ML engineers in developing machine learning models, overseeing fine-tuning of foundation models, and collaborating across functions to implement AI solutions effectiveness.

A seasoned professional responsible for business development and pre-sales in IT solution services, proposing AI/ML solutions, managing proposals and client engagements, and developing strategies.

Lead the development of a talent ecosystem focused on AI fluency and continuous learning, partnering with leaders for capability roadmaps and deploying enterprise-level learning programs.

Seeking a Director for Finance AI & Automation to transform finance functions through AI and automation, partnering with CFO and CIO to enhance workflows and business architecture.

Research Engineers will advance AI science, develop AI techniques, and collaborate across teams to enhance ASAPP's products using real-world data.

As a Demo Engineer, you support pre-sales by designing AI-driven demos and proof of concepts, collaborating closely with teams to showcase Cresta's capabilities.

As a Senior Software Engineer (Machine Learning), you will design scalable services, develop LLM-driven agents, and enhance the developer experience in a product-driven environment.

The Solution Architect designs and develops AI-native solutions, leads technical delivery, engages clients to understand their needs, and mentors junior staff while ensuring high-quality architecture and compliance with enterprise standards.

As a Principal Solutions Architect, lead the design of complex architectural solutions, collaborate on product development, and ensure alignment with enterprise architecture standards while fostering an innovative environment.