Top Machine Learning Jobs in India

The Director will lead data science efforts to derive insights from large datasets, enhance data products, and improve data science methodologies, while collaborating with various teams at Gartner.

As a Senior Data Analyst, you will enhance self-service analytics, support Sales and Marketing teams, implement AI/ML techniques, and promote user empowerment in data analysis.

Seeking a Lead BI Engineer to develop data visualization solutions using Power BI, integrating AI capabilities, and managing BI projects from design to delivery, ensuring effective data modeling and collaboration.

Lead Six Sigma (Black Belt) projects using DMAIC to drive quality, efficiency, cost reduction, and improved customer experience. Manage cross-functional initiatives, run deep-dive workshops, perform statistical analysis, deliver findings for decisions, coach/train belts, and drive sustainable change across the organization.

The Director of Marketing will drive growth and awareness for Accelerate, an AI-led ad platform for SMBs, through multi-channel strategies, events, community engagement, and influencer activations. Responsibilities include funnel optimization, event leadership, and partner collaborations to enhance brand presence and adoption.

The CAE Analyst is responsible for conducting structural and thermal analysis, fatigue life calculations, and solving complex FEA problems to support appliance product development at GE Appliances.

Lead site-level process excellence and continuous improvement initiatives using LSS; drive customer experience and operational metrics, identify automation opportunities, coach teams, and liaise with stakeholders to deliver transformational value.

The role involves developing and integrating ML and Generative AI solutions, collaborating with cross-functional teams, and optimizing AI pipelines at scale.

The Sr Data Engineer will develop ML solutions, lead teams, manage projects, and ensure quality while mentoring junior developers.

As a Data Scientist, you will develop AI solutions, analyze data, collaborate with teams, and identify AI business opportunities, impacting global workflows.

Lead the development of AI-driven solutions, innovate, and implement strategies in machine learning, mentor scientists, and collaborate across functions.

The Senior QA Engineer will develop and maintain automation frameworks using Java, Selenium, and REST Assured, focusing on AI integration and data validation for effective testing.

Responsible for generating new revenue by opening new accounts in the mortgage industry, driving pipeline creation, and closing enterprise deals.

The Engagement Manager will drive business analytics for CPG clients, leading workshops, managing cross-functional teams, and developing consulting frameworks while liaising with senior stakeholders.

The Engagement Manager will drive business-analytics execution, lead client workshops, develop strategic recommendations, manage client relations at a senior level, and contribute to organization building through mentoring and training.

The Principal Software Engineer will define architectural strategy, solve complex technical challenges, mentor teams, and guide future platform development at Loop AI.

The role involves developing and automating applications in the automotive industry, providing customer support, leading application development, and collaborating with various teams to implement solutions.

The role involves developing competitive intelligence, responding to RFPs, collaborating with engineering, ensuring regulatory compliance, and enabling partners in the cybersecurity domain.

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.