Top Machine Learning Jobs in India

Analyze large datasets, build and maintain ETL pipelines, design Power BI dashboards and reports, query and optimize Snowflake data, ensure data quality and governance, and apply AI/ML tools to enhance analytics and automation.

Design, deliver, and operationalize LLM- and generative AI-driven platform services. Build scalable model-serving, orchestration, MLOps, observability, data lineage, and evaluation frameworks to productionize multi-step automated workflows.

Support the data science team by collecting, cleaning, and analyzing data; perform EDA; develop and test ML models; write SQL; use Python and libraries for preprocessing and feature engineering; build dashboards; document findings; automate reporting; and collaborate cross-functionally while learning best practices.

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

This role involves designing, building, and scaling a Data+ML platform, collaborating on machine learning pipelines, and incorporating cloud services for deployment and execution.

Build, operate, and improve end-to-end Agentic AI/ML pipelines and a map compilation platform for HD maps. Implement scalable CI/CD/CT for ML, design fault-tolerant orchestration, deploy containerized models in cloud-native environments, monitor model performance and data drift, manage model lifecycle/versioning, drive IaC and cloud reliability, and collaborate on architecture and incident resolution.

Design, implement, and optimize enterprise search solutions using Elasticsearch; manage clusters, replication, sharding, backup/recovery; develop semantic search with BERT-based models; improve relevancy through role-based indexing and boosting; integrate search with knowledge management tools; monitor performance for scalability and observability; collaborate with cross-functional teams.

The role focuses on optimizing power plant performance through data analysis and software solutions, involving machine learning and system integration.

The Customer Segment Leader will manage a team, drive business development, establish senior-level connections, and deliver revenue targets, focusing on government clients in IT.

The Customer Segment Leader for the Government Sector will manage teams and drive business development while establishing senior connections to meet revenue goals and maintain excellent service delivery.

The candidate will lead a team, develop business strategies for government clients, drive revenue, and manage stakeholder engagement.

The ROR Developer will focus on software engineering practices, design, data structures, algorithms, and deliver projects with responsibility, while keeping pace with industry trends.

The Data Scientist will leverage critical thinking and data analysis skills to develop Machine Learning models for detecting financial crime risks and synthesizing data requirements.

Lead marketing operations and strategy for IT Services. Collaborate with sales, generate leads, manage creative teams, and build brand awareness.

Teach an online graduate course on Generative AI covering techniques (AutoML, prompt engineering, AI assistants), workflow automation, human-AI interaction, AI strategy, governance, risk management, and hands-on prototyping using no-code/low-code tools to build dashboards, workflows, and enterprise AI solutions.

Lead Flutter platform architecture to power thousands of dynamically rendered mobile apps. Design modular widget libraries, state management, native integrations, performance optimizations, CI/CD and testing frameworks. Build real-time social commerce, personalization, offline-first sync, analytics, and developer tools while mentoring teams and driving Flutter ecosystem adoption.

Lead regional sales for engineering software in Gujarat: define territory strategy, own full sales cycle, build enterprise accounts in construction, manufacturing, EPC and OEMs, manage and mentor regional sales team, deliver demos/proposals, and maintain forecasts and CRM reporting.

Design and own end-to-end solution architectures, translate requirements into technical designs, evaluate technologies, define integrations, guide development and DevOps teams, conduct reviews and POCs, support pre-sales, and ensure compliance with ISO standards.

Lead analytics function: define data strategy, ensure data quality, perform advanced statistical and ML analysis, build dashboards (Tableau/Superset/Power BI), provide actionable insights to stakeholders, collaborate across growth/risk/CRM/product, and drive continuous improvement in analytics practices.

Lead end-to-end sales for AWS-based data and analytics solutions in the Indian BFSI market. Identify and pursue net-new opportunities, engage stakeholders, collaborate with AWS partners, and deliver consultative solution selling to meet revenue targets.

Drive sales of CCTech digital transformation solutions to AEC, construction, and infrastructure clients. Prospect and manage pipeline, conduct discovery and solution positioning, support pre-sales workshops and proposals, collaborate with engineering teams, and develop strategic accounts focused on BIM, digital twin, automation, analytics, and enterprise integrations.

Lead end-to-end sales in the Indian BFSI market, driving net-new AWS-centric data and analytics opportunities. Leverage AWS Partner ecosystem, build stakeholder relationships, collaborate with pre-sales and delivery teams, and deliver consultative solution selling to achieve revenue targets.

Design, develop, and deploy machine learning and optimization solutions. Build end-to-end data science pipelines (data prep, training, validation, deployment), implement MLOps for monitoring and versioning, and deploy scalable models on Azure or Oracle Cloud. Collaborate with engineering, product, and business teams, translate requirements into analytics solutions, and ensure data quality, reproducibility, and model performance. Mentor juniors and lead projects, with a preference for manufacturing or supply chain use cases.

Design and lead enterprise-wide solutions integrating applications, data, and infrastructure across AECO, manufacturing, and infrastructure. Define interoperability for GIS, ERP, PLM, IoT, and digital twin; lead cloud migrations and platform modernizations; specify APIs, ETL, and event-driven integration; align processes and data models with business goals; engage CXO stakeholders, mentor teams, and govern standards, security, and compliance.