Top Machine Learning Jobs in India

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

Evaluate and author high-quality computer science content to improve AI model reasoning and accuracy. Analyze complex CS problems, create scenarios/datasets, review AI outputs for correctness, and collaborate remotely to refine guidelines and documentation.

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.

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.

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.

Lead the 0-to-1 development of an AI-first CRM for credit unions: define vision and roadmap, perform customer research, write requirements and user stories, drive AI/ML feature integration, lead engineering and design through launch, and measure product success using data.

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.

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

Support delivery of APC projects: analyze plant data, develop and configure APC applications, assist commissioning and troubleshooting, implement IIoT and digital solutions, and provide post-commissioning support while collaborating with site teams.

Lead product management for data & analytics solutions in Sustainability, coordinating with stakeholders and ensuring successful implementation and enhancement of solutions.

Lead the product management for data & analytics solutions, coordinating between business stakeholders and IT to deliver scalable, high-value solutions and ensuring ongoing enhancement and user adoption.

As a Data Scientist, you will drive data science initiatives, develop algorithms and models, and collaborate with stakeholders to enhance business performance, focusing on creating data-driven solutions and optimizing decision-making processes.

Lead product management for data & analytics solutions in Sales & Finance, coordinating between stakeholders and IT for scalable solution designs while overseeing implementation and enhancements.

Lead product management for data and analytics solutions in Supply Chain Management. Coordinate with stakeholders, conduct implementation, manage adoption, and enhance solutions based on business needs.

Lead global controllership and Record-to-Report operations, ensure US GAAP/SOX compliance, drive month/quarter close, mentor finance team, and champion AI/RPA-led finance transformation to improve controls, automation, and reporting.

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 the ML function for InMobi by architecting and building production machine learning systems, optimizing marketing spend, and driving performance in ad-tech.

Own Accelerate's measurement, optimization, and data intelligence: define attribution frameworks, build the optimization engine, govern the data stack, shape AI-first measurement experiences, evaluate measurement partnerships, and lead cross-functional execution as a senior product leader.

Design, build, and scale AI/ML solutions using statistical and deep learning methods. Conduct research, architect models, implement production code, mentor junior engineers, collaborate with cross-functional teams, and translate business requirements into deployable AI systems.

Lead product strategy and roadmap for AI-powered Digital Assistant across quote-to-cash workflows. Translate business needs into product requirements, collaborate with data scientists, ML engineers, designers and software teams, prioritize features, monitor metrics, ensure ethical AI use, drive execution from ideation to launch, and communicate with stakeholders through demos and training to improve support efficiency and customer satisfaction.