Top Machine Learning Jobs in India

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.

Lead product strategy and roadmap for AI-powered Digital Assistant across quote-to-cash workflows. Translate business needs into requirements, collaborate with ML and engineering teams, prioritize features, monitor performance, and ensure ethical AI. Drive cross-functional alignment, build business cases, and deliver demos to stakeholders.

Lead strategy, vision, development, and growth for an agentic AI platform that automates complex enterprise tasks. Responsibilities include customer and market discovery, competitor analysis, feature prioritization, backlog and roadmap management, agile delivery, and collaboration with engineering, AI/ML, design, sales, marketing, and solutions teams. The role also supports product demos, enablement, client presentations, adoption, and revenue growth.

Lead strategy, roadmap, development, and growth for an agentic AI platform that automates complex enterprise workflows. Conduct customer and market discovery, translate business pain points into scalable features, prioritize backlogs, and coordinate agile delivery with engineering, AI/ML, design, sales, and marketing teams. Establish AI governance, monitoring, compliance, and ethical performance frameworks while supporting product demos, enablement, adoption, and revenue growth.

Own the organization’s technical vision and AI-focused architecture roadmap. Lead AI adoption across products and client solutions, guide predictive, recommendation, automation, and generative AI initiatives, and oversee data readiness, model deployment, and monitoring. Translate client challenges into scalable technical solutions, support pre-sales, mentor engineering teams, and ensure production readiness, security, performance, and delivery excellence while aligning technology strategy with business outcomes.

Develop and deploy machine learning models from data collection and preprocessing through production deployment. Responsibilities include selecting algorithms, exploring and validating data, feature engineering, data augmentation, model training and tuning, error analysis, hardware selection, and ensuring model performance and latency meet business objectives.

Develop and deploy AI and machine learning solutions, including model design, data analysis, NLP, computer vision, system integration, infrastructure management, testing, and maintenance. Collaborate with data scientists and engineering teams to embed AI into business systems, align initiatives with organizational goals, and recommend improvements based on emerging AI trends.