Top Machine Learning Jobs in India

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.

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 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 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 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.

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.

Lead development and operation of Nike's multi-cloud access, entitlement, governance, and cost-optimization platform. Drive architecture, roadmap, squad leadership, SLO-driven operations, AI-assisted automation, and cross-region co-ownership while mentoring engineers and ensuring reliable, secure management plane services.

Senior embedded software engineer responsible for sustaining engineering: translate system requirements into software specs, design and implement embedded control applications, develop and run tests, produce documentation (design, test plans, FMEA), collaborate with hardware and cross-functional teams, and drive technical problem-solving for medical device products.

Manage end-to-end technology procurement for strategic vendors: own renewals pipeline, lead RFI/RFP and negotiations, draft contracts with legal, align stakeholders, qualify suppliers, resolve post-signature delivery or commercial issues, and provide market intelligence for strategic sourcing decisions.

Design, build, and deploy production-ready AI/ML applications and pipelines using cloud or on-prem services. Implement generative AI, deep learning, chatbots, and image-processing solutions. Troubleshoot systems, collaborate with teams, mentor junior engineers, and continuously update skills to ensure scalable, reliable AI deployments.

Lead cross-functional engineering teams to define technical roadmaps and deliver scalable software and ML-driven solutions that improve manufacturing and operational efficiency. Drive engineering best practices, mentor teams, manage project planning and risks, collaborate with product and business stakeholders, and promote continuous improvement and technology adoption.

Design, implement, and optimize scalable, secure cloud-based Big Data solutions and pipelines (batch and near‑real time). Troubleshoot Data Lake/Data Mesh environments, tune NoSQL/distributed jobs, produce documentation, and provide technical guidance, training, and client-facing demos.

Prepare and test Jupyter notebooks on AI topics, hold weekly in-person consultation hours and email support for student Python programming and projects, grade assignments and the final project, and be available throughout the semester to assist students.

Serve as a teaching assistant for CSI5155 (Machine Learning): grade and record student work, support students, attend TA training, and assist instructor. Strong knowledge of machine learning theory, methods, evaluation metrics, and practical programming experience required. Preference for candidates who completed the course with an A.

Grade and record students' work for the course Applications of NLP and ML in Software Engineering (Sept–Dec). Total 65 hours; in-person work. Requires expertise in NLP and ML methods (pipelines, lexicons, similarity, information extraction, classification, clustering, supervised learning, deep learning, embeddings, transformers) and quantitative evaluation of techniques. Hours and task allocation negotiated with supervising professor.

Prepare and test Jupyter Python notebooks, hold weekly consultation hours, assist students with Python assignments and AI projects (email/in-person), and evaluate/grading assignments and final projects for an Introduction to AI course.

Lead design and delivery of custom .NET full-stack SaaS solutions. Provide technical leadership and architecture, mentor engineers, oversee CI/CD, containerization, and IaC, collaborate with stakeholders, drive innovation including AI/LLM initiatives, and ensure high-quality production deployments.

Perform manual annotation and validation of documents, images, video, and audio for identity verification models. Label document elements, mark tampering/deepfake regions, tag liveness/spoof artifacts, draw bounding boxes and landmarks, apply frame-level video labels, document edge cases, review peer work, and collaborate with ML engineers to improve dataset quality.

Designs and implements production-ready AI/ML solutions using cloud AI services and GenAI. Leads and mentors teams, collaborates cross-functionally, develops scalable deep learning models (TensorFlow/PyTorch), performs data preprocessing and feature engineering, and evaluates new technologies for system performance improvements.

Designs, implements, and optimizes generative AI and deep learning solutions (NLP, speech, vision). Collaborates with cross-functional teams, ensures data quality, performs research, and documents models and prompt-engineering best practices for production-ready deployments on cloud platforms.

As an AI/ML Engineer, you'll develop applications leveraging AI tools and Cloud AI services, applying deep learning and neural networks while collaborating on innovative solutions.