Top Tech Jobs & Startup Jobs in Chennai

Design, develop, evaluate, and deploy NLP, LLM, generative AI, multimodal, and agentic applications. Responsibilities include fine-tuning models, conducting experiments, building scalable data and ML pipelines, developing APIs and user interfaces, and deploying applications with Docker, Kubernetes, and cloud infrastructure. The role also involves conversational agents, image-generation tools, performance monitoring, and production-ready AI products for automotive use cases.

Supports SAP ERP system and business cutover planning, deployment preparation, data validation, defect management, milestone tracking, status reporting, and cross-team coordination. Works with system integrators, SAP functional and technical experts, legacy teams, and business stakeholders to execute builds, loads, refreshes, validations, and implementation activities. Maintains project plans, Gantt charts, cutover tasks, issue tracking, and communication throughout the upgrade or implementation lifecycle.

Own the internal go-to-market and adoption strategy for Ford’s enterprise data platform suite. Responsibilities include positioning products, conducting discovery and pre-sales consultations, creating demos and enablement assets, executing internal marketing campaigns, tracking adoption funnels, prioritizing target domains, gathering customer feedback, and reporting progress to leadership. The role partners with product, engineering, governance, data quality, and platform teams to expand trusted platform usage.

Leads incident management, service monitoring, operational analytics, and quality improvement for connected vehicle services across international markets. Investigates outages and degradations across applications, cloud platforms, APIs, telematics, and vehicle communication systems; coordinates resolution with engineering teams and external partners; tracks root causes and corrective actions; monitors KPIs; produces performance reports; reviews customer feedback; and supports operational readiness for new features.

Build scalable Python backend services, APIs, cloud-native applications, and AI-powered solutions. Develop LLM, RAG, agentic, and multi-agent systems; deploy workloads with Docker and Kubernetes; maintain CI/CD pipelines; and operate applications across major cloud platforms. Collaborate cross-functionally to deliver secure, tested, observable, and production-ready software while optimizing performance, scalability, latency, and cost.

Manages weekly supplier shipment plans in ASCENT, triages inventory shortfall cases through PEGA, and coordinates corrective actions with Ford purchasing, technical assistance, and logistics teams. The role analyzes supplier commitments, identifies production risks and shortfalls, supports programming and ISO audits, develops management reports, improves ASCENT metrics, and drives continuous process improvement.

Develops and improves manufacturing and business processes within Siemens Teamcenter Easy Plan. Responsibilities include requirements analysis, process workflow design, tool configuration, system issue resolution, testing and validation, stakeholder collaboration, program implementation support, and comprehensive documentation. The role partners with IT, Siemens support, manufacturing engineering, and industrial engineering teams to deliver standardized, scalable process solutions for vehicle and manufacturing programs.

Designs, develops, and supports Oracle HCM integrations using Oracle Integration Cloud, REST/SOAP APIs, Atom Feeds, databases, ETL processes, and Unix/Linux scripting. The role builds real-time and batch integration flows, manages data validation and reconciliation, troubleshoots integration failures, monitors deployments, and collaborates with HR stakeholders and technical teams to deliver scalable integration solutions.

Leads software engineering and AI/ML product strategy for global order-generation systems. Defines technical architecture, cloud and data strategies, AI/ML roadmaps, MLOps practices, engineering standards, and operational metrics. Oversees development of scalable microservices and integrations while ensuring security, explainability, governance, and reliability. Builds and mentors cross-functional engineering, product, data, and ML teams; drives Agile delivery, product launches, adoption, and continuous improvement. Maintains hands-on technical involvement through architecture reviews, code reviews, technical problem-solving, and prototyping.

Develop scalable data science and machine learning solutions using Python, SQL, statistics, cloud technologies, and business data. Responsibilities include extracting and analyzing data, identifying business opportunities, building dashboards and models, operationalizing AI/ML solutions, integrating models into business processes, and communicating insights to stakeholders. The role supports applications across connected vehicles, smart mobility, manufacturing, supply chain, logistics, and warranty analytics.