Jobs at TVS Next

Develop, validate, and deploy machine learning and AI solutions using enterprise datasets. Perform EDA, feature engineering, predictive modeling, model evaluation, data pipeline construction, and visualization. Collaborate with engineers and business stakeholders to deliver production-ready analytics and dashboards, and research emerging AI techniques.

Design, build, deploy, and maintain production-grade machine learning models and end-to-end pipelines. Perform feature engineering, model evaluation, optimization, REST API deployment, monitoring, and automated retraining. Collaborate with cross-functional teams to translate business requirements into scalable, reliable ML services using cloud, containerization, and CI/CD practices.

Design, deploy, monitor, and maintain production machine learning systems and end-to-end ML pipelines. Build scalable MLOps frameworks, automate deployments and retraining, manage cloud-native infrastructure and CI/CD, implement IaC, containerization, monitoring, and governance, and collaborate with cross-functional teams to ensure reliable, compliant enterprise AI platforms.

Design, develop, train, deploy, and maintain production-grade AI/ML solutions. Build predictive, classification, recommendation, and automation systems; prepare and feature-engineer data; create scalable model-serving APIs; deploy with containers and CI/CD; monitor model performance and drift; apply Responsible AI principles; collaborate with product, engineering, and stakeholders in Agile delivery.

Design, automate, and maintain highly available AWS cloud infrastructure. Build and operate containerized workloads (ECS/Fargate), manage RDS/PostgreSQL, implement IaC (Terraform/CloudFormation), CI/CD pipelines, caching, observability, incident response, troubleshooting, and collaborate with engineering teams to improve reliability and scalability.

Design, build, and maintain enterprise web applications using the Microsoft .NET stack. Develop frontends with ASP.NET (ASPX) and Angular; implement backend services in C#/.NET, Web APIs, Windows Services, and LINQ; design and optimize SQL Server/MySQL databases and RESTful APIs; perform production support, troubleshooting, deployments, and collaborate with stakeholders through SDLC/Agile processes.

Design, develop, and maintain high-performance, production-grade C++ server software. Implement multithreaded real-time control systems across Linux/Unix and RTOS, integrate DDS for communication, and work with MySQL/MongoDB. Ensure system reliability via debugging, failure analysis, and corrective action while recommending performance and scalability improvements.

Design, build, and maintain scalable, cloud-native backend services using Node.js and TypeScript. Optimize API performance, concurrency, caching, and PostgreSQL queries. Collaborate on architecture, troubleshoot production issues, drive observability and performance improvements, and document best practices.

Design, develop, and maintain Playwright-based automation frameworks for Salesforce. Automate UI, API, regression, integration, and end-to-end tests (cross-browser). Build reusable POMs, fixtures, test data, and reports. Integrate with CI/CD, analyze failures, troubleshoot issues, and collaborate in Agile while mentoring junior engineers.

Design, develop, and maintain scalable cloud-native backend services using Node.js and TypeScript. Optimize performance and PostgreSQL queries, implement caching and concurrency strategies, build high-availability APIs, troubleshoot production issues, participate in architecture and code reviews, and collaborate with cross-functional teams to improve scalability, resiliency, and operational efficiency.

Design, build, and maintain Playwright-based automation frameworks and test suites for UI, API, integration, and end-to-end scenarios. Integrate tests with CI/CD, troubleshoot failures, ensure cross-browser stability, validate back-end data, and mentor junior QA engineers while working in Agile teams.

Design, develop, and optimize PostgreSQL databases and backend services. Build and maintain C#/.NET or Python backends, REST and GraphQL APIs via Hasura, implement transaction and concurrency controls, tune performance, create tests, and document SQL routines and GraphQL schemas while troubleshooting complex database and backend issues.

Lead development and maintenance of scalable React applications, implement state management and API integrations (REST/GraphQL), optimize frontend performance and security, integrate advanced UI components, troubleshoot issues, and mentor junior developers.

Create and revise 2D/3D CAD models and technical drawings in AutoCAD and CREO, manage CAD data in Windchill, support ECNs/BOMs, ensure GD&T and drafting standard compliance, and collaborate with engineering, manufacturing, and quality teams.

Provide L1/L2 technical support via ticketing, email, phone, and in-person. Install, configure, and maintain hardware, software, OS, and peripherals. Troubleshoot connectivity (LAN, Wi‑Fi, VPN, DNS, DHCP), endpoints, and enterprise applications. Manage tickets, documentation, SLA adherence, onboarding/offboarding, access provisioning, and asset allocation while coordinating with internal teams and vendors.

Lead frontend architecture and development of scalable, responsive React/Next.js applications using TypeScript. Define component libraries, micro-frontend strategies, integrate REST/GraphQL/WebSockets, optimize performance, mentor teams, run code reviews, and collaborate with Product, UX, Backend, QA, and DevOps in Agile delivery.

Lead and execute automated testing within an Agile team: build frameworks, create and run automated tests (API, UI, DB, regression, performance), integrate tests into CI/CD, debug suites, collaborate with engineers and product to ensure quality, and own reporting and test environment configuration.

Develop scalable, high-performance frontend applications using React, JavaScript/TypeScript, HTML5, and CSS3. Build reusable components, optimize performance, ensure cross-browser responsiveness, collaborate with designers and backend engineers, participate in architecture and code reviews, and support CI/CD practices in an agile environment focused on digital commerce solutions.

Develop, test, and deploy machine learning and generative AI solutions (including LLM-based chatbots). Perform data preprocessing, feature engineering, EDA, model fine-tuning and evaluation, and collaborate to integrate models into production while documenting experiments.

Design, develop, and deploy production-grade ML solutions and Digital Twin models for smart manufacturing. Build predictive/prescriptive models (predictive maintenance, anomaly detection, throughput, scheduling), create feature and streaming pipelines, implement MLOps (training/deployment, model registry, drift monitoring), collaborate with engineers and SMEs, support plant visits, and ensure scalable, monitored AI solutions for industrial operations.