Jobs at Tarento Technologies Pvt Ltd.

Own growth and distribution for an established AI product. Lead self-serve funnel optimization, product evangelism, technical content, community and ecosystem development, growth-feature roadmaps, experimentation, and instrumentation. Improve acquisition, activation, retention, conversion, and practitioner advocacy by connecting funnel and community insights to product decisions.

Manage IT infrastructure across Windows, Linux, and macOS environments, including hardware procurement, deployment, asset tracking, system availability, Microsoft 365 administration, Intune, Autopilot, Defender, Exchange Online, SharePoint backup, Entra ID, Active Directory, and endpoint security. Responsibilities include troubleshooting, patching, monitoring, incident response, vendor coordination, documentation, audits, disaster recovery support, and employee onboarding and offboarding.

Contribute to end-to-end product design, including user problem analysis, flow mapping, interface design, visual assets, design reviews, documentation, and handoff preparation. The intern will work with experienced designers on real product and client projects, receive mentorship and feedback, and explore AI-assisted design tools. The role is intended for design students completing academic or industry internships.

Designs scalable enterprise AI services and architectures, establishes AI architecture standards, and embeds security, privacy, compliance, and ethics into solutions. The role leads AI roadmap planning, translates business needs into technical designs, oversees data pipelines and model deployment, performs light coding and technical reviews, and advises leadership. Requires Azure, Python, data science, machine learning, AI/ML platform architecture, and model lifecycle experience.

Lead SAP Business AI and Joule consulting assignments from discovery through delivery shaping. Identify enterprise AI use cases, translate business-process needs into SAP-native solutions, shape architectures across S/4HANA, BTP, Joule, workflows, integrations, and governance, and lead customer workshops. Build roadmaps, pilots, proposals, delivery playbooks, accelerators, and team capabilities while coordinating business stakeholders, SAP consultants, architects, engineers, and leadership.

Lead enterprise integration architecture across SAP S/4HANA, BTP, and third-party systems. Design scalable integration blueprints, establish governance and security standards, define migration roadmaps from SAP PI/PO, and oversee performance, monitoring, and availability. Provide technical leadership, conduct code reviews, mentor developers, and collaborate with business leaders to translate objectives into integration strategies. Deliver complex transformations and high-stakes integration projects using SAP middleware, APIs, event-driven architecture, and automated deployment practices.

Lead end-to-end SAP integration projects using CPI, PI, and PO, including migration from PI to PO and PO to Integration Suite. Configure and develop integrations across cloud and on-premises SAP systems, B2B and EDI scenarios, and applications such as Salesforce, SuccessFactors, Workday, and S/4HANA Cloud. Work with diverse adapters, APIs, mappings, iFlows, and integration tools while supporting migration initiatives and complex integration scenarios.

Develop statistical and machine learning models to analyze and optimize mining operations. Collect, clean, integrate, and model data; create dashboards and visualizations; collaborate with domain experts; automate workflows; and deploy production solutions using Python and modern data tools. The role may lead data scientists and engineers and requires expertise in data engineering, SQL, BI, application logic, testing, and infrastructure, with mining or industrial-process knowledge preferred.

Lead Data Scientist responsible for designing, deploying, validating, and monitoring predictive, deep learning, NLP, multimodal, and generative AI models. The role involves statistical modeling, experimentation, causal inference, optimization, A/B testing, KPI definition, and translating business needs into analytical solutions. Responsibilities also include large-scale data processing, ML pipelines, data preparation, governance, and collaboration with product, engineering, and business stakeholders using Python, Databricks, MLflow, and Azure services.

Build and maintain ACL services, integration adapters, and API layers using Kotlin or Java. Transform data between legacy formats and canonical models, develop REST APIs, implement JSON/XML schema validation, and work with messaging concepts. Collaborate through Git pull requests and CI/CD pipelines, write unit and integration tests, and learn Apache Camel and enterprise integration patterns.

Create graphics and edit videos for social media, campaigns, events, internal branding, testimonials, product explainers, and promotional content. Use Figma, Canva, and Adobe Creative Suite to produce engaging visual assets while maintaining brand consistency. Collaborate with marketing stakeholders, manage multiple projects, and meet deadlines. The role is an in-office internship in Bengaluru lasting three to six months.

Lead end-to-end SAP integration initiatives using CPI, PI, PO, and Integration Suite. Responsibilities include migration from PI to PO and PO to CPI, configuration, graphical and XSLT mapping, adapter-based integrations, cloud-to-cloud and on-premise connectivity, requirements gathering, testing, go-live support, defect resolution, and customer or third-party coordination.

Lead pre-sales AI and Azure transformation pursuits by identifying high-value use cases, translating business needs into end-to-end Microsoft AI architectures, shaping POCs, and coordinating delivery specialists. The role develops reference patterns across Azure, Microsoft 365, Copilot, and Power Platform; guides technical discovery; estimates effort and risks; and creates executive-ready transformation narratives, reusable architecture materials, demos, and decision frameworks.

Lead end-to-end development of high-performance AI-driven web applications using React, Python FastAPI, and Rust. Build responsive interfaces, scalable hybrid backend services, semantic search, summarization, and agentic workflows. Integrate NLP and generative AI models, optimize processing with Rust, and work with PostgreSQL and Redis. Drive architecture, promote type safety, create streaming AI user experiences, and mentor junior engineers.

Lead large-scale government and public-sector digital transformation programs from strategy through delivery. Establish governance, PMO practices, roadmaps, reporting, and risk controls while managing budgets, milestones, dependencies, and multiple workstreams. Build relationships with senior government and client stakeholders, lead executive governance forums, manage vendors and implementation partners, and drive technology adoption and organizational change. Mentor cross-functional consulting, technology, product, and operations teams and support continuous delivery improvement.

Design and build scalable enterprise AI services and solution architectures. Establish AI architecture standards, principles, and best practices while addressing security, privacy, compliance, and ethical requirements. Lead AI roadmap planning, translate business needs into technical solutions, and oversee data pipelines, model development, and deployment. Conduct light coding and technical reviews, and advise leadership and delivery teams on AI strategy and execution.

Lead backend architecture and end-to-end technology delivery while designing and building scalable Java or Python microservices. Author HLD and LLD documentation, optimize high-throughput systems, define observability standards, establish SLOs and SLIs, resolve incidents, conduct root-cause analysis, and mentor backend engineers. The role requires production ownership, distributed systems expertise, event-driven architecture, cloud platforms, containerization, and experience delivering reliable services at scale.

Design and architect large-scale Azure data lakehouse infrastructure and ETL/ELT pipelines. Optimize Databricks and Data Lake costs, troubleshoot production failures, improve data quality and reliability, and implement governance and security best practices. Collaborate with and mentor global data scientists, analysts, and operations teams while delivering secure, automated solutions using Azure, Spark, Python, and Scala.

Design, develop, and deploy scalable Java microservices with Spring Boot on Azure. Build REST APIs, integrate Kafka messaging, manage Docker and Kubernetes deployments, and work with SQL and NoSQL databases. Write unit and API automation tests using JUnit and Cucumber, support CI/CD and DevOps processes, participate in code reviews, and collaborate with QA and engineering teams on reliable software delivery.

Supports software project quality processes by tracking adherence to organizational standards, maintaining documentation and quality records, coordinating metrics collection, assisting with compliance audits and work product inspections, and documenting SEPG activities. The role also supports project initiation, training records, audit findings, closure tracking, and escalation of quality risks while collaborating regularly with project teams.