Top Tech Jobs & Startup Jobs in Delhi

The role involves leading data science initiatives, mentoring team members, deploying models, and ensuring high-quality technical solutions. Responsibilities include coding, architecture design, and client requirement translation.

Lead ML architecture and solution design for NLP, computer vision, and generative AI projects. Define technical designs, review implementations, run POCs, guide developers, and ensure scalable, secure, and ethical deployments using cloud, MLOps, and model deployment pipelines.

Lead design and implementation of AVEVA-based digital manufacturing solutions: object-oriented asset models, digital twins, MES performance monitoring, historian configuration, OMI visualizations, OT-to-ERP integrations, Andon dashboards, and production analytics to optimize OEE and production efficiency.

Lead and govern bank data migration workstream: define migration strategy and cutover approach, develop migration plans and mock runs, validate source-to-target mappings, oversee vendor ETL/designs, execute reconciliation and verification controls, manage defect triage and test data readiness, ensure data governance/security compliance, and report progress and risks to program stakeholders.

Support and validate bank data migrations: maintain trackers, perform data validation and reconciliations, manage defect logs, coordinate test data and cutover/mock runs, prepare audit evidence, and produce status dashboards.

Lead architecture and delivery of AI-powered user-facing applications using Python and React. Design scalable backend platforms for LLM inference, RAG pipelines, and agent orchestration. Define frontend UX for conversational interfaces, establish GenAI best practices, build reusable platform components, ensure enterprise readiness (security, privacy, governance), and mentor engineering teams.

Lead design and delivery of ML solutions across NLP, vision, and generative AI. Convert business needs into architecture and designs, guide developers, run POCs, ensure scalability, security, MLOps, and responsible AI best practices, and build/deploy AI agents and LLM-based systems.

Design, develop, and own end-to-end UKG integrations and migrations. Build inbound/outbound REST/SOAP and file-based interfaces using middleware (e.g., Boomi), SFTP, EDI, and perform mapping, validation, reconciliation, testing, deployment, monitoring, and hypercare. Coordinate with HR, Payroll, IT, and vendors to ensure scalable, secure, and compliant integration solutions.

Lead end-to-end UKG Timekeeping implementations (UKG Ready/Pro), translate business requirements into compliant WFM solutions, configure pay/work rules, manage integrations and data migration, run testing and go-live, conduct stakeholder workshops, ensure labor compliance and drive issue resolution and continuous improvement.

Lead solution architecture for deposits modernization (CASA/TD), translating business requirements into HLD/SAD, integration designs, non-functional requirements, and guiding build, integration, migration, testing, and operations teams. Conduct design workshops, drive fit-gap and POCs, ensure scalability, security, and deployment readiness, and produce architecture artifacts and design documentation.