Top Tech Jobs & Startup Jobs

Develop and maintain demand forecasts across products, markets, customers, and channels. Analyze sales, inventory, promotions, seasonality, and market trends; investigate forecast performance and root causes; support product launches, lifecycle planning, and S&OP. Create reports and dashboards using Excel, SQL, Power BI, or Tableau, maintain planning data in ERP/MRP systems, and collaborate with Sales, Marketing, Supply Planning, Finance, and Analytics teams.

Leads Azure solution architecture for complex data platforms, translating business requirements into scalable technical designs. Designs data models, integrations, provisioning interfaces, CI/CD pipelines, monitoring, and MLOps solutions. Advises clients on Azure services, cost optimization, platform strategy, and enterprise adoption while overseeing delivery standards, estimates, RFP responses, and stakeholder collaboration. Requires extensive software development, data engineering, Azure, dbt, Data Vault, Python, Spark, and analytics experience.

Build production-grade LLM applications (agentic chatbots, semantic search, RAG systems), fine-tune foundation models, implement RAG and agent architectures, integrate AI assistants with systems, design evaluation/governance pipelines, collaborate with cross-functional teams, and mentor junior data scientists.

Senior backend (Python) engineer responsible for designing, building and maintaining RESTful backend services and APIs, integrating data science outputs, optimizing performance and multithreading, troubleshooting UAT/integration issues, leading teams, and documenting solutions for enterprise Data-to-Decision systems.

The Data Steward ensures data governance and quality by developing solutions, creating data metrics, conducting profiling, and collaborating with stakeholders to maintain data integrity.

Drive business growth by selling consulting and technical services, managing client relationships, and collaborating with Microsoft for joint sales opportunities.

Design and maintain scalable data pipelines in enterprise-scale data warehousing projects using GCP and Python frameworks.

Manage and grow a healthcare client account by developing executive relationships, identifying AI and GenAI opportunities, shaping demand, and driving new business, sales, margins, proposals, pilots, and subscriptions. Collaborate with consulting, delivery, finance, research, and engineering teams across the U.S. and India. Translate AI capabilities, cloud services, APIs, data pipelines, and commercial models into client value propositions while supporting successful production deployments.

Design, build, and maintain scalable .NET backend services and integrations for a medical imaging platform. Develop ASP.NET Core APIs, implement data integration workflows, integrate AI outputs into radiology applications, manage demo study loading and data orchestration, and collaborate with frontend, AI, and clinical stakeholders to ensure high performance and reliability.

Design and maintain scalable GCP infrastructure, guide Agile teams, optimize data workflows, and ensure security compliance. Act as a mentor to teams.