Top Tech Jobs & Startup Jobs

Consultant Business Analyst delivering supply chain and inventory analytics, data storytelling, and GenAI-enabled productivity. Analyze inventory and supply chain data, build dashboards, run root-cause analysis, create BRDs/FRDs and executive presentations, run stakeholder workshops, support UAT, and drive actionable optimization recommendations.

Process and manage support tickets, create dispatches for field engineers and parts, respond to customer emails, document cases, troubleshoot hardware and OS issues, coordinate logistics, escalate complex problems, and support 24×7 operations across regions while participating in training.

Design, build, and maintain scalable MLOps platforms and CI/CD pipelines. Containerize and orchestrate workloads, implement model versioning and monitoring, deploy models as APIs, optimize serving performance, and enforce security and governance while collaborating with data and platform teams to productionize ML solutions.

Design, develop, and optimize large-scale PySpark ETL/ELT pipelines on Databricks. Implement Delta Lake lakehouse architectures, tune Spark jobs, write complex SQL, monitor production, enable CI/CD, mentor junior engineers, and collaborate with stakeholders on scalable data solutions.

Build and maintain scalable ML pipelines and infrastructure, integrate LLMs, manage model lifecycle with MLFlow, collaborate in agile teams, write high-quality code, perform code reviews, deploy and monitor models in cloud environments.

Build, deploy, and maintain scalable ML pipelines and production models. Integrate LLMs into applications, manage model lifecycle with MLFlow, collaborate with data scientists and engineers, participate in Agile/Scrum, ensure code quality through reviews and CI workflows, and resolve infrastructure and deployment issues.

Lead digital transformation strategy and governance across multiple enterprise programs. Partner with executives to define roadmaps, drive AI/automation and analytics initiatives, ensure delivery excellence, mentor consulting teams, establish governance, and support business growth through solutioning and capability development.

Design, build, and maintain scalable MLOps platforms and CI/CD pipelines. Containerize and orchestrate ML workloads, implement model versioning and monitoring, deploy models as APIs, optimize serving performance, ensure security and governance, and collaborate with cross-functional teams to productionize ML solutions.