Top Tech Jobs & Startup Jobs

Develops AI and machine learning solutions for HR and commercial decision-making, including LLM applications, semantic search, candidate matching, pricing analytics, anomaly detection, and survey analytics. Builds and manages models with MLflow and Databricks, develops optimized data pipelines and governance processes, and creates Power BI dashboards and executive insights. Collaborates with technical and business stakeholders while managing Git workflows, APIs, data integrations, and model performance.

Leads enterprise AI architecture and Databricks platform development, including AI/ML and generative AI solutions, MLOps, model lifecycle management, governance, security, compliance, and architecture standards. Designs RAG, vector store, feature store, and LLM integration patterns; oversees implementation, CI/CD, testing, monitoring, scalability, and optimization. Partners with engineering and technology teams, facilitates planning and reviews, manages architecture risks and deviations, and drives knowledge sharing, documentation, and continuous modernization.

Lead the architecture, design, and delivery of scalable Vue.js applications. Establish frontend standards, optimize performance, integrate RESTful APIs, and guide cross-layer technical decisions. Mentor engineers, conduct code reviews, contribute to testing strategy, address technical debt, and collaborate with backend and cross-functional teams to deliver maintainable, high-performance user interfaces.

Operate, configure, maintain, and support IBM Z hardware and z/OS environments. Responsibilities include software installation and upgrades, third-party product support, system monitoring, performance tuning, storage and network administration, disaster recovery, business continuity, and operational troubleshooting. The role collaborates with engineering teams to maintain stability, resilience, availability, and performance across an integrated enterprise mainframe environment.

Drives revenue growth through OEM partnerships by developing business opportunities, selling cloud and enterprise technology solutions, managing partner relationships, responding to proposals, and achieving sales targets. Maintains CRM data, sales pipelines, forecasts, dashboards, and recurring reports while collaborating with internal delivery teams and enterprise customers.

Install, configure, maintain, upgrade, and support IBM z/OS mainframe systems and related software. Perform system-level troubleshooting, root cause analysis, performance tuning, security support, disaster recovery testing, and incident resolution. Manage SMP/E maintenance, system libraries, configurations, documentation, and operational standards while collaborating with application, infrastructure, and operations teams.

Lead the design and governance of secure, scalable Azure cloud architectures and DevSecOps practices. Responsibilities include Azure migrations, API Management modernization, zero-trust security, CI/CD pipeline protection, infrastructure automation, compliance, disaster recovery, and observability. The role architects Azure services, integrates security scanning and identity controls, manages API policies and certificates, and implements monitoring, deployment governance, and infrastructure as code.

Design, develop, deploy, and optimize AI and machine learning solutions, including generative AI applications, LLMs, RAG architectures, intelligent agents, and workflow automation. Build POCs and MVPs, monitor model performance, collaborate with technical and business stakeholders, and ensure governance, security, and compliance. Deploy scalable AI workloads in cloud environments using modern machine learning frameworks and MLOps practices.

Designs, optimizes, and maintains Databricks data pipelines, Delta Tables, and notebooks. Deploys and monitors machine learning models with MLflow, supports model lifecycle management, and develops Power BI dashboards. Monitors API integrations, troubleshoots failures, performs data validation, and improves governance and operational efficiency. Manages Git workflows and collaborates with data scientists, analysts, and business stakeholders to deliver scalable data and analytics solutions.

Lead SAP Group Reporting implementations from solution design through post-implementation support. Translate financial consolidation, reporting, and FP&A requirements into scalable SAP architectures; configure data models, consolidation logic, hierarchies, and reporting structures; integrate SAP and external data sources; conduct client workshops; manage testing and documentation; support project delivery; and mentor junior consultants.