Top Tech Jobs & Startup Jobs

Performs manual and automated testing for web applications, APIs, and ML/AI-powered features. Responsibilities include creating test plans and cases, executing functional and regression testing, developing automation scripts, validating API responses and databases with SQL, evaluating model outputs and data quality, documenting defects, and reporting quality metrics within Agile teams.

Own enterprise customer outcomes, adoption, and value realization for industrial AI deployments. Lead complex implementation programs, technical workshops, and solution discussions while coordinating engineering, product, delivery, sales, and customer stakeholders. Translate AI insights into operational improvements, support account expansion, and develop long-term strategic partnerships with industrial organizations.

Monitor Oil & Gas rotating equipment remotely, analyze AI-generated alerts, investigate failure modes, and support root-cause analysis. Partner with customers and internal teams to validate alerts, tune monitoring models, improve adoption, and quantify value through downtime and cost avoidance. Provide operational reviews, training, documentation, and customer success materials while translating technical equipment insights into measurable reliability and business outcomes.

Supports cement customers by reviewing AI-generated equipment alerts, validating insights, monitoring model performance, and recommending actions to improve reliability and plant outcomes. Analyzes kiln, mill, crusher, conveyor, fan, and compressor performance; tracks value such as downtime reduction and cost avoidance; and assists with customer meetings, training, technical discussions, and platform adoption. Collaborates with customer success, consulting, and product teams to optimize industrial AI outcomes.

Build, deploy, validate, and quality-assure AI, ML, and rule-based models for industrial customers. Support discovery, requirements gathering, tag mapping, and model preparation using P&IDs, PFDs, and operational calculations. Collaborate with project managers and technical consultants to deliver implementations on schedule, provide product feedback, automate repetitive workflows, and improve deployment efficiency and reliability.

Design, develop, and maintain scalable web applications using MEAN/MERN. Build responsive front-ends (Angular), develop back-end APIs, perform code reviews, debug, and collaborate across teams. Contribute to CI/CD, keep up with emerging technologies, and ensure high-quality, maintainable code.

Develop and deploy production-grade AI and machine learning systems for predictive maintenance, process optimization, and industrial intelligence. Analyze high-dimensional time-series data from IoT, SCADA, and DCS systems; combine physical models with data-driven ML; build low-latency edge inference pipelines; improve interpretability and scalability; collaborate with industrial experts and customers; mentor data scientists; and contribute to thought leadership.

Lead design, build, and deploy production-grade AI/ML systems for predictive maintenance and process optimization using hybrid first-principles and data-driven models. Handle high-frequency time-series sensor data, operationalize low-latency inference at the edge, collaborate with product/engineering/domain experts, drive model interpretability and scalability, mentor team members, and contribute thought leadership.

Lead business development to expand UptimeAI’s presence in APAC and the Middle East. Build and qualify pipeline, execute GTM strategies, engage enterprise clients, create sales enablement assets, align with sales and marketing, manage a BD team, and track performance to meet revenue targets.

Lead end-to-end customer implementation projects: own project plans, coordinate Technical Consultants and offshore teams, run meetings, manage risks/escalations, track deliverables in PM tools, communicate status to stakeholders, and improve workflows while supporting multiple customers across time zones.