3 results
FiltersLead and scale a high-performing team in designing, building, and deploying cutting-edge Generative AI and machine learning solutions. Define the AI technical strategy, oversee platform development, and deliver AI solutions that drive measurable business impact. Lead a team of AI engineers, data scientists, and platform engineers while fostering a culture of innovation, operational excellence, and ethical AI adoption.
Design and build AI-powered agents and automation tools to optimize internal processes, improve decision-making, and enhance employee productivity. Rapidly test and iterate on generative AI applications to solve real business challenges. Partner with business leaders to identify use cases, scope technical requirements, and integrate solutions with internal systems. Use statistical and machine learning techniques to extract insights, model behaviors, and inform strategic recommendations. Measure the impact of deployed AI tools, refine models, and guide the adoption of successful pilots across the organization. Track emerging technologies in generative AI, automation, and data science.
Develop and train machine learning models for fault detection and classification based on time-series sensor data; including vibration, temperature, pressure, flow etc. Perform exploratory data analysis (EDA) on vibration, OT and time-series data to uncover insights and identify patterns indicative of faults or anomalies. Experiment with and evaluate various algorithms to optimize model performance.