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Project Role : AI / ML Engineer. Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. Must have skills : Python (Programming Language). Good to have skills : Microsoft Azure DevOps. Minimum. 5 year(s) of experience is required
We are looking for a talented and motivated Python Developer who has strong experience with both FastAPI and Django, and a solid command over databases. You'll play a key role in developing scalable backend systems, building robust APIs, and working on high-performance web applications. If you enjoy writing clean code, solving complex backend challenges, and building systems that scale, youll thrive in this role.
Role & responsibilities. Performance Ratio (PR) Tracking: Monitor and analyze the PR and Capacity Utilization Factor (CUF) for MW-scale plants, ensuring they meet contractual obligations. Deep Data Analytics: Use Python, R, or advanced MS Excel/Google Sheets to analyze large datasets from SCADA systems to identify degradation trends or equipment underperformance. Lost Energy Attribution: Calculate energy losses specifically due to grid downtime, clipping, soiling, and thermal effects to provide a clear Actual vs. Theoretical generation gap analysis. Forecasting & Modeling: Use PVSyst or Meteonorm data to create generation forecasts and compare real-time data against weather-adjusted benchmarks. Soiling Analysis: Analyze soiling losses to optimize cleaning cycles for MW-scale sites, balancing cost vs. generation gain. Reporting: Prepare high-level technical reports for stakeholders, highlighting monthly generation health and proposing corrective actions for system-level inefficiencies. Preferred candidate profile
Solution Architect – Generative AI to lead a team and design cutting-edge AI-driven solutions. This role focuses on Generative AI applications, including RAG, full-stack platforms, and mobile apps. Required Candidate profile. Ensuring the successful implementation of cutting-edge AI/ML algorithms, and driving the development of high-performance systems
