Remote C# Engineer

6 days ago


Bangalore, India Veunex Full time

About the Role At Veunex , we're building the world’s first AI-powered safety automation platform for the Oil & Gas sector. As a Delivery AI Engineer , you will play a critical role in deploying our AI solutions, optimizing data workflows, and fine-tuning model performance to deliver real value at the field level. You’ll work at the intersection of engineering, data science, and operations—bridging the gap between intelligent systems and real-world use. If you’re a hands-on AI engineer who thrives in dynamic environments and wants to see your work implemented at scale, we want to hear from you. you've never worked with LINUX, Docker You’re not open to frequent travel Train and fine-tune AI models tailored for safety-critical environments Optimize data pipelines, pre-processing workflows, and real-time data streams Deploy and maintain AI systems at client locations (onshore/offshore) Monitor model performance, identify drift or bottlenecks, and improve accuracy Collaborate with product, software, and HSE experts to ensure solutions meet operational goals Lead technical training for field personnel on AI system usage and performance expectations Bachelor’s or Master’s in Computer Science, Industrial Engineering, Data Science, or related field Strong experience with Python, SQL, Docker, and common ML frameworks (e.g., Understanding of computer vision or time-series analysis is a plus Familiar with performance tuning and model evaluation in production environments Experience deploying ML models in real-world or edge settings Willingness to travel up to 70% (including offshore locations) Be part of a bold mission to save lives and improve operations through AI Competitive salary, growth opportunities, and real-world influence Ready to deliver impact through AI? ~ Apply now and help us reshape safety for the energy industry.


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