Do you feel like you’re just coding toy problems without making a real impact? Join us for a fulfilling career as a Software Engineer specializing in Big Data Pipelines and ML Automation, where you’ll tackle concretely defined, real-world challenges. At Imnoo, you’ll make a significant impact on automating manufacturing processes through robust big data engineering, scalable data pipelines, and machine learning integrations, gaining invaluable experience in Python development, C# programming, C++ expertise, and deep satisfaction along the way!

We’re looking for an experienced Software Engineer - Big Data / Pipelines with an ML Flavour who is passionate about automation, AI/ML engineering, and ready to build scalable ETL pipelines, process massive datasets, and infuse machine learning models into production systems using strong Python coding skills, C# development, and C++ performance optimization.

Why Join Us? | Career in Big Data Engineering & ML

• A clear path for career growth in machine learning engineering and data engineering roles.
• The opportunity to solve real and meaningful challenges in data-intensive manufacturing automation, computer vision, and AI-driven pipelines.
• A dynamic and flexible work environment supporting remote software development.
• Opportunities for professional development, certification support in AWS, Azure, and MLOps.
• A platform to share your ideas and opinions, where they are highly valued in our startup tech team.

Your Playground | Hands-On Big Data & ML Projects

• Work on real/hands-on problems involving big data processing and automation tools for industrial AI.
• Develop efficient data pipelines and tools that directly impact the day-to-day operations of our manufacturers
• Design and implement advanced data extraction, feature engineering, processing, and pipeline orchestration solutions for handling CAD, 2D, 3D, and large-scale batch data (filtered/unfiltered) with a focus on ML applications like deep learning models and predictive analytics.
• Engineer scalable big data infrastructure, cloud-native services, RESTful APIs, automated ML model training and deployment, and CI/CD build tools using Docker and Kubernetes.
• Own services end-to-end, from proof of concept to production-ready solutions in high-load environments with scalability testing and performance tuning.
• Gain in-depth knowledge of interconnected cloud computing, big data ecosystems (Hadoop, Spark), computer vision pipelines, and ML frameworks across Python, C#, C++, and multiple platforms like Linux/Unix systems.
• Maintain and enhance optimization algorithms, machine learning services, and neural network integrations within data pipelines.
• Improve 2D/3D/CAD tools and solutions through automated, data-driven workflows, including geometric modeling, simulation tools, and GPU acceleration with CUDA.
• SEO optimization:
• Big Data Engineer, Data Pipeline Developer, Machine Learning Engineer, Python Developer, C# Developer, C++ Software Engineer, Cloud Services Engineer, AWS Developer, Azure Developer, Automation Engineer, Distributed Systems Developer, MLOps Specialist, CAD Data Processing, 3D Geometry Software Engineer, ETL Pipeline Developer, Industrial Automation Software Engineer, IoT Data Engineer, High-Performance Computing, Data Pipeline Architect, Software Engineer for Big Data and ML, Cloud-Native Application Developer, Data Processing Optimization, Parallel Computing Engineer.

(Middlemen such as recruiting agencies are not welcome and will be automatically disqualified)