The company, founded in 2010, is a dynamic software development services company that delivers supreme architectural and technical expertise. Our mission is to provide in-depth consultancy, integrate product and design research into our development process, offer managed software and cloud solutions, and provide customized training programs to bridge knowledge gaps. We are empowering our employees with a comprehensive range of professional courses and training programs. From Cloud Computing (Azure, AWS) to Modern Full Stack Web Development, Microservices, Software Architecture, and DevOps,
We are hiring Machine Learning Developer to join our Team!
Responsibilities include: Design, implement, and maintain ML-based modules as part of our automated medical systems. Collaborate with software, hardware, QA, and product teams to integrate ML models into Real-Time control and decision systems. Build and optimize data processing pipelines ( ETL, preprocessing, feature extraction). Train, TEST, and evaluate Machine Learning models for tasks such as object detection, anomaly detection, and predictive analytics. Contribute to improving ML deployment workflows and development tools (MLOps). Document models, experiments, and validation processes for audit and regulatory use.
Requirements: B.A/B.Sc. in Computer Science, data Science, or a related technical field. 25 years of hands-on experience in Python development. Solid understanding of ML fundamentals: supervised/unsupervised learning, overfitting, validation, metrics. Experience with ML libraries: scikit-learn, pandas, numpy, TensorFlow or PyTorch. Ability to write clean, modular, and production-ready Python code. Familiarity with REST APIs and integrating models into backend services. A curious mindset, collaborative spirit, and a passion for solving real-world problems with data.
Advantage: Experience deploying ML models to production using Flask, FastAPI, or Docker. Understanding of Real-Time systems, sensor fusion, or image processing. Knowledge of MLOps tools (MLflow, Airflow) and versioned model management. Exposure to cloud ML platforms (AWS Sagemaker, Azure ML). Experience in medical/regulated systems (ISO 13485, IEC 62304) is a big plus. Background in robotics or hardware/software integration.
This position is open to all candidates.
