The position requires a Master's degree, or foreign equivalent, in Computer Science, Data Science, Software Engineering, Physics, or a related field plus four (4) years of post-baccalaureate work experience in the job offered or in a Technical Product Owner - related occupation. Position also requires demonstrable experience with each of the following:

• Demonstrable experience with algorithm development for industrial applications;
• Signal processing; Accelerometers; Lidar; Radar; GPS; Camera; Sonar/Acoustic sensors.
• Sensor fusion; Kalman filters; PCA; Bayesian networks; Convolutional Neural Networks.
• Demonstrable experience in development and application of Machine Learning, Deep Learning Algorithms and Software Development:
• Programming languages including Python and C++, and corresponding Frameworks and libraries including Numpy, PyTorch, or Tensorflow.
• Algorithms: PCA, Decision trees, Convolutional Neural Networks, LSTM, Transformer-based architectures, LLM.
• Experience of developing end-to-end ML solutions, starting from ideation towards deployment and maintenance.
• Understanding of modern cloud-based platforms and tools for ML/AI solutions (Azure, AWS, GCP, DataBricks, Snowflake)
• Understanding of software architecture, design principles and development lifecycle.
• Understanding of API development and management.
• Proficiency in software development methodologies including Agile and Scrum.
• Demonstrable experience with Analysis of measured data:
• Knowledge of application of mathematical concepts including Probability and Statistics, Linear algebra and Calculus to measured data.
• Knowledge of Data bases and associated tools ElasticSearch, MySQL, or MongoDB.
• Demonstrable experience in Technical Project Management:
• Project management skills, including planning, scheduling, and tracking progress.
• Familiarity with DevOps/MLOps practices.
• Demonstratable experience/knowledge in/of Non-destructive testing:
• Data acquisition techniques: Eddy-current, magnetic flux leakage, ultrasonic, visual, and thermography.
• Familiarity with basic concepts of material science, structure failure and mechanical design.
• Demonstratable Product Management skills:
• Experience in managing the entire technical lifecycle from ideation to launch and maintenance (Ability to define product vision, strategy, and roadmap).
• Skills in gathering and defining technical and business requirements.

Domestic (U.S.) travel and international travel is required up to 10% for travel and collaboration on projects. Telecommuting permitted up to 100%.

To Apply: e-mail resume to sbello@rosen-nxt.com referencing job code 22031.6. EOE.