Machine Learning Engineer

Inturai is looking for a machine learning engineer with Digital Signal Processing skills to build efficient, data-driven AI/ML models that advance our real time RF data analysis capabilities. The candidate should be well versed in RF, Digital Signal Processing (DSP) and ML programming, with the ability to confidently assess, analyze, and organize large amounts of real time data. The candidate should also be able to execute tests and optimize Inturais machine learning models and algorithms.

Objectives of this role

• Design and develop machine learning algorithms and deep learning applications and systems for Inturai
• Solve complex problems with real time digital signal data processing (DSP), and optimize existing machine learning libraries and frameworks.
• Collaborate with product, data scientists, architects, engineers, and SME in integrating and deploying models in production systems.
• Identify differences in data distribution, operating environment that could potentially affect model performance in real-world applications.
• Test and Ensure algorithms generate predictable outcomes.
• Stay up to date with developments in the machine learning industry.

Responsibilities

• Study and transform DSP, data science prototypes and apply appropriate machine learning algorithms and tools to create ML models.
• Run machine learning tests and experiments, and document findings and results
• Train/retrain, and monitor machine learning systems and models as needed
• Construct optimized data pipelines to feed machine learning models
• Consult with managers, SMEs to determine and refine machine learning objectives
• Extend existing machine learning libraries and frameworks

Skills and qualifications

• Computer programming skills together with understanding of Signal Processing (RF and WiFi Channel State Information).
• Good math with a deep understanding of probability, statistics, and ML algorithms.
• In-depth knowledge of machine learning frameworks based on like Keras/Tensorflow/SenseFi/PyTorch.
• Experience in working with RF/WiFi enabled SBC hardware.
• Familiarity with data structures, data modeling, and software architecture

Preferred qualifications

• Bachelor’s degree (or equivalent) in Electronics, Computer Science, or related field.
• Proven experience as a machine learning engineer or similar role
• Experience with Tensor, Python, Java, and R based implementations
• Experience with Digital signal processing
• Experience in building and consuming APIs
• General knowledge of building machine learning systems
• Innovative mind with a passion for continuous learning