Data Science and Machine Learning Engineer

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 DSP (RF and WiFi Channel State Information).
● Extensive 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
● Impeccable analytical and problem-solving skills
● Excellent time management and organizational skills
● Desire to learn

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
● Excellent communication and collaboration skills
● General knowledge of building machine learning systems
● Innovative mind with a passion for continuous learning