Join the Cambridge Technology team and grow your career. We are solving real world problems with creative innovation at some of the most recognizable corporations in the world. From building entire infrastructures or platforms to solving complex IT challenges, we help businesses accelerate their digital transformation and become AI-first businesses. With over 20 years of expertise as a technology services company, we enable our customers to stay ahead of the curve by helping them figure out the perfect approach, solutions, and ecosystem for their business.

Our experts help customers leverage the right AI, big data, cloud solutions, and intelligent platforms that will help them become and stay relevant in a rapidly changing world.

We are seeking a talented Python Machine Learning Engineer to join our team to work on activity labeling for wearable devices. The successful candidate will be responsible for designing, developing, and implementing machine learning algorithms to classify different activities performed by users while wearing our wearable device.

Responsibilities:

Design and develop machine learning algorithms to accurately classify user activities based on sensor data collected from wearable devices.
Analyze sensor data from the wearable devices and identify relevant features for activity classification.
Work closely with the data engineering team to collect, preprocess and clean data from the wearable devices.
Train and validate machine learning models on large datasets to achieve high accuracy in activity classification.
Work with the product team to integrate the machine learning algorithms into our wearable device and ensure that the activity labeling is working seamlessly.

Requirements:

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Solid understanding of machine learning concepts and algorithms, including supervised and unsupervised learning, classification, and clustering.
Experience working with Python libraries such as TensorFlow, Keras, PyTorch, or scikit-learn.
Experience with data preprocessing and cleaning techniques for sensor data.
Knowledge of signal processing techniques such as Fourier transforms and wavelet transforms.
Experience with wearable device technology and sensors is a plus. strong problem-solving skills and ability to work independently.
Excellent communication skills and ability to work collaboratively with a team.
If you are passionate about machine learning and wearable technology and want to work on cutting-edge projects, we encourage you to apply for this position.

Experience Level:

3 - 5 Years

Only considering candidates based in the US.

Cambridge Technology (CT)

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Python Machine Learning Engineer (Remote)