Machine Learning Engineer

Short Description

Sentiance is seeking for Machine Learning Engineer who will work closely with data scientists and data engineers in order to integrate and optimize machine learning and data pipelines. Also help the team to improve upon current methods and models, both from a performance and architecture point of views.

Job Description

Responsibilities:
  • You will work on state-of-the-art methods for both supervised and unsupervised learning, including the latest deep learning algorithms.
  • You will work with big data (GPS fixes and sensors) from hundreds of thousands of users.
  • You will optimize and deploy training and inference pipelines for predictions of low events/concepts (type of transports, home/work location) and human behavior (commuting, sporting, shopping).
  • You will create tooling's to improve development of machine learning pipelines.
  • You will help the team to improve upon current methods and models, both from a performance and architecture point of views. With a practical mindset you will bring these models into a production environment.
  • Your software development experience will allow you to closely collaborate with our Data Engineering team to improve our models and data flows and push them through our release process.

Desired skills and expertise
  • You have a master's degree or PhD in computer science or a related field.
  • You have experience in software engineering and deployment to production. 
  • You are an expert in Python and/or Java.
  • You have implemented and deployed a variety of machine learning algorithms in a production environment.
  • You have a deep understanding of machine learning concepts such as cross-validation, clustering, supervised vs unsupervised learning.
  • You can use big data tools such as Spark for development.
  • You can work independently and take matters into your own hands.
  • You have the Ability to critically interpret output quality based on quantitative analysis and tooling

Bonus
  • Experience in processing of sensor data from mobile devices or wearable's.
  • Data engineering expertise.
  • Knowledge of stream processing (Kafka).
  • Knowledge of mobile development constrains and peculiarities

Machine Learning Engineer
Mid-Senior-level Information | Technology | Information Technology Full-time Engineering | Other | Information Technology Python | Machine Learning Engineer | SAS | Hadoop | Java
Sentiance is a data science company turning IOT sensor data into rich insights about people's behavior and real-time context. These insights enable companies to understand how customers go through their everyday lives, discover and anticipate the moments that matter most, and adapt their engagement to real-world behavior and real-time context.