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Strategic Staffing Solutions (S3) is global provider of Staff Augmentation and Information Technology consulting services. S3 provides services to Fortune 500 companies and FTSE100 customers around the world.
Strategic Staffing Solutions International (S3I) was founded nearly 20 years ago in Vilnius, Lithuania as European headquarters of S3. S3I serves the professional staffing and business process outsourcing needs of customers in multiple countries in Europe. S3I has been nominated as one of the top recruitment firms in Central and Eastern Europe for 3 consecutive years.

Visi įmonės darbo pasiūlymai (58)

Paskutinio mėnesio (2018-10) vidutinis darbo užmokestis: 1502.39 EUR

Vidutinis darbo užmokestis palyginti su tą pačią ekonominę veiklą vykdančiomis įmonėmis: +47.44%

Darbo užmokeščio grafikas

Area of competence:

IT, telecommunication, technologies

Strategic Staffing Solutions International client - 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. Sentiance context intelligence enables solutions for lifestyle based insurance, contextual marketing & commerce, smart mobility, connected health, smart home, smart city and connected car.

Currently Sentiance is expanding the team and is looking for:

Machine Learning Engineer

You are a seasoned software engineer with experience in machine learning. In particular, you have worked in a production environment, implemented and deployed machine learning and/or data pipelines. You will work closely with data scientists and data engineers in order to integrate and optimize machine learning and data pipelines.

Main 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 toolings to improve development of machine learning pipelines.
  • You will help the team to improve upon current methods and models, both from a performance and architercture 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.
  • You will work in our office in Vilnius (Lithuania)

Desired skills and expertise:
  • You have a masters 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, supervise 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 wearables.
  • Data engineering expertise.
  • Knowledge of stream processing (Kafka).
  • Knowledge of mobile development constrains and peculiarities

Company offers:
  • Experience in processing of sensor data from mobile devices or wearables.
  • Data engineering expertise.
  • Knowledge of stream processing (Kafka).
  • Knowledge of mobile development constrains and peculiarities

Please send your application to cvLT@strategicstaff.com
Only selected candidates will be contacted.
Announced:2018.12.07
Valid till:2019.01.07
Contact person:Strategic Staffing Solutions International
Phone:+370 5 2526156
E-mail:
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