Full time

Seven Bridges Centralna Srbija, Serbia (201-500 employees)

https://www.sevenbridges.com/

About the job

At Seven Bridges we are building the most advanced cloud computing platform for genomics data analysis. Our team and product enable scientists to analyze genomic data faster and more efficiently than ever, so they can focus on making progress in genomics and personalized medicine. Through our collaboration with the largest genomics projects, we connect the world’s biomedical information to enable the most efficient analysis at scale. We are a global company with offices in the US, UK, Serbia and Turkey, with roughly 300 employees and rapidly growing!

Do you want to help us engineer a healthier tomorrow, together?

As a member of our Engineering team you will have the opportunity to extend our platform and be involved in building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and various ‘big data’ technologies. Seven Bridges is a ‘Remote Friendly’ company. The successful candidate for this position could be remote within Serbia, or in Belgrade / Novi Sad offices.

Some of the problems we are solving are:

• Data wrangling and exploration; analyzing and organizing raw data
• Working with our bioinformaticians on developing tools and pipelines for structured transformation of rich datasets
• Designing schemas and data modeling
• Query optimizations

Do you have what it takes?

• B.S., M.S. or Ph.D. degree in Computer Science or a related technical field
• At least 3 years of professional experience working with data
• Experience with relational and non-relational databases
• Experience with SQL
• Experience in the design, optimization and support of big data ecosystems
• Experience with Python and/or Java programming languages
• Experience working with one or more of the following(or related) technologies: Snowflake, Amazon Redshift, Amazon Athena, Google BigQuery, Azure, Synapse.
• Experience using RCFile, Apache ORC and/or Apache Parquet
• Experience with cloud service providers like AWS, GCP, Azure…
• Experience with schema design and dimensional data modeling
• Ability to design, build, and maintain the ETL pipeline and data warehouse
• Writes unit/integration tests, contributes to engineering wiki, and documents work

It would be great if you:

• Have a strong bioinformatics background
• Previous experience with genomic, phenotypic, EMR and EHR data, data which includes time series and many other types of data

Full-time · Associate

Heads Talent Solutions Belgrade, Serbia (11-50 employees · Human Resources Services)

https://www.headstalent.com/

About the job

We have partnered with one of the leading telco companies in our region.

Due to their further development, we are searching for a motivated professional (junior or medior level) to join their growing team.

The Data Science team is utilizing advanced machine learning algorithms to support the marketing department by data-driven engaging customers and maximizing value to the business. Also, support the technical department by providing methods to increase network performance and perform smart network planning.

Delivery of Data Science team relay on a vast amount of data stored on state-of-the-art Big Data platforms.

 

What they will expect from you:

• Collaborate with domain knowledge experts and data engineers to fully understand project goal and relevant data meaning
• Perform data discovery, incorporation of new data sources, data analyses, data quality control, and maintain documentation
• Build advanced machine learning models such as neural networks for predicting customer behavior, NLP for sentiment analysis, clustering different customer groups, etc.
• Evaluation of proposed model performance on live data.
• Deploy in production end-to-end flow containing ETL, machine learning, and targeting pipelines.
• Be responsible for every single step in the lifecycle of the model by maintaining all deployed pipelines, monitoring KPI, and performing improvements.

 

For a good start you will need:

• University degree in Electrical Engineering, Mathematics, or Organizational Sciences
• A mathematical and statistical background, with a problem-solving attitude and critical thinking
• Coding skills for data transformation and analysis using languages such as SQL, and Python (Data science set: Pandas, Numpy, Matplotlib…)
• Experience with data visualization and data visualization tools
• Experience with machine learning frameworks TensorFlow, Keras, PyTorch, sci-kit-learn, H2O…
• Experience with HDFS and Spark (PySpark)
• Proficient in both spoken and written English
• Personal skills: positive, self-motivated, result-driven, curious, self-learner

Full-time · Mid-Senior level

Wonder Dynamics Niš, Centralna Srbija, Serbia (11-50 employees · Entertainment Providers)

https://www.wonderdynamics.com

 

About The Company

Focused on the future of filmmaking, Wonder Dynamics’ mission is to revolutionize the production and post-production process by leveraging state-of-the-art AI. They are striving to democratize the use of visual effects which will pave the way for the next generation of filmmakers. That mission attracted some of the most influential individuals in the film and tech industry that are now involved in their team.

Wonder Dynamics is backed by Epic Games, Samsung, Horizons Ventures (a Hong Kong VC firm with early investments in Skype, Siri, Facebook and more) and Founders Fund, a leading Silicon Valley VC that funded some giants like Space X, Facebook, Spotify, DeepMind, etc.

Their Advisory Board consists of leaders in Hollywood and Silicon Valley:

• Joshua Baer, founder/CEO of Capital Factory;
• Terry Dougas, Producer and financier of Film and TV. Founder of Rhea Films,1821 Media
• Angjoo Kanazawa, assistant professor at UC Berkeley and Google research scientist;
• Joe Russo Director, screenwriter, and Producer (directed Avengers: Infinity War and Avengers: Endgame)
• Robert Schwab – Private equity investor, President, and CEO of R&L Properties.
• Steven Spielberg – Film director, producer, and screenwriter
• Antonio Torralba – Professor and Head of AI and Decision making, EECS, Massachusetts Institute of Technology (MIT).
• Gregory Trattner – President, Film Finances Inc. (World leader in completion guarantees and film services)

About The Role

The ideal candidate will bring passion for AI, innovative technologies, the film industry, and experience in the fields of computer vision and computer graphics with a focus on machine learning. You will design and implement cutting-edge machine learning algorithms in the fields of visual effects, motion capturing, rendering, as well as in many other film production areas.

What We Are Looking For

• 2 years of experience, or an advanced degree (MSc).
• Experience in applied Deep Learning (DL) and Computer Vision (CV) concepts including but are not limited to: CNNs, RNNs, Autoencoders, Transfer Learning.
• Hands-on experience (academic and/or industrial) in 3D Pose Estimation and Motion reconstruction from images and videos
• Proficiency in general purpose programming languages: Python, and C++.
• Experience with ML frameworks such as: PyTorch, Tensorflow, etc.
• The ideal candidate would be very well acquainted with Computer Graphics techniques, Neural Rendering, and Numerical Optimization
• (Optional) Knowledge of 3D packages such as Blender, Maya, or any game engine technology
• BSc in Computer Science, Mathematics, Electrical Engineering, or related technical field.
• Ability to speak and write in English fluently and idiomatically.