HTEC Group is a global consulting, software engineering, and digital product development company that empowers the world's best high-tech companies, disruptive startups, and global enterprises with innovative product design and sophisticated engineering services.
HTEC Group was founded in 2008 in Belgrade, Serbia and today has its global headquarters in San Francisco. The company has consultancy, innovation, and product design offices in Silicon Valley, New York, and London, with its technological heart spread across development centers in Central and Southeast Europe. Overall, HTEC employs more than 2,000 highly skilled professionals in 29 locations in 12 countries.
HTEC combines Silicon Valley-based design thinking with the best engineering talent to support global clients with complete digital product development, from strategy and conceptualization to digital product design and agile engineering at scale. The company possesses vast expertise across a multitude of domains, including Healthcare, Retail, Transportation and Smart Mobility, Logistics, FinTech, Green Energy, Media, and Deep Technology.
From FinTech and Retail to AI, Health Tech, and Transportation – there is virtually no domain or industry that can’t vastly benefit from Data Science. The possibilities that this field offers are almost limitless – and HTEC is on the lookout for Data Scientists eager to tap into that potential. Some of our success stories in this domain include building a maritime intelligence platform, an AI-powered expert search engine, a data platform that leverages Lakehouse architecture, and many more. If you would like to become a part of our team, check out the description below and apply.
Implementing statistical and machine learning methods that could be used to solve a given problem, then evaluating and presenting the results
Data acquisition, exploration, cleaning, augmentation, and visualization
Designing, conducting, and tracking experiments in different domains
Analysing and addressing the errors of applied machine learning models and algorithms
Participating in solution productization, high-level design, and low-level implementation
Driving technical quality of a solution and managing technical debt
Ensuring that the solutions are well-documented and presentable to the stakeholders
Participating in the technical investigation (Spike) and prototyping (PoC)
Communicating and collaborating with engineering teams, product teams, and stakeholders in all project phases
Demonstrated proficiency in designing and delivering robust and scalable distributed systems in production
statistical data analysis
supervised and unsupervised machine learning
transfer learning and ensemble learning
Proficient in at least one of the commonly used frameworks – TensorFlow, PyTorch, Keras, scikit-learn, etc.
Experienced in working with structured and unstructured data, relational and non-relational databases
Experienced with Python and familiar with object-oriented programming, clean coding, and version control
Familiarity with algorithmic complexity, GPU/CPU utilization, and I/O bandwidth
Creates pragmatic technical documentation with well-understood diagrams
Able to explain technical points using business language and presentations
Nice to have:
Striving for constant improvements in solution design
Keeping up with the new trends in the field
Experienced in building solutions based on deep learning models
Experienced in working with some of the following data types: images, text, time series, spatial data, etc.