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.
Opis posla
Are you eager to be at the forefront of large-scale ML systems, blending technical prowess with safety considerations? Dive into a role that combines the mastery of cutting-edge ML technologies and the importance of user trust. As a Data Scientist, you'll be at the helm of constructing advanced systems while ensuring they're robust and aligned with our principles.
Responsibilities:
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
Analyzing 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
Kvalifikacije
Required qualifications:
Demonstrated proficiency in designing and delivering robust and scalable distributed systems in production
Proficient in: statistical data analysis, supervised and unsupervised machine learning, transfer learning and ensemble learning, feature engineering, and optimization techniques
Proficient in at least one of the commonly used frameworks: TensorFlow, PyTorch, Keras, scikit-learn
Experienced in building application that leverage generative AI technology, e.g. chatbots, FAQ systems
Experienced with some of the LLM models in the market, e.g. GPT3.5 and newer, Llama, phi2, 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, containerization, model serving, and version control
Familiarity with any of the generativeAI frameworks, e.g., Langchain, Llamaindex, Semantic kernel, Propmptflow
Familiarity with algorithmic complexity, GPU/CPU utilization, and I/O bandwidth
Create pragmatic technical documentation with well-understood diagrams
Able to explain technical points using business language and presentations
Dodatne Informacije
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.
Experienced with cloud platforms
Hand-on experience in building AI applications as services or parts of much larger systems