Deep Learning Research Engineer
Indigroup is executive and specialist search company, whose quality of services is becoming a benchmark in Baltic states. Our client – Stokex Financial Technologies is looking for a passionate and creative Research Engineer with a particular focus on Deep Learning applied to sequence data in financial markets.
Stokex is small, agile and technology-driven team building statistical and mathematical models using vast data sets and cutting-edge technology. In order to help us gain an edge in the financial markets the successful candidate should both be willing to look at data utilization creatively and have a strong quantitative background. Stokex offers a supportive, sociable environment filled with bright and driven individuals. More on stokex.com
6 people research team in Vilnius office
The goal is to deliver a cutting edge product to US market
Stokex is a part of large internationally operating group of companies
"We choose to do things, not because they are easy, but because they are hard"
Description
- Work in a small, high-velocity team of engineers, researchers and analysts on researching new Deep Learning methods to be applied to financial market
- Be a champion of training and tuning ML
- Be involved in creating prototypes and running detailed tests to determine performance of real-world data on systems
- Be the voice of reason in:
- Analysing the errors of the model and designing strategies to overcome them
- Defining data augmentation pipelines
- Designing new ways to encode training data for feature engineering
- Deploying models to production
Company offers
- International work environment: the product will applied in the US market with the help of a young, talented and enthusiastic team
- A connected team: You will join a small team of Machine Learning/Deep Learning experts who are looking to transform technology
- Flexible work environment: Feel free to chose to work in a spacious and cozy offie in Vilnius city centre as well as an ability to work remotely
- Gross salary starting from 5000 EUR + KPI based bonuses
Requirements
- MSc/PhD in machine learning, computer science, statistics, or a related field or a proven track record in the industry
- 3+ years of experience with a deep learning frameworks such as TensorFlow or Keras
- Extensive experience with sequence/time-series data in financial markets, NLP, DNA-sequencing domains or similar
- Genuine interest in recent machine learning developments their applications
- Ability to write production level code in Python and R
- Proficiency in querying big datasets via a SQL dialect and visualising them
- Competency to scale workflows using cloud infrastructure
- Strong communications skills, ability to thrive in collegiate team environment, resilient mindset
Contact information
Ramūnas Volkovas
+370 677 44543
ramunas@indigroup.lt
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