Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Àlber Blanc Capital.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Use scientific and quantitative techniques to create machine learning models for large datasets
- Research alpha and execution approaches, then improve how the models perform
- Examine current and new datasets to develop features and uncover useful signals
- Carry models from an initial hypothesis through launch and ongoing upkeep
What you bring
- A STEM qualification from a top-tier university, or a strong record in data analysis, research or data science
- A strong grasp of probability, statistics, mathematics and algorithms
- Deep machine learning knowledge and hands-on experience with predictive modeling tools, libraries and workflow platforms
Who this fits
This mid-level role suits you if you can pair quantitative research with end-to-end machine learning work. The work spans model building, research, deployment and maintenance.
From the employer
As a Machine Learning Engineer at Alber Blanc, you will be responsible for building ML models for large datasets and alpha research. Excellent math, ML, and DS skills would be a great fit for this role.
Responsibilities
Apply scientific, mathematical, and statistical methods to build ML models
Perform alpha, execution research, and optimize the model’s performance
Explore existing and new datasets to design features and find insights
Develop ML models full cycle - from hypothesis to deployment and maintenance
Requirements
STEM degree from one of the top-tier universities OR proven track of success as a Data Analyst/Researcher/Data Scientist
Advanced understanding of probability, statistics, math, and algorithms
Deep expertise in the field of Machine Learning
Experience with ML predictive modeling tools, libraries, and workflow platforms
Nice to have
Personal achievements such as ICPC, IMC, IOI, Codeforces Red+, Kaggle, etc.
Published articles in the field of Data Science/ML (Q1-Q2)
Pet projects or open-source repositories dedicated to trading, finance, or the quantitative field
What we offer
Result-oriented bonuses along with an extraordinary salary
Transparent processes and lack of red tape
Competitive environment with an opportunity to make decisions and change the company
One of the best levels of expertise on the market