Applied Machine Learning Engineer
Applied Machine Learning Engineer
Posted today
SENIORITY
Senior
About the role
- Study and transform data science prototypes
- Design machine learning systems
- Research and implement appropriate ML algorithms and tools
- Develop machine learning applications according to requirements
- Select appropriate datasets and data representation methods
- Run machine learning tests and experiments
- Perform statistical analysis and fine-tuning using test results
- Train and retrain systems when necessary
- Extend existing ML libraries and frameworks
- Keep abreast of developments in the field
- 3-5 years of proven experience as a Machine Learning Engineer or a similar role
- Strong experience with Deep Learning
- Understanding of data structures, data modeling, and software architecture
- Deep knowledge of math, probability, statistics, and algorithms
- Ability to write robust code in Python, Java, and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skillsBSc in Computer Science, Mathematics, or a similar field; a Master’s degree is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
