Machine Learning Engineer

Good to know

Goals & Performance Metrics:

Performance Appraisals each year, midterm assessment are done upon requirements

N+1 Management Style:

Manager is based in Europe, with minimal supervision, so person should be autonomous but accountable.

Career Progression Opportunities:

Possible career growth: Senior Machine learning engineer, Assistant Manager or Manager

Benefits & Culture:

Flexible and friendly environment - our office is certified Great Place to Work.

Candidate Selection Criteria:

You are knowledgeable about production-grade Machine learning inference and model training lifecycle.
2 or more years as a Machine Learning Engineer.
Strong experience in Python programming language.
Strong experience in PyTorch or Tensorflow.
Strong experience in NLP and/or CV.
Experience with generative models (GPT) and prompt engineering.
Experience with the following libraries: numpy, pandas, opencv, spacy, nltk, scikit-learn.
English language (Intermediate and higher).

GOOD TO HAVE:

Experience with Azure Cloud services (or alternative)
Experience with OpenAI platform (or alternative).
Experience with HuggingFace.
Experience with data processing pipelines.
Knowledge of data analysis, statistics and data visualisation (descriptive statistics, statistical tests, plotting, dashboards, etc.).

Work condition:

Hybrid mode of working + work Monday to Friday- 08:30 -17:30
Week-ends and Public Holidays off!

Message from your future manager N+1:

Our flexibility and fun atmosphere at work is our main strength - our low turnover rate is a reference!