Machine Learning Engineer vacancy in Remish Luxembourg

Machine Learning Engineer

We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in Remish. As a Machine Learning Engineer, you will be responsible for developing and implementing cutting-edge machine learning algorithms and models to solve complex business problems. You will work closely with cross-functional teams to gather requirements, build data pipelines, and deploy models into production.

Responsibilities:
-Develop and implement machine learning algorithms and models to solve business problems
-Work closely with cross-functional teams to gather requirements and define project scope
-Design and build data pipelines to extract, transform, and load data for training models
-Implement model evaluation metrics and perform model validation
-Deploy models into production environment
-Monitor model performance and make necessary updates or improvements
-Stay updated on the latest advancements in machine learning techniques

Requirements:
-Bachelor's or Master's degree in Computer Science, Data Science, or related field
-Minimum of 2 years of experience as a Machine Learning Engineer or related role
-Strong understanding of machine learning concepts such as supervised/unsupervised learning, regression/classification, feature engineering, etc.
-Proficiency in programming languages such as Python, R, Java, or C++
-Experience with machine learning libraries such as TensorFlow, PyTorch, scikit-learn
-Knowledge of cloud computing platforms such as AWS or Azure
-Good communication skills and ability to work in a collaborative team environment

Salary: $1300 per month

Location: Remish (accommodation provided)

Contract: 1 year (with possibility of extension)

This is an excellent opportunity for a fresh graduate looking to kickstart their career in the exciting field of machine learning. We welcome candidates from all backgrounds who possess the required skills and motivation to excel in this role.

Note: This job is open only for Canadian nationals or individuals with valid work authorization in Canada. No English language skills are required for this role.