Machine Learning Engineer vacancy in St-Petersburg Russia

Machine Learning Engineer

As a Machine Learning Engineer, you will be responsible for designing, developing, and implementing machine learning algorithms and models to solve complex business problems. You will work with large datasets and collaborate with cross-functional teams to identify opportunities for machine learning solutions. You will also be involved in data cleaning, feature engineering, and model selection to ensure the accuracy and efficiency of the algorithms.

Your key responsibilities will include:
- Conducting research and staying updated on the latest advancements in machine learning techniques.
- Designing and developing machine learning models for predictive analytics, anomaly detection, and natural language processing.
- Collaborating with data scientists, software engineers, and other stakeholders to understand business needs and translate them into technical requirements.
- Preparing and cleaning large datasets for analysis.
- Developing feature engineering pipelines to extract relevant features from the data.
- Evaluating model performance through metrics such as accuracy, precision, recall, and AUC.
- Tuning hyperparameters of machine learning algorithms to improve model performance.
- Deploying models into production environments.

Requirements:
- Bachelor's or Master's degree in Computer Science, Statistics or a related field.
- Strong knowledge of machine learning techniques such as regression, decision trees, random forests, neural networks etc.
- Experience working with large datasets using SQL or NoSQL databases.
- Proficiency in programming languages such as Python or R for data analysis and model development.
- Familiarity with machine learning libraries such as TensorFlow or scikit-learn.
- Experience with data cleaning techniques and feature engineering.
- Ability to communicate technical concepts to non-technical stakeholders.

Salary: $1500 per month (negotiable based on experience)

City: St-Petersburg

*Preference given to Canadian citizens or foreigners with valid work visas. This is a full-time position without accommodation provided. Freshers are welcome to apply.*

We are committed to creating a diverse and inclusive workplace and encourage applicants from all backgrounds to apply.