Machine Learning Engineer (Contractor) (вакансія неактивна)

At LS, people come first. We know that our success is based on our people’s achievements. Each and every one of our 200 team members is highly valued for their hard work, and we’re always excited to welcome new specialists ready to embrace challenges with us.

Necessary skills and qualifications:

• Minimum of 3 years in a Data Scientist or Machine Learning Engineer role
• An academic degree in Data Science, Computer Science, or a closely related technical field
• Solid understanding of the full ML lifecycle, including problem framing, feature engineering, training, validation, and production deployment
• Strong skills in data preprocessing, normalization, feature engineering, and general data engineering practices
• Advanced knowledge of NumPy, Pandas, Matplotlib, and related libraries
• Practical expertise with ML libs: Scikit-learn, XGBoost, SciPy, librosa, etc.
• Skilled in working with both relational and non-relational DBs
• Competence in building services using FastAPI or Flask for backend service development
• Upper-intermediate level of English proficiency
• Proficiency in using Git for version control and collaboration

Will be a plus:

• Background in audio data processing
• Hands-on experience with AWS cloud services
• Integration of algorithms or models into embedded systems
• Familiarity with ClickHouse

Responsibilities

• Build and maintain scalable, production-grade data pipelines for audio processing flows
• Implement an algorithm for finding similar music in a database
• Provide algorithm tuning after QA and client feedback
• Establish algorithm evaluation, versioning, and deployment workflows
• Integrate implemented ML algorithms into the project
• Work cross-functionally with engineers, embedded engineers, cloud engineers, and business teams to deliver end-to-end ML solutions aligned with business needs