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Machine Learning Engineer

78% Flex

EXTRA HOLIDAYS - FULLY FLEXIBLE

Remote:

Full Remote

Work from:

United Kingdom

Offer summary

Qualifications:

Experience in machine learning and data science, Proficiency in developing, deploying ML pipelines.

Key responsabilities:

Develop and maintain data pipelines
Conduct data analysis to improve models
Perform experiments to troubleshoot ML models

Torchinsky Human Resources, Staffing & Recruiting Small startup https://www.torchinsky.net/

2 - 10 Employees

See more Torchinsky offers

Job description

Your missions

This is a remote position.

My client is seeking a skilled ML Engineer to join their dynamic team. The ideal candidate will play a critical role in building a robust system for validating data and machine learning models. This position requires a professional who is thoughtful, detail-oriented, and meticulous, with a strong inclination towards deep diving into code and a methodical approach to problem-solving.

Key Responsibilities:

Develop and maintain data pipelines for training and evaluating machine learning models.
Conduct exploratory data analysis to improve model accuracy and performance.
Perform experiments and evaluations on machine learning models to identify, troubleshoot, and resolve any issues.

Requirements

Key Qualifications:

Proven experience in machine learning and data science.
Expertise in developing and deploying machine learning pipelines and workflows, including data preprocessing, feature engineering, model training, and evaluation.
Strong analytical and problem-solving skills with keen attention to detail.

Benefits

Why Join Our Client's Team?

Engage in challenging projects with numerous opportunities to showcase your skills.
Work alongside a welcoming and highly qualified international team.
Access to state-of-the-art hardware and cutting-edge technology.
Enjoy a flexible working environment, with options to work from comfortable offices in Dubai, London, or remotely from anywhere in the world.
Generous benefits, including 40 paid days off per year and competitive salary packages with performance-based bonuses.