Machine Learning/AI Specialist (Part-Time) - Remote

Overview

A centre of excellence (COE) is a team of senior tech experts who conduct research on the strategic tech trends, maintain top quality standards, foster professional development, and can provide you with expert consulting throughout the whole development process.

The CoE helps our clients to perform a Product Discovery Phase, build a prototype, and validate a product concept. The experts provide a client with a High-Level Architecture plan, the suggested technology stack, the product design, time and cost estimates, consulting, and a Work Breakdown Structure.

Now, we are looking for a skilled AI/ML specialist, preferably with some data science experience, who will contribute to establishing and continuously improving the AI/ML expertise in the CoE department and the company overall. The role is ideal for a professional capable of effectively researching, proposing, and implementing ML/AI solutions and strategies corresponding to clients' needs.

In Short

• Part-time position (10-15 hours per week).
• Contribute to AI/ML expertise in the CoE department.
• Research, propose, and implement ML/AI solutions.
• Train predictive models using historical data.
• Post-train or fine-tune existing models.
• Build prototypes of AI-driven analytics tools.
• Validate client ideas during pre-sales activities.
• Prepare time and cost estimations for projects.
• Join ongoing projects for consulting or supervising.
• Strong communication and presentation skills required.

Requirements

• 4+ years of experience as an ML engineer or AI specialist.
• Hands-on experience with AI technologies.
• Proficiency in ML frameworks like TensorFlow or scikit-learn.
• Familiarity with deploying AI/ML models to cloud providers.
• Knowledge of data visualization tools.
• Strong programming skills in Python.
• Experience in web development is a plus.
• Background in data science or analytics is a plus.
• Education in a relevant field is a plus.
• Upper-Intermediate spoken and written English required.

Benefits

• Work from anywhere (fully remote or in offices).
• Paid vacations and sick leaves.
• Additional days off and relocation bonus.
• Regular tech talks and educational courses.
• Paid certifications and English classes.