Machine Learning Engineer

Stack

Responsibilities

• ▹Designing, implementing, and optimizing machine learning models to solve complex business problems
• ▹Overseeing the entire machine learning lifecycle, from data collection and pre-processing to model deployment and monitoring
• ▹Working closely with data scientists, software engineers, and product managers to integrate machine learning models into production systems
• ▹Staying up to date with the latest advancements in machine learning and applying them to improve model performance and functionality
• ▹Writing and maintaining high-quality, production-ready code for machine learning models and services
• ▹Providing guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement

Requirements

• ▹3-5 years of experience as a Machine Learning Engineer, with a strong track record of deploying models in production environments
• ▹Proficiency in Python; experience with MLFlow and Spark would be considered an asset
• ▹Experience with cloud platforms (AWS, GCP, Azure); experience with AWS SageMaker would be preferred
• ▹Strong problem-solving skills and the ability to analyze complex data sets to derive actionable insights

Soft skills

What we offer

• ▹Fitness-wellness allowance
• ▹Company mobile phone for private use with 100 GB
• ▹Annual HUF devaluation compensation