Lead Machine Learning Engineer

UkraineOn-site

Responsibilities

Build, train, and deploy ML models that improve product performance and monetization.
Collaborate with data, product, and engineering teams across multiple internal initiatives.
Design and implement data pipelines for extraction, transformation, and analysis.
Analyze large datasets to identify trends, insights, and optimization opportunities.
Integrate ML models into production systems and monitor their performance.
Ensure data quality, reliability, and scalability in all deliverables.

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise to deliver help that is accurate, accountable, and fast.
You'll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end.
You'll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure.
The role offers exposure to complex data challenges and the opportunity to shape Pearl's AI-driven capabilities. What You'll Do
Apply statistical and machine learning techniques to real-world business problems.
Work on projects involving LLMs and Generative AI technologies.
Experiment with emerging AI tools and methodologies to enhance existing workflows.
experience in ML Engineering or Data Science. 5+ years total
experience in software or data engineering.
Strong programming skills in Python.
Proficiency in SQL for data querying and analysis.
Solid understanding of data processing, analysis, and visualization. •
Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
Ability to build and deploy ML models end-to-end.
Experience with .NET for integration work
Upper-intermediate English proficiency (B2 or higher). Nice to have
Familiarity with Databricks or similar data platforms.
Exposure to AWS or other cloud-based ML environments.