Lead Machine Learning Engineer

Stack

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
• ▹Apply statistical and machine learning techniques to real-world business problems
• ▹Work on projects involving LLMs and Generative AI technologies
• ▹Analyze large datasets to identify trends, insights, and optimization opportunities
• ▹Integrate ML models into production systems and monitor their performance
• ▹Communicate findings and recommendations to technical and non-technical stakeholders
• ▹Experiment with emerging AI tools and methodologies to enhance existing workflows
• ▹Ensure data quality, reliability, and scalability in all deliverables

Requirements

• ▹3+ years of hands-on 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, such as OpenAI, Copilot, Cursor
• ▹Ability to build and deploy ML models end-to-end
• ▹Strong analytical and problem-solving mindset
• ▹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

About the company

Pearl is AI for professional services at global scale, combining advanced AI with verified human expertise. Since 2003, its network has connected millions of customers with licensed professionals across 196 countries.