Pearl - Lead Machine Learning Engineer
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Requirements
• 3+ years of hands-on experience in ML Engineering or Data Science. • 5-6+ 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. • Strong analytical and problem-solving mindset. • Experience with .NET for integration work • Upper-intermediate English proficiency (B2 or higher). • Familiarity with Databricks or similar data platforms (nice-to-have). • Exposure to AWS or other cloud-based ML environments (nice-to-have). • Our Commitment to an Inclusive Workplace
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. • 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 clearly 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.
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