Middle Machine Learning Engineer

Pearl (JustAnswer) is seeking a Middle Machine Learning Engineer to join their ML department. In this hands-on technical role, you will build, deploy, and optimize ML solutions end-to-end, applying expertise in Python and modern AI tools to drive product quality and user experience. You'll collaborate with cross-functional teams on high-impact initiatives involving LLMs, Generative AI, and ML infrastructure.

• 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 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

• 3+ years of hands-on experience in ML Engineering or Data Science
• 3-4+ 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)

Why Join Us:

• High-Impact Data: Work with vast datasets generated by over a million daily visits, uncovering valuable insights
• Collaborative Analytics Team: Join a team of 30+ skilled analysts who actively share knowledge and support each other
• Cutting-Edge Tools & Techniques: Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges
• Data-Driven Culture: Thrive in an environment where data informs every decision and drives continuous improvement