Lead Machine Learning Engineer

About the Role

As a Lead Software Engineer in our Machine Learning department you will take ownership of high-impact initiatives that drive product quality monetization and user experience. You’ll apply your expertise in Python data analysis and modern AI tools to build deploy and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. 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 JustAnswer’s AI-driven capabilities.

What You’ll Do

• 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.

What We’re Looking For

• 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).