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).
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).