- Lead end-to-end development and deployment of GenAI and machine learning models, including LLMs, transformer architectures, and deep learning solutions.
- Design and implement advanced recommendation systems — Search → Match, Search → Match → Rank, content-based, collaborative, and two-tower architectures.
- Build data-driven models that address critical business questions and drive strategic, measurable outcomes.
- Design and conduct rigorous data analyses with a focus on study design, methodology, algorithms, and statistical modeling.
- Build AI solutions aligned with the FATE framework to support fairness, accountability, transparency, and explainability.
- Translate complex data insights into strategies aligned with business goals.
- Use Python, SQL, and a modern data stack (Azure, Snowflake) to build scalable, efficient solutions.
- Use NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn to deliver production-grade ML models. Partner cross-functionally with engineering, product, and analytics teams; clearly communicate trade-offs,assumptions, and uncertainties to stakeholders.
- Establish and champion best practices for shipping ML models to production.
Requirements
- Master's degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics,
Mathematics, or another quantitative field. - Deep, hands-on expertise in ML/AI beyond tutorials or side projects.
- Proven production experience with LLMs, RAG, transformer architectures, deep learning, XGBoost, CatBoost,
multivariate regression, classification, clustering, and topic modeling. - Experience building recommendation systems, including Search → Match / Search → Match → Rank frameworks
and content, collaborative, and two-tower architectures. - Strong programming skills in Python and SQL; fluency in NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn.
- Proficiency with visualization tools such as Power BI.
- Practical knowledge of cloud platforms, particularly Azure and Snowflake.
- Demonstrated ability to ship ML models to production and manage deployment/maintenance.
- Experience working in both Agile and Waterfall environments.
- Self-directed, works effectively with minimal supervision; up to ~10% international travel may be required.
Benefits
- Competitive compensation and benefits.
- Opportunity to shape technology strategy and business outcomes.
- Strong learning and leadership growth opportunities.
Skills Required
- Master's degree in Computer Science, Computational Sciences, Data Science, Machine Learning, Statistics, Mathematics, or another quantitative field
- Deep hands-on expertise in machine learning and artificial intelligence beyond tutorials or side projects
- Production experience with LLMs, RAG, transformer architectures, deep learning, XGBoost, CatBoost, multivariate regression, classification, clustering, and topic modeling
- Experience building recommendation systems, including Search to Match, Search to Match to Rank, content-based, collaborative, and two-tower architectures
- Strong programming skills in Python and SQL
- Fluency in NumPy, Pandas, PyTorch, TensorFlow, and Scikit-learn
- Proficiency with visualization tools such as Power BI
- Practical knowledge of Azure and Snowflake
- Demonstrated ability to ship ML models to production and manage deployment and maintenance
- Experience working in Agile and Waterfall environments
- Ability to work independently with minimal supervision
What We Do
Looking for a self-managed professional team to help take your technology and product strategy to the next level? From leadership consulting to hands-on software delivery, we can support you in many ways. 1. Mobile, Web, Backend Software Development 2. Technology Infrastructure Solutions 3. Technology Scaling Solutions 4. Adopting Emerging Tech like Artificial Intelligence 5. Product & Technology Leadership Our custom software development services specialize in end-to-end product development. With a team of experienced professionals, we can help you navigate the complex world of technology and bring your vision to life. We offer on-demand product leadership and strategic guidance to help your business excel without the full-time commitment of a Chief Product Officer. Our team of experienced product experts works closely with you to understand your unique needs and craft tailored product strategies that align with your business objectives. We provide on-demand technical leadership and expertise to help your business scale and innovate without the full-time commitment of a Chief Technology Officer. As your tech leader, we focus on driving your technology strategy, optimizing your software architecture, and fostering a culture of innovation to propel your business forward. Let us be your go-to resource for all things product and technology. Contact us to learn more about how we can help your business succeed.
