This project involves a
complex, production-grade machine learning solution with ongoing opportunities for enhancement across both traditional data science and emerging foundation model approaches. It requires strong collaboration with technical and business stakeholders, proactive decision-making, and continuous knowledge sharing to drive innovation, scalability, and business impact.
Essential functions
- Collaborate cross-functionally with engineering and business teams to ensure alignment, clarity of requirements, and effective delivery of solutions
- Drive MLOps excellence by proposing, designing, and optimizing system architecture, including refactoring Azure DevOps (ADO) and Azure Data Factory (ADF) pipelines for scalability and reliability
- Enhance SDLC practices by improving overall solution architecture, code quality, and maintainability across the development lifecycle
- Establish and promote best practices by defining and implementing effective ways of working within the project team
- Partner closely with the client's core team to ensure rapid identification and resolution of bugs, maintaining system stability and performance
Qualifications
- Azure Cloud expertise, including Azure DevOps, Azure Databricks, and Azure Data Factory
- Strong programming skills in Python and PySpark, with experience in multiprocessing and multithreading for scalable data processing
- Deep expertise in machine learning, spanning classical time-series models, gradient boosting/tree-based methods, deep learning, and emerging foundation models for time-series forecasting
- Demonstrated strengths in decision-making and ownership, with a proactive, results-oriented mindset
- Proven ability in knowledge sharing, collaboration, and initiative, contributing to both team growth and project success
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field
Would be a plus
- Experience with AWS cloud services, including designing and deploying scalable data and ML solutions
- Hands-on experience with Databricks Asset Bundles (DAB) for managing, packaging, and deploying Databricks projects across environments
We offer
- Opportunity to work on cutting-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, vision, dental, etc.
- Corporate social events
- Professional development opportunities
- Well-equipped office
- Please note that all onboarding must occur in person and you may be asked to travel to attend
