Job Description:
- Leadership: Develop and Lead a team of Client Engineers, DevOps Engineers, and Platform administrators in collaboration with Data Scientists to test and scale algorithms and industrialize the solutions at scale.
- Ensure the team delivers on time by defining clear architectural strategies and principles, maintaining a roadmap for execution, and actively securing its implementation through the scrum process.
- rchitecture: Influence, develop, and sustain large-scale analytics architecture required for Client projects.
- Establish software architecture and software design patterns to write scalable, maintainable, well-designed code.
- Research and evaluate tools in Parallel computing, Edge AI, Data Science Model Training, and Service Oriented Model Inference aligning with Enterprise solution and security strategies, including recommending and testing annual upgrade paths for existing frameworks.
- gile Project Work: Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, DevOps engineers, designers, product managers, technical delivery teams, and others to continuously innovate AI and MLOps solutions.
- Team Development/Coaching: Act as a positive coach/mentor for the broader organizations to develop a stronger understanding of software architecture and software design patterns that create scalable, maintainable, well-designed analytics solutions. Acts as a facilitator of complex technical topics that require cross-functional consultation.
- Perform other duties as requested.
Qualifications: Minimum Requirements:
- Bachelors degree in a technical engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and seven (7) years of relevant work experience.
- Masters degree in a technical engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and five (5) years of relevant work experience.
- Ph.D. in engineering, computer science, analytical field (Statistics, Mathematics, etc.) or related discipline and two (2) years of relevant work experience AND
- Strong experience in at least two areas:
- Expert practitioner of Python development with experience designing high-quality, production Python codebases.
- Expert in software and Client systems architecture.
- Experience applying software development best practices to machine learning projects, including DevOps CI/CD, Release Management, and Test Driven Development using Python and SQL.
- Data science experience wrangling data, model selection, model training, modeling validation, e.g., Operational Readiness Evaluator and Model Development and Assessment Framework, and deployment at scale.
- Experience with Agile and DevOps software development principles/methodologies, keeping the team focused on delivering business value.
Preferred Qualifications:
- Experience with Edge Analytics, embedded systems, or computer vision.
- Experience with Databricks and Azure cloud suite with emphasis on Client tools.
- Experience working in Data Architecture, engineering, and ETL teams, managing the Design, Implementation of projects that utilize big data, advanced analytics, and machine learning technologies.
- Experience influencing and building mindshare convincingly with any audience.
- Confident and experienced in public speaking to large audiences.