Python Development:
- Leverage strong expertise in Python to develop robust, scalable solutions, utilizing advanced Object-Oriented Programming (OOP) principles.
AI/ML Implementation:
- Apply hands-on experience in machine learning concepts such as forecasting, clustering, regression, classification, and optimization using Python.
Cloud & Data Engineering Tools:
- Work with cloud-based tools and services including Azure, Databricks, MLflow, and orchestrate workflows using Airflow or similar tools.
MLOps & Automation:
- Implement MLOps best practices, including model deployment, monitoring, and lifecycle management. Utilize containerization tools like Docker for scalable deployments.
Version Control & Collaboration:
- Use Git for version control, supporting efficient collaboration and code management in team environments.
Problem-Solving & Communication:
- Demonstrate consistent problem-solving intent and initiative, with the ability to analyze complex technical challenges and deliver effective solutions.
Stakeholder Interaction:
- Communicate and present technical concepts clearly at various levels within the organization, both in verbal and written form.
Education and Work Experience:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field
- Proven experience in Python development with AI/ML and cloud-based implementations
Specialized Knowledge, Skills, and Abilities:
- Advanced Python and OOP concepts
- AI/ML algorithms and workflows
- Azure, Databricks, MLflow, Airflow
- MLOps, Docker
- Git and collaborative development
- Strong analytical and communication skills
- Ability to engage with both technical and non-technical stakeholders
