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 fieldProven experience in Python development with AI / ML and cloud-based implementationsSpecialized Knowledge, Skills, and Abilities :
Advanced Python and OOP conceptsAI / ML algorithms and workflowsAzure, Databricks, MLflow, AirflowMLOps, DockerGit and collaborative developmentStrong analytical and communication skillsAbility to engage with both technical and non-technical stakeholdersSkills Required
Python, Machine Learning, Forecasting, Clustering