Solutions: Design and implement scalable and efficient solutions on AWS, ensuring robust performance and security.
Data-Driven Decision Making: Support data-driven decision making by using Prefect for workflow orchestration and SQL, Snowflake for data warehousing.
Model Development: Develop and deploy machine learning models using Python and relevant libraries/frameworks.
Integration: Integrate machine learning solutions with existing data pipelines and DevOps practices.
Production Management: Manage production-level code and ensure the reliability of machine learning models in a live environment.
Containerization: Utilize Docker and Kubernetes for containerization and orchestration of applications.
Collaboration: Collaborate with cross-functional teams to capture requirements, design solutions, and ensure successful project delivery.
Support and Troubleshooting: Provide production support, troubleshoot issues, and implement fixes to ensure the smooth operation of software applications.
Code Reviews and Best Practices: Participate in code reviews, contribute to standard methodologies, and continuously improve the development process.
Industry Trends: Stay updated with the latest industry trends and technologies to ensure our solutions remain at the forefront of innovation.
Who You Are:
Passion for Data Science: You have a passion for data science and application development, thriving on innovation through the art of coding and storytelling.
Team Player: You are an excellent team player who collaborates effectively with both technical colleagues and business partners.
Hands-on Experience: You have hands-on experience with data science and machine learning techniques.
Production Management: You have experience managing production-level code and deploying applications using Docker, Kubernetes, and Prefect/Airflow.
Data Engineering and DevOps: You have good knowledge of data engineering and DevOps practices.
Version Control: Experience with Git for version control and collaborative development.
Proficient in SQL: Proficiency in SQL for data querying and manipulation.
Strong Communication Skills: You possess strong communication skills and are adept at working collaboratively with team members and stakeholders.
Problem-Solving Abilities: Exceptional problem-solving abilities and can thrive in a fast-paced environment.
AWS and Cloud Architecture: In-depth knowledge of AWS services and cloud architecture.
Workflow Orchestration: Proficient in using Prefect for workflow orchestration.
Data Warehousing: Experience with Snowflake for data warehousing.
Software Design Principles: Strong foundation in software design principles, algorithms, and data structures.
Minimum Qualifications:
Experience: 5+ years of Data Science with proficiency in Python and experience with machine learning frameworks and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
Technical Experience: 2+ years of experience in Technical Python, AWS, and data analysis tools such as SQL and Pandas.