Job Title: Data Engineer – Machine Learning Productionalization

Job Description:

We are seeking a highly skilled and detail-oriented Data Engineer with a focus on Machine Learning (ML) Productionalization to join our dynamic team. The successful candidate will be an integral part of the data engineering team responsible for designing, implementing, and maintaining scalable data pipelines that efficiently process and provide access to large datasets. Furthermore, this role involves deploying and productionalizing machine learning models, ensuring they perform reliably and efficiently in a production environment.

Key Responsibilities:

- Collaborate with data scientists and ML engineers to convert machine learning models into production-grade services.
- Design, build and maintain robust data pipelines that support data transformation, workload management, error handling, logging, and monitoring.
- Ensure the architecture supports on-demand scaling and high availability.
- Develop APIs and services to enable real-time data consumption and model inference.
- Optimize data storage and retrieval processes for performance and cost-effectiveness.
- Implement best practices in continuous integration and continuous deployment (CI/CD) for machine learning solutions.
- Monitor ML models performance and implement updates and fixes as required.
- Work with cross-functional teams to understand data needs, gather requirements, and implement solutions that provide actionable insights.

Required Skills and Qualifications:

- Bachelor's or master’s degree in Computer Science, Engineering, or a related field.
- Proven experience in data engineering with a focus on machine learning model deployment and scaling.
- Strong programming skills in Python, and familiarity with frameworks like TensorFlow or PyTorch.
- Experience with cloud services (e.g., AWS, GCP, Azure) and their machine learning deployment tools.
- Understanding of containerization and orchestration technologies (e.g., Docker, Kubernetes).
- Familiarity with data pipeline and workflow management tools (e.g., Apache Airflow, Luigi).
- Proficiency in SQL, NoSQL databases, and distributed computing technologies (e.g., Hadoop, Spark).
- Ability to work in a fast-paced environment and manage multiple projects simultaneously.

We offer a competitive salary, comprehensive benefits package, and the opportunity to be part of a team that’s at the forefront of technological innovation in machine learning production. Join us and contribute to systems that shape the future of our data-driven initiatives. If you are passionate about data engineering and eager to tackle complex challenges in machine learning productionalization, we would like to meet you.

To apply, please submit your resume and a cover letter that highlights your experience with ML productionalization and your vision for contributing to our team’s mission.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.