Key skills
AirflowApacheAWSAzureCloudDockerGoogle Cloud PlatformJenkinsLinuxNumpyPandasPythonScikit-LearnSparkSQLMachine LearningMLscikit-learnNumPyMLOpsXGBoostMLflowSnowflakeApache SparkGCPGoogle CloudPerformance OptimizationCI/CD
About this role
Role Overview
- Assist in designing and implementing ML pipelines and services in cloud and on-premise environments.
- Collaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.
- Support model deployment, monitoring, and performance optimization.
- Apply MLOps practices such as CI/CD, model versioning, and retraining workflows.
- Work with Snowflake and AWS services to support ML model deployment.
- Contribute to the development and maintenance of on-premise ML workflows.
- Ensure adherence to data privacy, security, and compliance standards.
- Participate in code reviews and knowledge sharing within the team.
Requirements
- Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
- 2–4 years of experience in machine learning engineering or related roles.
- Proficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).
- Familiarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.
- Basic experience with Jenkins and containerization tools such as Docker.
- Strong SQL skills, including an understanding of query optimization techniques.
- Exposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.
- Strong analytical and problem-solving abilities.
- Experience with Apache Spark and Snowpark for scalable data processing is a plus.
- Exposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP) is a plus.
Tech Stack
- Airflow
- Apache
- AWS
- Azure
- Cloud
- Docker
- Google Cloud Platform
- Jenkins
- Linux
- Numpy
- Pandas
- Python
- Scikit-Learn
- Spark
- SQL
Benefits
- Compelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.
- Hybrid flexible work model.
- Outstanding career development opportunities.
- We’ll support your professional development education.
- Competitive vacation package with the option to purchase 5 extra days off per year.
- Employee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.
- Corporate wellness programs to support our employees’ physical and mental health.