Machine Learning Engineer II
Machine Learning Engineer II
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1 Vacancy
Job Description
Our Opportunity:
We are seeking a talented and passionate Machine Learning Engineer II to join our growing team. In this role you will play a crucial part in building and deploying machine learning solutions that empower our Chewy Customer Care teams. As a Machine Learning Engineer II you will be a key contributor throughout the machine learning lifecycle from data preparation and model development to deployment and monitoring. You will have the opportunity to work on diverse projects and contribute directly to the success of the company.
What Youll Do:
- Design and implement robust data pipelines for efficient data ingestion processing and feature engineering.
- Ensure data quality and consistency for model training and inference.
- Work with large datasets and apply data scaling techniques.
- Select and build appropriate machine learning models based on business requirements and data characteristics.
- Train and evaluate models using various techniques and metrics.
- Finetune models to achieve optimal performance and efficiency.
- Deploy machine learning models to production environments ensuring scalability reliability and maintainability.
- Implement monitoring and alerting systems to track model performance and identify potential issues.
- Optimize models for inference speed and resource utilization.
- Work closely with data scientists software engineers and business stakeholders to understand requirements and deliver solutions.
- Effectively communicate technical concepts and findings to both technical and nontechnical audiences.
What Youll Need:
- Bachelors degree in Computer Science Machine Learning or a related field.
- 3 years of experience as a Machine Learning Engineer or in a similar role.
- Strong programming skills in Python or another relevant language.
- Experience with machine learning frameworks and libraries (e.g. TensorFlow PyTorch scikitlearn).
- Experience with SQL and relational databases.
Nice to Have:
- Familiarity with big data technologies (e.g. Spark Iceberg dbt).
- Familiarity with AWS cloud technologies (e.g. Glue Sagemaker Athena Redshift).
- Experience with data visualization tools (e.g. Tableau Streamlit Plotly).
- Knowledge of retail and ecommerce.
- Solid understanding of machine learning algorithms and best practices.
- Experience with cloud computing platforms (e.g. AWS Azure GCP).
- Excellent communication and presentation skills.
Employment Type
Full Time
