MLOps Engineer
Tiger Analytics
full-time
Posted on:
Location Type: Remote
Location: New Jersey • United States
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Tech Stack
About the role
- ML Engineer with 5-7 years of IT experience.
- Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, Lambda, etc.
- Develop Airflow DAGs to run training and scoring pipelines
- Develop a Testing framework with Pytest
- Implement monitoring solution with homebrew solution using Lambda and Dash
- Develop Data Quality solutions potentially leveraging Great Expectations.
Requirements
- Bachelor's degree or higher in computer science or related, with 5+ years of work experience
- Ability to collaborate with Data Engineers and Data Scientists to build data and model pipelines and help run machine learning tests and experiments
- Experience in AWS - SageMaker (ProcessingJobs, TrainingModels, EndPoints)
- Experience in Lambda CloudFormation or Terraform Apache Airflow, Astronomer Docker
- Knowledge of traditional ML Models.
- Python, Spark, Hadoop, and Docker with an emphasis on good coding practices in a continuous integration context, model evaluation, and experimental design
- Knowledge of ML frameworks like Scikitlearn, Tensorflow, and Keras.
- Experience in Pandas, sklearn, Numpy, Scipy
- **Additional Skills Required**
- Knowledge of Database/Data Engineering.
- Experience with Oracle, Spark, Hadoop, Athena, API, FastAPI, Flask, ReST
- Knowledge of MLflow, Airflow, and Kubernetes
- Experience with Cloud environments and knowledge of AWS Services, Service Catalog, SNS, SES
Benefits
- This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAWS SageMakerAWS CloudFormationAWS CodePipelineLambdaApache AirflowPythonDockerPandasScikit-learn
Soft Skills
collaborationcommunication