AI & Analytics for today’s business challenges.
MLOps Engineer
Location
New Jersey
Posted
69 days ago
Salary
0
Seniority
Senior
Job Description
MLOps Engineer
Tiger Analytics
• 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.
Job 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.
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