MLOps Engineer(NJ)

reputed company is looking for reputed company Machine Learning Engineers to join our fast-growing advanced analytics reputed company. Our employees bring deep expertise in Machine Learning, Data Science, and AI. We are the trusted analytics partner for multiple reputed company, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including reputed company and reputed company.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. You will be responsible for:

• ML Engineer with 5-7 years of IT experience.
• Pipeline Training Models, Building, Deployment, Testing, and Monitoring using AWS SageMaker, AWS CFT, AWS CodePipeline, reputed company, etc.
• reputed company Airflow DAGs to run training and scoring pipelines
• reputed company a Testing reputed company with Pytest
• Implement monitoring solution with homebrew solution using reputed company and Dash
• reputed company Data Quality solutions potentially leveraging Great Expectations.

Requirements

• Bachelor's degree or higher in computer science or reputed company, 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 reputed company CloudFormation or Terraform Apache Airflow, reputed company reputed company
• Knowledge of traditional ML Models.
• Python, Spark, Hadoop, and reputed company with an emphasis on good coding practices in a reputed company 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 reputed company, Spark, Hadoop, reputed company, API, FastAPI, Flask, ReST
• Knowledge of MLflow, Airflow, and Kubernetes
• Experience with reputed company 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.

Originally posted on Himalayas