MLOps Engineer

🕒 March 31

🏖️ New Jersey – Remote

🏖️ New Jersey – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Tiger Analytics

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2011

🤖 Artificial Intelligence

🤝 B2B

Artificial Intelligence • B2B • Consulting

Tiger Analytics is a leading AI and analytics consulting firm that specializes in leveraging data science and machine learning to provide strategic business insights across various industries. They offer services in data strategy, AI engineering, and business intelligence to enable data-driven decision-making and digital transformation for their clients. Tiger Analytics collaborates with top technology partners like Microsoft, Google Cloud, and AWS to deliver cutting-edge solutions. They serve a diverse range of sectors including consumer packaged goods, healthcare, and finance, helping businesses operationalize insights and differentiate with AI and machine learning technologies.

📋 Description

• 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.