ML Ops Engineer

Key Skills

Apache Hadoop, AWS, Bamboo, Continuous Integration & Continuous Delivery - CI/CD, Flume, Git, Machine learning techniques, MLOps tools, Python Programming, RESTful, SPARK Programming, SQL, TensorFlow

Job Description

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better.

We believe our people are the ones who truly empower imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

The successful ML Ops Engineer will work collaboratively with our clients and teams local and global teams to deploy our unique solutions to our clients.

In this position, you will:

• Play a vital role as the client and team lead with hands-on involvement in project management, business interpretation and application of solutions, client communication, insights/results delivery
• Execute unit tests using Junit (or other tool of choice)Build and
• Own & manage CI/CD deployments
• Generate/maintain release notes
• Assist “resiliency” process design

Required Qualifications:

• Extensive experience designing & building RESTful APIs/Microservices
• AWS platform experience with exposure to AWS Lambda, AWS API gateway and Google Apigee (OKAPI)
• Exposure to deploying apps in OKAPI
• Experience with CI/CD tool such as Bamboo

Other Qualifications of Interest:

• Work experience in AWS based ML OPS OR Devops OR Data Engineer with ML environments
• 5+ years of Data Engineering experience
• Proficiency in Python, SQL and at least one big data language (Spark,Hadoop,Flume), comfortable in cloud platforms (AWS), git and CICD concepts.
• Proficiency in AWS compatible ML Technologies – AWS - Sage maker, Tensorflow, Amazon ML Feature Store
• A results-oriented mind-set with strong analytical skills and problem-solving ability
• Strong interpersonal skills and ability to communicate clearly and effectively

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you are interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!