ML-Ops Engineer

Job Category: Engineering
Job Experience: 5+ years
Job Type: Full Time
Job Location: Work From Anywhere
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Growexx is looking for smart and passionate ML-Ops Engineer, who will play a critical role in designing, implementing, and maintaining the infrastructure and tools necessary for efficient machine learning (ML) operations.

Key Responsibilities:

  • Design and implement cloud solutions, build ML-Ops on AWS cloud. 
  • Review cloud-based ML frameworks & models, run the code refactoring & optimization for scale, containerization, deployment, versioning, model monitoring and resource management. 
  • Data science models testing, validation and tests automation in cloud  
  • ML workflow load testing for real-case requests and responses and set up a scalable solution for an ML workflow.  
  • Build continuous development and deployment pipelines orchestration. 
  • Set up a model & data quality monitoring and send alerts to stakeholders when model performances are drifted.  
  • Touch code at every level – from the UI, backend microservices, database, big data processing, operations, to CD/CI automation. 
  • Collaborate closely with data science teams to define requirements, discuss solutions, and develop high quality deliverables for our customers.  
  • Take ownership for the quality of the code. 

Key Skills:

  • Hands-on expertise with AWS Cloud Platform. 
  • In-depth knowledge of AWS services, including but not limited to EC2, S3, RDS, Lambda, IAM, VPC, and CloudWatch. 
  • Experience in creating effective CI/CD pipelines. 
  • Familiarity with containerization and orchestration tools, such as Docker and Kubernetes. 
  • Proficient in scripting and programming languages such as Python, Bash, or PowerShell. 
  • Experience with version control systems (e.g., Git). 
  • Excellent troubleshooting skills. 
  • Familiarity with managing ML Ops platforms. 
  • Understanding of machine learning concepts and practices, including model retraining, deployment, and monitoring. 

Education and Experience:

  • Bachelor’s or Master’s degree in computer science, Data Science, Engineering, or a related field. 
  • 5+ years of proven experience in creating CI/CD pipelines and working with AWS Cloud. 
  • Understanding of machine learning concepts and ML-Ops.  

Analytical and Personal skills:

  • Must have good logical reasoning and analytical skills 
  • Good Communication skills in English – both written and verbal 
  • Demonstrate Ownership and Accountability of their work 
  • Attention to details 

Work with the problem solver engineers team

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