MLOps Engineer

Do you have a strong passion for empirical search? Do you enjoy interpreting trends and patterns?  You would like to grow in a collaborative environment within the exciting and thriving field of AI? 

Join   Elixirr Digital , as a MLOps Engineer   and help us translate any business question into just the right analysis to find the best approach and get a valuable answer. 

As an MLOps Engineer, your primary responsibilities will include designing and implementing the infrastructure to support the deployment and monitoring of machine learning models in production.

Discover the opportunity to join our Data & Analytics  department and work closely with a group of like-minded individuals with cutting-edge technologies!

What you will be doing as a MLOps Engineer at Elixirr Digital ? 

• Collaborate with research scientists to understand their needs and implement solutions
• Maintain and optimize existing ML models and pipelines for continuous improvement and scalability
• Ensure data quality throughout all stages of data acquisition and processing.
• Develop and optimize tools and workflows for monitoring, analyzing, and reporting model performance and data accuracy for seamless collaboration between teams in the ML lifecycle
• Implement process automation and tools for scalable AI infrastructure including streamlined data preprocessing, model training, deployment, monitoring, logging and retraining
• Conduct regular reviews and improvements of MLOps pipelines for optimization and best practices

We build with: 

Competencies and skillset we expect you to have to successfully perform your job:   

• Proficiency in Python and core ML libraries (Keras, TensorFlow, Pytorch etc.)
• Demonstrable skills in forecasting data preparation and pipeline implementation
• Technical fluency in data science lifecycle methodologies
• Experience working with Microsoft Azure or AWS cloud platform 
• General knowledge  of CI/CD pipelines, cross account configurations, and security best practices   
• General knowledge of API development best practices, methods, API authentication and authorization          
• Experience with model deployment is a bonus: containers, microservices, and serverless functions
• Strong validation, unit test, and debugging skills
• Knowledge of relational databases and SQL
• Proficient understanding of code versioning tools (Git)

We could be a perfect fit if you are: 

Benefits we offer:

Intrigued? Apply now!