Investigo have been exclusively retained by one of our key consulting partners to assist in the development of a greenfield project, building out the MLOps function of a world leading Life Sciences organisation. We are currently hiring for multiple contract MLOps / DataOps Engineer and Developers to assist in this programme.
The roles are fully remote and will offer a 12 month initial contract, aiming to start in mid to late Jan, although with various staggered start dates through Jan, Feb and March, pending availability of suitable consultants.
Key Responsibilities
- Provide best practices, guidances, and support to data science team
- Data versioning
- Model tracking
- Experiment tracking
- Code bundling for ease-of-deployment
- Covert developed data/ML pipelines into scalable pipelines based on the infrastructure available
- E.g. Convert Python based data science code into PySpark/SQL for scalable pushdown execution
- Develop continuous monitoring & training pipelines allowing model training in PROD by collaborating with data science team
- Determine model performance monitoring metrics
- Determine retraining trigger mechanism
- Design champion/challenger model and A/B Testing
- Develop CI/CD orchestration for the data science training pipeline
- Mange the production deployments
Skillset:
Strong understanding of data science development lifecycle (CRISP)
Strong hands-on skills in software engineering (e.g., Python)
Strong hands-on skills in containerization (e.g. AWS EKS, Kubernetes)
Strong hands-on skills for data pipeline orchestration (e.g. Airflow)
Deep understanding of MLOps principles and tech stack (e.g. MLFlow)
Hands-on skills in CI/CD (e.g. Jenkins, Artifact Factory, Spinnaker, Grafana)
Previous experience with AWS Sagemaker - Preferred
Please apply with an up to date version of your CV if this is of interest. This is a truly exciting, long term programme paying great rates outside of IR35.
