ML-Ops Engineer
Data
ML-Ops Engineer
Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote
Tech stack
AWS
CI/CD
Sagemaker
Python
Job description
Online interview
Altimetric is a business transformation accelerator. We partner with Fortune 500 companies to deliver fast, meaningful outcomes. Founded in 2012, we have 18+ offices across the globe and over 2,500 energized employees.
Currently, we are looking for a passionate MLOps engineer who will join a new, cross functional data science team working for a global pharmaceutic company.
You will
- Be part of the project that aims at developing forecasting solutions for pharma sales and finance domains
- Build and design the data streamlining process.
- Develop and deliver a CI/CD pipeline and Sagemaker pipeline for ML projects.
- Own the infrastructure and pipelines needed to bring the latest models and code into the Production.
- Manage your time effectively – you decide and execute
- Enjoy Work-life balance 😊
Who you are
- 3+ Years of experience in deploying Machine Learning solutions on AWS cloud, with a focus on Sagemaker
- Good command of following technologies: AWS- EC2, AWS Sagemaker, Kubernetes / Docker
- Experience with setting up and maintaining CI/CD as well as resource monitoring
- Working experience of building scalable infrastructures (load balancing, scaling etc.)
- Knowledge of Cloudwatch and cloud trail is a good plus
- Knowledge of data solutions like Airflow, Snowflake is a good plus
- At least a basic understanding of Machine Learning concepts
Why us ?
- Work on the most strategic, long term projects available in the market for biggest Bay Area, Sillicon Valley clients
- Taking an active part in building frontend pillar in Altimetrik Poland across the whole site
- Participate in Social Events, training, and work in an international environment
- Attractive Medical Package
- Access to Udemy
- Remote work and flexible working hours
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