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ML-Ops Engineer
Data

ML-Ops Engineer

Wrocław
Type of work
Undetermined
Experience
Senior
Employment Type
B2B
Operating mode
Remote

Tech stack

    AWS

    advanced

    CI/CD

    advanced

    Sagemaker

    advanced

    Python

    advanced

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