Analytics/ML Engineer

This is a remote position.

Our client, a leading global IT service provider,is recruiting for a Analytics/ML Engineer to join their business in Poland. 

Summary

• Deep understanding of the full lifecycle of an ML solution (incl. related ML tooling/infrastructure)
  

• Solid understanding of advanced analytics, machine learning and deep learning workflows, and industry experience with relevant frameworks (e.g., Pandas, PyTorch)
  

• Strong experience in Python programming. Further programming languages are a plus (eg R, JavaScript)
  

• 5+ years Hands-on experience with cloud technologies and providers (preferably AWS)
  

• Experience in software engineering and cloud DevOps
  

Responsibilities:

• Ease the adoption of a federated computing software (e.g. NVFLARE, DataShield)
  

• Create quick starts / data scientists oriented how-to guides explaining step-by-step e.g. how to convert from centralized to federated code
  

• Contribute to the development and testing of a secure and privacy-preserving federated computing platform and participate in technical design and implementation of the user workflows in a federated setting (incl. at network level)
  

• Assist in developing and applying of federated analysis scripts / notebooks for RWD/clinical analysis e.g. descriptive cohort statistics, time series analysis
  

• Facilitates the testing and validation of models to determine viability for federated deployment
  

• Actively collaborate with PDD/PHC/RWD data scientists to design and assist in the creation of a statistical analysis plan according to a scientific protocol in a federated setting
  

• Stay up to date with the latest advances in federated computing (FA/FL)
  

• Communicate results and findings to the team and stakeholders in a clear and concise manner
  

• Contribute to methodological research in FA/FL to unlock novel analytical/ML approaches (e.g. privacy-preserving functions) in collaboration with data scientists and researchers
  

• Review code developed by others and provide feedback to ensure best practices (e.g. disclosure, style guidelines, checking code in, accuracy, testability and efficiency)
  

• Contribute to existing documentation or educational content and adapt content based on platform updates and user feedback
  

Requirements:

• Passionate about the intersections of healthcare and analytics/AI and software engineering an data engineering 
  

• Sound knowledge and experience in data science workflows and expertise on multi-modal datasets (among RWD, clinical, imaging, biomarker, omics)
  

• Experience with ML model deployment and lifecycle management and in particular with building, testing, measuring, and deploying machine learning models in production
  

• Practical understanding of different anonymization and privacy-preserving techniques (nice-to-have)
  

• Familiarity with machine learning concepts and toolkits such as: cross validation, experiment tracking, statistical tests; scikit learn, xgboost, etc.
  

• Sound technical and computing scripting / programming skills: Python, R, Pandas, Numpy, PyTorch ML, TensorFlow ML, Matplotlib, Jupyter, Git, Bash/Linux basics
  

• Good knowledge of software development best practices including testing, continuous integration, and DevOps tools
  

• Beneficial technical skills: NVIDIA FLARE, Apheresis, DataSHIELD, AWS administration, Docker, Kubernetes, Cubeflow, MONAI
  

If you know of anyone within your network who may also be interested in this position,would you please forward this ‘Email & Role’ to them.

Please note:

1. That we do all we can to respond to all applications but if we have not contacted you within 2 days following your application - its likely we have not shortlisted your CV for the position.
   

2. Manning Global cannot consider your application for this role if you are working for the customer we are recruiting for
   

3. If you are working for the client we are representing, but have confirmation you are leaving a permanent or contract position, please discuss this with us, so we can discuss representation with you.
   

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