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Research Software Engineer (Machine Learning)
Waters CorporationBrasov, ROÎn urmă cu peste 30 de zile
Descrierea postuluiParticipate in all team meetings and ceremonies in direct collaboration with other sites, provide input and feedback, take ownership on identified improvements Actively participate in learning and sharing activities either during informal or formal training and demos Demonstrate continuous technical improvement Master's in computer science, data science or related field and at least 2 years’ relevant work experience, or equivalent. Position level commensurate with experience. Experience in model development using Python for machine learning, statistical, and / or mechanistic models. Robust programming skills in Python (., numpy, pandas, scipy, scikit-learn). Comfortable with Git version control, as well as BASH or command prompt. Comfortable discovering and driving new capabilities, solutions, modeling techniques, and modeling best practices from papers, text books, and other technical documentation. Able to communicate results using meaningful metrics and visualizations to managers and stakeholders and receive feedback. You are fluent in English - speaking, reading, writing - Advanced Level Experience with one or more of : Predictive maintenance or other time series classification and prediction applicationsKnowledge bases and semantic reasoningProbabilistic programming and Bayesian inferenceBig data analytics and pipelines Proficiency with AWS Lambda, S3, EC2, Redshift, etc. Experience with containerizing models and deploying them to AWS. Knowledge of an object-oriented or functional programming language, such as Java, C#, Scala.
Responsibilities
Responsibilities :
- Experiment with various statistical and machine learning models, explore new data features, generate metrics, evaluate results.
- Maintain codebase : use Object-oriented Programming and / or Functional Programming best practices, write unit tests, etc.
- Work with subject matter experts (SMEs) to evaluate models, and present results to stakeholders, demonstrating the value of the ML techniques in a manner understandable to non-data scientists.
- Help with building out and maintaining the AWS data pipeline.
As a team member you will :
Qualifications
Required Qualifications :
Desired (considered a plus) Qualifications :
In return;
You will receive competitive compensation, great benefits and continuous professional development.
We're actively building diverse teams and welcome applications from everyone. But simply having a diverse workforce is not enough. We aim to build an inclusive environment, where everyone can contribute their best work and develop to their full potential. We celebrate our differences and recognise the importance of teams reflecting the communities they serve.
We can make reasonable adjustments to our interview process according to your needs.