Join our team and become part of a company that thrives on innovation and continuous learning in the cloud and web development realms.
Responsibilities:
- Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with classic algorithms and machine learning models.
- Alongside our Data Scientists, support machine learning-based solutions to our AI
products from research to production.
- Lead complex projects from scratch while communicating with different stakeholders.
- Build data monitoring tools for feature exploration and production model verification.
- Adapt standard machine learning methods to exploit modern environments best.
- Work closely with data scientists and domain experts on time series datasets.
Requirements:
Requirements:
- BA in Computer Science or a similar degree, MSC advantage
- Experience with developing and maintaining production machine learning pipelines
- 4+ years of hands-on experience in coding using Python
- 2+ years of experience as a Machine Learning Engineer
- Independent, self-motivated, and auto-didactic with creative and critical thinking
capabilities
- Experience in building machine learning models deployed to production environments
- Familiarity with MLOPS tools like MLFlow, ArgoCD, SageMaker, and others - Advantage
- Familiarity with monitoring tools - Advantage
- Excellent problem-solving and critical thinking skills
- Knowledge of software engineering best practices, version control, deployment
- pipelines, testing, and object-oriented design (OOD).
- Knowledge of Machine Learning tools and frameworks: sklearn, Numpy, Pandas, PyTorch, TensorFlow, Keras.
- Familiarity with data tools such as DynamoDB, AWS-Athena, AWS-Glue, influxDB, etc
- Experience with AWS – Advantage
- Experience with CI/CD and agile methodologies
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