[Future opening] Senior ML Engineer

June 26

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GetInData | Part of Xebia

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Experts dedicated to becoming the leaders in providing Big Data, Cloud, Analytics, ML/AI/BI services.

Big data • Hadoop • NoSQL • Spark • Kafka

51 - 200

Description

• Collaborating with Platform Engineers to set the infrastructure required to run MLOps processes efficiently • Implementing ML workflows / automating CI/CD pipelines • Automating model deployment and implementing model monitoring • Collaborating with Platform Engineers to implement backup and disaster recovery processes for ML workflows, especially models and experiments • Collaborating with stakeholders to understand the key challenges and inefficiencies of Machine Learning project lifecycles within the company • Keeping abreast of the latest trends and advancements in data engineering and machine learning

Requirements

• Proficiency in Python, as well as experience with scripting languages like Bash or PowerShell • Knowledge of at least one orchestration and scheduling tool, for example, Airflow, Prefect, Dagster, etc • Understanding of ML algorithms and distributed training, e.g., Spark / PyTorch / TensorFlow / Dask / Ray • General knowledge about cloud computing • Familiarity with services related to machine learning (e.g., AWS SageMaker / Azure ML / GCP Vertex AI) • Experience in frameworks such as Databricks or Apache Beam • Familiarity with tools like MLflow, W&B, and Neptune AI from the operations perspective • Experience with containerization technologies like Docker and basic knowledge of container orchestration platforms like Kubernetes • Understanding of continuous integration and continuous deployment (CI/CD) practices, as well as experience with related tools like GitHub Actions or GitLab CI

Benefits

• 100% remote work • Flexible working hours • Opportunity to learn and develop with the best Big Data experts • International projects • Possibility of conducting workshops and training • Certifications • Co-financing sport card • Co-financing health care • All equipment needed for work