Lead Software Engineer (MLOps)

Andersen

23000 - 24700 PLN

Poziom
Regular
Umowa
Umowa o pracę
Wielkość firmy
2500 - 4999
Pozostało
Zakończono
Stack technologiczny
Kubernetes/OpenShift:
Senior
python:
Regular
Docker:
Regular
Miasta
Warszawa
Opis

You can use mail for your CV my.cv@andersenlab.com

Tech stack on the project: Python, ML APIs, Docker, Kubernetes/OpenShift, Azure/AWS/Google Cloud, MLflow, Kubeflow, Kafka, Elasticsearch, Kibana, Grafana, Prometheus, Splunk.


Tasks:

- Hiring and leading the Data Engineering and MLOps team;

- Developing scalable and reliable ML infrastructure components to facilitate the deployment of ML models;

- Closely cooperating with the ML team, core platform developers, and architects for the maximum impact across the organization;

- Being a critical resource to implement the research team's ideas and bring them to market.


Must-haves:

- Experience in building scalable and reliable ML infrastructure components and data ingestion and processing pipelines for 4+ years;

- Experience in deploying ML APIs/containers – such as Docker, Kubernetes, or OpenShift – to the public cloud (Azure, AWS, or Google Cloud);

- Experience with ML lifecycle platforms (MLflow, Kubeflow);

- Experience in designing data processing pipelines using Kafka, Elasticsearch, and Kibana;

- Knowledge of any tool for logging and monitoring, such as Grafana, Prometheus, Splunk, etc.;

- Experience with Python;

- Level of English – Intermediate.


Nice-to-naves:

- Experience with serverless platforms, such as AWS Lambda, Google Cloud Functions, Nuclio, Knative, etc.;

- Knowledge of deployment management tools, such as Terraform or Helm;

- Experience with Data Science tools in an AWS environment;

- Experience in progressive delivery, such as A/B testing, Canary deployment, and multi-armed bandit;

- Experience in managing Linux systems – the customer uses Ubuntu/Debian for bare metal servers and Amazon Linux in EKS and EC2 instances;

- Experience with a bare-metal Kubernetes cluster.


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