MLOps Engineer
8.0/10
Aston
Not specified
Remote
mid
about 1 month ago
May be outdated
aidevMLOpsPythonDockerKubernetesGCPAWSAzureSparkLangChainLlamaIndex
AI Summary
The vacancy is well-defined in tasks and tech stack but lacks clarity in compensation and company information.
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Description
Responsibilities
- •Create AI agents and platforms for them;
- •Build MLOps infrastructure;
- •Work with data for ML.
Conditions
- •Good salary: level discussed individually, additional payments for mentoring and professional activities.
- •Development: long-term projects from Russian clients, ability to change directions, transparent Performance Review system.
- •Comfort and freedom: relocation between offices, choice of work format (remote, office, hybrid), adaptation for new employees.
- •Training: access to corporate portal, meetups, conferences (both as a guest and as a speaker).
- •Social package: DMS with dentistry, partial compensation for sports, free English classes, paid vacation and sick leave.
- •Corporate life: team buildings, children's holidays, internal events.
Requirements
Requirements
- •Experience as MLOps Engineer/Data Engineer/Python ML for at least 3.5 years;
- •Production experience with MLOps frameworks: Kubeflow, MLflow, Airflow for orchestration, understanding their integration in CI/CD pipelines;
- •Experience with Docker and Kubernetes (in the context of deploying models as services);
- •Experience with one of the major cloud providers (preferably GCP or AWS/Azure with understanding of hybrid-cloud);
- •Ability to work with big data, experience with Greenplum or similar MPP systems (Teradata, Exasol);
- •Knowledge of distributed computing (Spark);
- •Experience with LangChain/LlamaIndex, FastAPI, knowledge of frameworks for working with LLM (Hugging Face, vLLM, etc.);
- •Excellent knowledge of Python, SQL at a very high level for working with data vault;
- •Knowledge of Git, GitLab CI/CD.
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