1 день назад
MLOps & Data Engineer
108 496 - 149 183$
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
MLOps & Data Engineer (Python/AWS/ML infrastructure): Building and operating data pipelines, feature stores, model-serving infrastructure, and graph and relational data stores supporting AI and ML systems with an accent on data quality, security, and real-time and batch inference. Focus on designing reliable pipelines, integrating ML lifecycle tooling, deploying workloads with Kubernetes, and monitoring infrastructure health.
Location: Lone Tree, Colorado, United States; office or hybrid environment
Estimated starting salary: $108,496.89–$149,183.22 per year
Company
provides aerospace and national security technologies and solutions supporting critical security missions.
What you will do
- Design, develop, optimize, and operate data pipelines and transformations feeding AI and ML systems.
- Collaborate with AI/LLM Platform and engineering teams to translate data and model requirements into effective solutions.
- Build and operate feature stores and model-serving infrastructure for real-time and batch inference.
- Manage graph and relational data stores supporting knowledge graphs and entity resolution.
- Implement data integration, data management, data quality, experiment tracking, and model registry solutions.
- Monitor pipeline and model-serving health, perform testing and debugging, document processes, and participate in the on-call rotation.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related field, with 2+ years of relevant experience; advanced degrees or equivalent experience may substitute.
- Strong Python and SQL skills, relational database experience, and experience building data pipelines, architectures, and datasets.
- Experience with ETL or orchestration tools such as Airflow, dbt, Prefect, or Spark.
- Experience with AWS services including S3, Redshift, and Glue, or comparable cloud platforms.
- Ability to perform operational tasks including scheduling, monitoring, logging, alerting, error handling, and root cause analysis.
- Must be a U.S. citizen, lawful permanent resident, protected individual, or eligible to obtain the required U.S. government authorizations.
Nice to have
- Experience with MLflow, Weights & Biases, Kubeflow, feature stores, graph databases, vector databases, or RAG pipelines.
- Kubernetes experience deploying data or ML workloads.
- Familiarity with MDM, DevOps, CI/CD, data observability tools, Hadoop, or additional object-oriented languages such as Java.
- Data engineering certifications.
Culture & Benefits
- Medical, dental, and vision insurance.
- 401(k) with a 150% match up to 6%.
- Life insurance and three weeks of paid time off.
- Tuition reimbursement.
- Collaborative, mission-focused work supporting aerospace and national security applications.
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