MLOps Engineer

1 miesiąc temu


Warszawa, mazowieckie, Polska Team Up Pełny etat

The project you will be joining is centered around creating an advanced advertising ecosystem, integrating hundreds of millions of smart devices across TV, mobile, and desktop. This initiative aims to connect brands with TV audiences by building a sophisticated advertising platform using machine learning algorithms to enhance targeting, personalization, and optimization.


Responsibilities:

Design and develop scalable machine learning infrastructure to support high throughput and low latency

Serve ML models to downstream applications, ensuring they are accessible, scalable, and secure

Manage model versions, ensuring the correct version is served and implementing rollback mechanisms if issues arise

Implement monitoring tools to track performance, health, and usage of the platform, addressing issues like concept drift, data drift, and model degradation

Develop, test, deploy, and maintain data and model training pipelines for ML products.

Integrate the serving infrastructure with other systems, ensuring seamless communication and coordination

Optimize the ML serving system, improving efficiency, reliability, and speed, and automating tasks while maintaining high quality standards

Research and experiment with the latest ML serving technologies, creating quick prototypes and proof-of-concepts

Streamline model deployment and enhance the online A/B testing framework

Collaborate with ML engineers to deploy and serve production-grade ML models at scale.

Technical leadership opportunities based on skills and experience.


Requirements:

Tech stack: Python, REST, AWS, Spark, Snowflake, Snowpark, Github Actions, Airflow, Kubernetes, Grafana, Terraform, TensorFlow, PyTorch

Must have:

Degree in Computer Science or related fields.

Minimum 6 years of industry experience

Experience with Infrastructure as Code (Terraform), cloud solutions, and orchestration tools (e.g., AWS, Sagemaker, Airflow)

Familiarity with CI/CD, ETL, big data tools, and mainstream ML libraries (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux, Docker, Kubernetes, TensorFlow, PyTorch)

Experience with real-time monitoring/alerting components (e.g., Prometheus/Grafana)

Proficiency in Python, Go, or other OOP languages

Experience with distributed cache systems (e.g., Redis/Aerospike)


Offer:

Friendly atmosphere focused on teamwork

Comprehensive training and support in developing algorithmic skills

Opportunity to work on multiple projects with the latest technologies

Monthly integration budget

Opportunities to attend local and international conferences

Flexible working hours

Private medical care (including family members)

Multisport card

Life insurance

Lunch card

Various discounts (products, theaters, restaurants)

Opportunity to test new products

Hybrid work model: 3 days from the office per week (Warsaw)

Attractive relocation package




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