
ML Ops Engineer
- Łódź, łódzkie
- Stała
- Niepełny etat
- Combine the physical and digital, making technology a more dynamic force to solve challenges and serve humanity's needs
- Work at the convergence of cross channel UX, cloud, insightful data, IoT and mobility
- Empower companies to create new digital business models, enter new markets, and improve customer experiences
In conclusion, your responsibility will be designing, setting up and administering infrastructure for deploying, monitoring, and maintaining ML models.What You Will Do
- Degree in Computer Science or related fields.
- At least 2 years of proven industry experience in microservices.
- Experience with Infrastructure as Code (Terraform), cloud solutions and orchestration tools (AWS e.g. Sagemaker, Airflow MWAA, Step/Lambda, EC2, EMR).
- Familiarity with CI/CD (e.g.: Github Actions, ArgoCD), ETL, big data tools, mainstream ML frameworks (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux with shell, Docker, Kubernetes, TensorFlow, PyTorch, etc.) and communication protocols (gRPC, HTTP2.0).
- Experience working with real time monitoring/alerting components (e.g., Prometheus/ Grafana/ AWS Quicksight).
- Experience in Python and Go (preferable).
- Experience with distributed cache systems, e.g., Redis/Aerospike.
- Degree in Computer Science or related fields.
- At least 2 years of proven industry experience in microservices.
- Experience with Infrastructure as Code (Terraform), cloud solutions and orchestration tools (AWS e.g. Sagemaker, Airflow MWAA, Step/Lambda, EC2, EMR).
- Familiarity with CI/CD (e.g.: Github Actions, ArgoCD), ETL, big data tools, mainstream ML frameworks (e.g., MapReduce, Spark, Flink, Kafka, Unix/Linux with shell, Docker, Kubernetes, TensorFlow, PyTorch, etc.) and communication protocols (gRPC, HTTP2.0).
- Experience working with real time monitoring/alerting components (e.g., Prometheus/ Grafana/ AWS Quicksight).
- Experience in Python and Go (preferable).
- Experience with distributed cache systems, e.g., Redis/Aerospike.
- Python
- Golang
- REST
- AWS
- Spark
- Snowflake / Snowpark
- Github Actions
- ArgoCD
- Airflow
- Kubernetes
- Grafana / Prometheus
- Terraform
- TensorFlow
- PyTorch
- Hadoop
- Aerospike/Redis
- At least 3 years of industry experience in low latency, high throughput distributed microservices and integration e.g. WS/REST.
- Extensive experience with system architecture design for machine learning.
- Knowledge on testing frameworks for online A/B testing, canary, blue-green deployment.
- Knowledge about ML serving technologies, such as Seldon, Triton, ONNX, ONCL, TensorRT.
- Experience with the advertising industry, recommendation systems or real-time bidding (RTB) ecosystem.
- Knowledge of other OOP languages
- Knowledge of SQL scripting
- Knowledge of serialization protocols (Protobuf, FlatBuffers, Cap'n Proto)
- Flexible work environment, allowing for part-time remote work for positions that can be performed outside a HARMAN or customer location.
- Access to employee discounts on world-class Harman and Samsung products (JBL, HARMAN Kardon, AKG, etc.).
- Extensive training opportunities through our own HARMAN University.
- Competitive wellness benefits.
- Tuition reimbursement.
- “Be Brilliant” employee recognition and rewards program.
- An inclusive and diverse work environment that fosters and encourages professional and personal development.