Sales Consulting
Sales Consulting is a Human Resources consulting firm established in 1998. Specializing in recruitment and selection, personnel leasing, assessment centers, and consultancy, Sales Consulting provides comprehensive HR solutions across several industries including IT&C, automotive, outsourcing, pharma, banking, and FMCG. With a team of 130 coworkers, Sales Consulting handles around 150 recruitment processes monthly, showcasing its operational excellence and industry-specific knowledge. The company is a market leader in Transylvania and continues to expand its reach in Romania and the surrounding region. Sales Consulting is committed to client orientation, teamwork, flexibility, excellence, and responsibility to ensure long-term partnerships and professional growth opportunities for both clients and candidates.
Recruitment&Selection • Assessment Center • HR Consultancy • HR Market Mapping
Machine Learning Ops Engineer
October 17, 2024
Airflow
Apache
Bash
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Java
Kafka
Kubernetes
OpenShift
Python
Scala
Scikit-Learn
Spark
SQL
Tensorflow
Sales Consulting
Sales Consulting is a Human Resources consulting firm established in 1998. Specializing in recruitment and selection, personnel leasing, assessment centers, and consultancy, Sales Consulting provides comprehensive HR solutions across several industries including IT&C, automotive, outsourcing, pharma, banking, and FMCG. With a team of 130 coworkers, Sales Consulting handles around 150 recruitment processes monthly, showcasing its operational excellence and industry-specific knowledge. The company is a market leader in Transylvania and continues to expand its reach in Romania and the surrounding region. Sales Consulting is committed to client orientation, teamwork, flexibility, excellence, and responsibility to ensure long-term partnerships and professional growth opportunities for both clients and candidates.
Recruitment&Selection • Assessment Center • HR Consultancy • HR Market Mapping
📋 Description
• An MLOps Engineer is responsible for managing the lifecycle of machine learning models, ensuring they are deployed, monitored, and maintained effectively. • The MLOps Engineer supports the development, training, and deployment of machine learning models, and key skills involve CI/CD Pipelines, Model Deployment, Monitoring and Maintenance, Automation and Performance Optimization.
🎯 Requirements
• Must Have: • Relevant work experience in ML projects • Relevant work experience in technologies and frameworks used in ML, examples are: Apache Airflow, sklearn, MLFlow, TensorFlow • Knowledge of MLOps architecture and practices • Knowledge of data manipulation and transformation, e.g. SQL • Experience working in cloud environment (e.g. GCP) • Programming in Python • Experience with monitoring and observability (ELK stack) • Familiar with software engineering practices like versioning, testing, documentation, code review • Deployment and provisioning automation tools e.g. Docker, Kubernetes, Openshift, CI/CD • Nice to Have: • Experience with distributed systems and clusters for both batch as well as streaming data (S3/Spark/Kafka/Flink) • Affinity with Advanced Analytics, Data Science, NLP • Hands-on experience building complex data pipelines e.g. ETL • System design and architecture • Bash scripting and Linux systems administration • Programming in a statically typed language, e.g. Scala, Java • Experience with building distributed, large scale and secure applications • Experience with working in an agile/scrum way • Being a committer to Open-Source projects is a strong plus
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