Cégleírás / Organisation/Department
Would you continue your career in a growing international organization?
Join our partner, a Global media company as next employee as a Senior MLops engineer!
They transformed how advertisers manage creative deployment and media sourcing for campaigns while working with top brands, agencies, and media outlets. They connect creative flow across the advertising ecosystem with over 200,000 users and nearly four million assets.
Pozíció leírása / Job description
...- Design and architect the AI/ML models platform to support scalable, efficient, and high-performance machine learning workflows.
- Build and manage infrastructure that supports the deployment of machine learning models. This includes leveraging cloud services (AWS), CDK, and containerization tools like Docker.
- Architecting and developing MLOps systems with tools such as AWS Sagemaker, MLFlow, Stepfunctions, Lambdas.
- Lead the design and implementation of CI/CD pipelines to automate model deployment and rollback processes, ensuring that models can be delivered seamlessly to production aiming to reduce manual intervention and increasing system reliability.
- Ensure scalability and efficiency of the models to handle real-time predictions and batch processing.
- Set up monitoring and logging solutions for tracking the performance of models in production (DataDog, Cloudwatch).
- Define and promote best practices in MLOps.
Provide technical leadership and mentorship to MLOps engineers on technologies, and standard processes. - Partner with the global engineering team to drive cross-functional alignment and ensure seamless integration of AI ML models into wider data ecosystem.
- Work closely with Data Scientists, DevOps teams, and Product Managers to ensure that machine learning models are integrated into business workflows and deployed effectively.
- Stay up-to-date with the latest trends and technologies in MLOps and machine learning deployment and identify opportunities to incorporate new tools or practices to improve efficiency.
Elvárások / Requirements
- MS/BS in Computer Science or related background preferred;
- 5+ years of experience in MLOps or related roles, with at least 2+ years in a senior engineering capacity;
- Proven experience leading and mentoring teams, managing multiple stakeholders, and delivering projects on time;
- Proficiency in Python is essential;
- Experience with shell scripting, system diagnostic and automation tooling;
- Proficiency and professional experience of ML and computer vision;
- Have built and deployed ML, computer vision or GenAI solutions (PyTorch, TensorFlow);
- Experience working with databases to manage the flow of data through the machine learning lifecycle;
- Experience with cloud-native services for machine learning, such as AWS SageMaker, MLFlow, Stepfunctions, Lambdas is essential;
- Deep expertise in Docker for containerization of machine learning models and tools is essential;
- Experience delivering environment using infrastructure-as-code techniques (AWS CDK, CloudFormation);
- Experience setting up and managing continuous CI/CD pipelines for ML workflows using tools like Jenkins, GitLab;
- Experience in fast-paced, innovative, Agile SDLC;
Strong problem solving, organization and analytical skills; - Experience with Databricks is beneficial;
- Experience in building and managing training, evaluation and testing datasets in beneficial;
- Knowledge of security best practices in the context of machine learning.
Amit kínálunk / Offer
- Chance to join a growing organization
- Annual bonus, (equal to a 13th month’s payment)
- Cafeteria
- 2 days of home office every week
- Private health insurance
- Work in a truly international environment
Kapcsolattartó / Information
Ildikó Mező-Mészáros - ildiko.mezo-meszaros@randstad.hu
Tóth Boglárka - boglarka.eva.toth@randstad.hu
