Seeking a Principal Machine Learning Engineer: Rhino are you there
At WE ARE META we focus on finding the perfect match between our Rhinos and our clients.
Why join us
- Expand your network: As a consultant at We Are META youll have access to a network of national and international partners across diverse sectors of the tech industry.
- Enjoy our perks: When you join the crash youll have an array of benefits to help you achieve the best work-life balance.
- Get your perfect match: Our recruiters do their best to get the best position for you whether in terms of working policy (remote hybrid on-site) or the companys culture.
- Personalized support: With our career coach we assure that all your needs are being met and youre being provided everything you need to excel in your professional life because the well-being of our Rhinos is our number one priority.
Perks of becoming a Rhino:
- Youll get a welcome kit
- Opportunities for career progression
- Live on the edge with our health insurance
- Coverflex meal card
- Other protocols and special discounts
For this position the perfect Rhino should have the following skills:
- At least 8 years of professionalexperience in Machine Learning Data Engineering or MLOps roles
- Proven track record of building deploying and maintaining machine learning systems in production environments
- Proficient in PyTorch TensorFlow and Scikit-learn
- Hands-on experience with MLflow Amazon SageMaker and Azure ML for model training experiment tracking and deployment
- Skilled in building CI/CD pipelines for ML workflows using GitHub Actions Azure DevOps and Terraform
- Experience in designing and managing ML pipelines using Apache Airflow Azure Data Factory or equivalent orchestration tools
- Strong experience with Azure (primary) and AWS (secondary) cloud platforms
- Proficient in Docker and Kubernetes specifically with Azure Kubernetes Service (AKS)
- Fluency in English (B2)
- Availability for remote work in Portugal
If youre ready to join the crash and become a Rhino apply to:
Required Experience:
Staff IC