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, you’ll 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 you’ll 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 company’s culture.
- Personalized support: With our career coach, we assure that all your needs are being met and you’re 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:
- You’ll 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 professional experience 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 you're ready to join the crash and become a Rhino, apply to: <endereço ocultado>
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