Jobs · empllo
Senior ML Engineer
Vantage Compute · Bucharest · Posted 10d ago
About the role
Build, train, and deploy ML models using AWS SageMaker and manage workloads on Amazon EMR.
📋 Description Build, train, deploy ML models with AWS SageMaker. Use Redshift and S3 for storage, processing, analysis. Use Spark and Airflow for data processing and pipelines. Manage ML workloads on Amazon EMR. Python data science stack: NumPy, Pandas, Scikit-learn. Collaborate with data engineers for production ML integration. 🎯 Requirements Bachelor's or Master's in CS, Stats, Math, or related field. Proven experience building and deploying production ML models. Extensive experience with AWS SageMaker, Redshift, S3, EMR. Strong Python data science skills: NumPy, Pandas, Scikit-learn. Expertise in Airflow and Spark. Strong communication and collaboration skills. 🎁 Benefits Premium medical package Lunch Tickets & Pluxee Card Bookster subscription Enterprise job security with startup mentality and multinational stability Flexible working program and openness to remote work Access to learning platforms and certifications (Pluralsight, Udemy, cloud providers)
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FAQ
Is the Senior ML Engineer role at Vantage Compute remote?+
This Senior ML Engineer position is listed as hybrid (Bucharest).
What is the salary for the Senior ML Engineer role at Vantage Compute?+
The listing states Estimated 140k-263k USD.
What seniority level is this Senior ML Engineer role?+
This is a senior level position.
How do I apply for the Senior ML Engineer role at Vantage Compute?+
Use the "Apply on empllo" button to open the original posting on empllo, where you can submit your application directly to Vantage Compute.