Senior ML Engineer

📋 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)