Machine Learning Engineer

🚀 Join Our Team as a Machine Learning Engineer! 🚀

Are you a highly motivated Machine Learning Engineer with a passion for designing and implementing scalable ML pipelines and infrastructure? We are looking for someone like you to join our dynamic team and contribute to building robust data and ML systems that ensure scalability, reproducibility, and operational excellence in our analytics projects.

🔧 Key Responsibilities:

• 🛠️ Pipeline Design and Implementation: Create and maintain training and inference pipelines for machine learning models, ensuring environment configuration, data profiling, and distribution maintenance.
• 📊 Model Monitoring and Maintenance: Develop schemes for monitoring model performance, including data drift detection and model drift analysis.
• 🔍 Feature Engineering and Analytics: Apply advanced techniques to extract insights and build effective models.
• 🤝 Collaboration and Documentation: Work with global teams to deliver ML systems and document all processes for traceability and reproducibility.

🎓 Must-Have Qualifications:

• 🇬🇧 Proficiency in English.
• 💻 Technical expertise in SQL, Python or Scala, and related ML packages.
• 🔥 Experience with Spark in Python or Scala, including RDD and Dataset APIs.
• 🛠️ Knowledge of designing ML pipelines, including environment setup, data profiling, and distribution maintenance.
• 🌐 Understanding of infrastructure elasticity, reproducibility, and traceability in ML pipelines.
• 🚀 Experience with CI/CD pipelines for analytics using MLOps practices.
• 📈 Knowledge of model monitoring schemes during inference phases.

📅 Experience: Up to 3 years in a similar role.

🌍 Position Type: Hybrid

Ready to take your career to the next level? Apply now and be part of our innovative team! 🚀