Machine Learning Engineer

Overview:
We are seeking a dynamic Machine Learning Engineer with 3-6 years of experience in end-to-end ML projects, focusing on MLOps and automation. If you have a background in Statistics, Economics, Computer Science, Mathematics, or Operations Research, apply now!

Key Responsibilities:

• Manage ML projects from inception to deployment, emphasizing MLOps best practices and automation.
• Utilize frameworks like TensorFlow, PyTorch, Keras, and Scikit-Learn for efficient model development.
• Implement MLOps tools like ModelDB, Kubeflow, Pachyderm, and DVC for streamlined model lifecycle management.

Requirements:

• Experience with Spark, Databricks, and MLOps practices.
• Ability to collaborate effectively with cross-functional data science teams in remote settings.
• Engineering mindset with a focus on scalable ML systems and feature stores integration.

Preferred Skills:

• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies.
• Proficiency in implementing CI/CD pipelines for ML models.
• Excellent communication skills for translating technical concepts to non-technical stakeholders.