Job Description:
We are seeking an experienced MLOps Engineer to join our dynamic team.
The ideal candidate will have a strong background in machine learning operations (MLOps) with a focus on developing, testing, and deploying state-of-the-art forecasting models.
This role requires a deep understanding of machine learning, data engineering, and the ability to work collaboratively with cross-functional teams to integrate data and optimize model performance.
Qualifications:
Experience: 5+ years of experience in MLOps, data science, or a related field.
Education: Bachelor's degree in computer science, Data Science, Statistics, or a related field.
A Master’s degree is preferred.
Technical Skills:
Strong knowledge of machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
Cloud Platforms: Experience with cloud platforms, specifically Azure, and the ability to deploy models using Azure DataBricks.
Analytical Skills: Strong analytical and problem-solving skills with a focus on feature selection and model optimization.
Collaboration: Excellent communication skills and the ability to work effectively in a collaborative team environment.
Preferred Qualifications:
Certifications: Azure certifications or similar MLOps-related certifications.
Experience with Gen AI: Prior experience developing and deploying models that leverage Generative AI technologies.
Advanced Analytics: Knowledge of advanced statistical methods and their application in forecasting.