Description

You will lead the end-to-end design, development, and deployment of predictive modeling solutions.

Responsibilities

• Design and develop predictive modeling solutions from end to end.
• Productionize machine learning models within CI/CD and MLOps/LLMOps pipelines.
• Consult directly with customers to implement machine learning solutions.
• Troubleshoot and solve complex technical problems during model deployment.

Required Skills

• 4+ years of hands-on experience building and productionizing machine learning models.
• 4+ years of experience in Machine Learning, CI/CD, MLOps, and LLMOps.
• 3+ years of experience in customer-facing consulting roles.
• Proficiency in Python and PySpark.
• Strong knowledge of NumPy, Pandas, Scikit-learn, and Jupyter.
• Advanced SQL skills with SQL Server and Spark.
• Experience with supervised, unsupervised, deep learning, and Artificial Neural Network algorithms.
• Experience using Kubernetes or similar orchestration systems.
• Knowledge of Apache Spark programming and scalable machine learning.

Preferred Skills

• Experience with distributed computing frameworks like Hadoop.
• Experience with cloud platforms such as Azure or AWS.
• Familiarity with data visualization tools including PowerBI, Tableau, or R Shiny.

Key Skills

Education

Any Gradute