Description

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

Responsibilities

• Design and deploy productionized machine learning models.
• Manage the full ML lifecycle using CI/CD and MLOps practices.
• Implement predictive and prescriptive analytics using supervised, unsupervised, and deep learning algorithms.
• Lead technical implementations as a customer-facing consultant.
• Troubleshoot and solve complex technical problems within production environments.

Required Skills

• 4+ years of hands-on experience in Machine Learning and MLOps.
• 4+ years of experience building hands-on ML models.
• 3+ years of experience in customer-facing consulting.
• Expertise in Python and PySpark.
• Proficiency with NumPy, Pandas, Scikit-learn, and Jupyter.
• Advanced SQL skills with SQL Server and Spark.
• Strong knowledge of Artificial Neural Networks and deep learning.
• Experience with Kubernetes or similar orchestration systems.
• Familiarity with Apache Spark programming and scalable machine learning.

Preferred Skills

• Experience with distributed computing frameworks like Hadoop or Spark.
• Data visualization experience using PowerBI, Tableau, or R Shiny.
• Experience with cloud platforms such as Azure or AWS.

Key Skills

Education

Any graduate