Description

You will design, build, and maintain machine learning solutions that generate business insights.

Responsibilities

• Apply modeling techniques (logistic regression, random forest, XGBoost, neural networks) to solve problems.
• Develop, test, and operationalize machine learning models using MLOps platforms like MLflow.
• Manipulate and analyze data using SQL, Pandas, Spark, and Snowflake.
• Generate reports and insights leveraging analytics and programming skills.

Required Skills

• 12+ years of proven experience in machine learning model development and deployment.
• Strong programming skills in Python.
• Expertise with ML/DL libraries: Scikit-learn, TensorFlow, Keras, PyTorch.
• Proficiency in data manipulation tools: SQL, Pandas, Spark.
• Experience working with data warehousing solutions like Snowflake.
• Familiarity with ML lifecycle management (MLOps).

Key Skills

Education

Any Graduate