Description

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

This role is on-site.

Responsibilities

• Apply modeling techniques like logistic regression, random forest, XGBoost, and neural networks to solve business problems.
• Develop, test, and operationalize machine learning models using MLOps platforms such as MLflow.
• Manipulate and analyze large datasets using SQL, Pandas, Spark, and Snowflake.
• Generate actionable reports and insights leveraging advanced 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