Description

You will build and deploy machine learning models and predictive analytics solutions to drive business impact.

Responsibilities

• Develop and deploy machine learning models and predictive analytics solutions.
• Design, implement, and optimize ML pipelines for both real-time and batch processing.
• Work with large-scale structured and unstructured data to build scalable models.
• Apply statistical modeling, AB testing, and causal inference to evaluate business performance.
• Optimize data science models for performance, scalability, and interpretability in production environments.

Required Skills

• 5+ years of experience in data science and machine learning.
• Proficiency in Python and PySpark.
• Strong knowledge of SQL and big data technologies.
• Experience with supervised and unsupervised learning, including regression, classification, clustering, and NLP.
• Hands-on experience with MLOps and ML pipelines.
• Practical experience with AWS or GCP cloud environments.
• Expertise in statistical analysis, AB testing, and causal inference.
• Ability to handle large-scale structured and unstructured data.
• Any Graduate degree.

Key Skills

Education

Any Graduate