Description

You will own the design, development, and deployment of advanced data science and ML solutions.

Responsibilities

• Design and implement statistical models and machine learning algorithms.
• Develop and apply anomaly detection techniques (supervised, unsupervised, hybrid).
• Build and deploy Generative AI based implementations into production.
• Process and analyze large datasets using SQL and Spark.
• Engineer and operationalize ML models in production environments (MLOps).

Required Skills

• 10+ years of hands-on experience in data science, AI, or ML engineering.
• Proficiency in Python, R, or Scala.
• Experience with data science libraries: NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow.
• Solid understanding of statistical modeling, hypothesis testing, regression analysis, and variance modeling.
• Expertise working with large datasets using SQL or Spark.
• Experience deploying ML models into production environments, preferably on AWS.

Key Skills

Education

Any Graduate