Data Science Engineer

Data Scientist

Key Responsibilities:

• Design, develop, and deploy

  machine learning models

  and

  AI algorithms

  to solve real-world business problems.
• Work with large and complex data sets to identify patterns, trends, and actionable insights.
• Build and maintain

  data pipelines

  for data ingestion, transformation, and validation.
• Leverage

  Python

  and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn) for model development and evaluation.
• Deploy and manage models on

  Cloud platforms

  (AWS, Azure, or GCP).
• Collaborate with cross-functional teams including data engineers, analysts, and business stakeholders.
• Continuously monitor model performance and retrain/improve models as required.
• Document processes, workflows, and research findings.
  

Required Skills & Qualifications:

• Bachelors or Master’s degree in

  Computer Science, Data Science, Statistics, or related field.

• 3–8 years of hands-on experience in

  data science, AI, or ML

  roles.
• Strong programming expertise in

  Python

  (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).
• Proficiency in

  SQL

  and experience working with large-scale datasets.
• Practical knowledge of

  Cloud environments

  (AWS Sagemaker, Azure ML, GCP Vertex AI).
• Familiarity with

  MLOps

  ,

  API integration

  , and

  model deployment workflows

  .
• Excellent problem-solving, analytical, and communication skills