🛠 Tech Stack

💼 About This Role

You'll design and maintain scalable data pipelines and implement ML models. Your work will enable advanced analytics and AI solutions for the organization. This hybrid role offers exposure to cutting-edge tools like TensorFlow and PyTorch.

🎯 What You'll Do

• Design and build scalable data pipelines.
• Collaborate with engineers to implement data solutions.
• Develop data models for structured and unstructured data.
• Optimize ML algorithms for performance and accuracy.

📋 Requirements

• Bachelor's or Master's in Computer Science or related field.
• 3-5 years of experience in data engineering or AI/ML.
• Strong proficiency in Python with libraries like pandas, scikit-learn.
• Experience with SQL/NoSQL databases and data modeling.

✨ Nice to Have

• Experience with ETL tools like Apache Airflow or Spark.
• Familiarity with cloud platforms (AWS, Azure, GCP).

🚩 Heads Up

• Job title is Data Scientist but primary skills and responsibilities emphasize Data Engineering (pipelines, ETL, infrastructure).
• Requirements list both Data Scientist and Data Engineer roles, indicating a hybrid role that may dilute focus.