Job Description for Data Science Engineer

Role: Data Science Engineer

Experience required – 0 – 1 year.
Education: Bachelor’s degree in Computer Science, Engineering, or a related field.

Roles & Responsibilities:

• Assist in designing, developing, and implementing machine learning models and algorithms.
• Work with Python, Pandas, and NumPy for data manipulation and analysis.
• Perform data cleaning, preprocessing, and exploratory data analysis (EDA) using Excel and Python.
• Develop, optimize, and manage large-scale data pipelines with Spark and PySpark.
• Collaborate with senior data scientists and engineers to integrate models into production systems.
• Use Git for version control and collaborative development.
• Work with MySQL, Postgres, and MongoDB to handle and manage datasets.
• Stay updated with the latest trends and technologies in AI, machine learning, and data science.

Job Profile:

• Strong proficiency in Python, with experience in libraries such as Pandas, NumPy, and Matplotlib.
• Familiarity with machine learning concepts and techniques.
• Hands-on experience with large language models such as GPT-3/4, BERT, T5, or similar architectures.
• Experience with TensorFlow, PyTorch, or similar ML frameworks.
• Knowledge of Excel for data manipulation and analysis.
• Understanding of distributed computing frameworks, especially Spark and PySpark.
• Hands-on experience with relational databases like MySQL and Postgres and NoSQL databases like MongoDB.
• Familiarity with version control systems such as Git.
• Analytical mindset and ability to work with large datasets.