Machine Learning Data Specialist

Responsibilities:
Collect, clean, and preprocess large datasets for machine learning applications.
Develop and implement data pipelines for seamless data flow and accessibility.
Collaborate with data scientists and engineers to optimize datasets for ML model performance.
Perform exploratory data analysis (EDA) and feature engineering to enhance model accuracy.
Ensure data quality and integrity throughout the machine learning lifecycle.

Requirements:
Strong experience in data wrangling, cleaning, and preprocessing.
Proficiency in Python, SQL, and data manipulation libraries (e.g., Pandas, NumPy).
Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch).
Experience with data pipelines and big data technologies (e.g., Hadoop, Spark).
Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or related field.