Description

You will design and manage the data lifecycle to support large-scale machine learning initiatives.

Responsibilities

• Acquire, clean, and preprocess data from various sources to prepare it for modeling.
• Perform exploratory data analysis to identify trends, patterns, and anomalies.
• Design and implement data pipelines for efficient processing and model training.
• Collaborate with data scientists to design, evaluate, and monitor machine learning model performance.
• Work with IT and engineering teams to ensure data infrastructure meets project requirements.

Required Skills

• 5+ years of experience in data analysis with a focus on AI/ML projects.
• Proficiency in Python, R, and SQL.
• Experience with machine learning libraries including TensorFlow and PyTorch.
• Hands-on experience with data visualization tools such as Tableau or Power BI.
• Strong knowledge of data manipulation, cleaning, and preprocessing techniques.
• Experience with big data technologies including Hadoop and Spark.
• Familiarity with AWS cloud platforms.
• Any Graduate degree in Computer Science, Data Science, Statistics, or a related field.

Preferred Skills

• Degree in Data Science or Machine Learning.
• Knowledge of advanced statistical techniques and modeling.

Key Skills

Education

Any Graduate