Description

You will build and manage end-to-end data solutions and machine learning pipelines.

Responsibilities

• Build, manage, and monitor data warehouses using BigQuery.
• Design and implement ETL pipelines using Hadoop, Spark, or Apache Airflow.
• Create custom machine learning models, fine-tune existing models, and develop LLMs.
• Collaborate with product managers, designers, and engineering teams to implement data-driven solutions.
• Perform data cleaning, wrangling, and visualization to handle complex datasets.

Required Skills

• 5+ years of experience in a combined data science and engineering role.
• Proficiency in Python and SQL.
• Experience with BigQuery and Data Warehouse (DWH) setup.
• Hands-on experience with machine learning libraries including TensorFlow, PyTorch, and Scikit-learn.
• Strong statistical expertise and programming skills.
• Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.
• Experience with database systems including MySQL, PostgreSQL, and NoSQL.
• Ability to deploy machine learning models at scale.

Preferred Skills

• Experience with R language.

Key Skills

Education

Any graduate