Job Description

Key Responsibilities

Design, develop, and deploy machine learning models and pipelines for various business use cases.
Conduct research and stay updated on the latest AI/ML trends, frameworks, and best practices.
Optimize models for performance and efficiency.
Collaborate with data engineers and software developers to integrate ML models into production systems.
Monitor model performance and retrain models as needed.
Able to perform data analysis to evaluate business trends, customer behavior, and campaign effectiveness.
Document your work, write clean and maintainable code, and follow best practices in software development and MLOps.

Key Requirements

Hands-on experience with Google BigQuery & Apache AirFlow
Experience in remote development using cloud platforms (Google Cloud)
Proficient in Python, SQL and ML frameworks (e.g. TensorFlow, PyTorch, scikit-learn)
Strong understanding of machine learning, operations research, and statistical modeling
Experience in data preprocessing and model deployment
Strong problem-solving and teamwork skills
1 - 3 years of proven experience as a Data Scientist
Bachelor’s in Computer Science or related field
Have experience using visualization tools (e.g., Google Looker, Metabase)