Senior AI Engineer

Client Introduction:

Our client is a Leading Fashion, Beauty and Lifestyle e-commerce shopping destination.

About the Role:

We are seeking a Senior AI Engineer to lead the design and implementation of a demand forecasting system for sales and inventory optimization. The ideal candidate will have a strong background in machine learning and time series forecasting, with hands-on experience using AWS SageMaker or other cloud-based ML pipelines.

This is a high-impact role where you will play a pivotal part in shaping our data-driven decision-making and operational efficiency.

Responsibilities:

• Design, build, and deploy scalable demand forecasting models for sales and inventory using ML/AI techniques.
• Work with large datasets to extract meaningful insights and build accurate time series prediction pipelines.

• Leverage AWS SageMaker for model training, tuning, and deployment.

• Collaborate closely with data engineers, product teams, and business stakeholders to align forecasts with business needs.

• Continuously evaluate model performance and improve accuracy and robustness.

• Build monitoring and alerting systems to detect data/model drifts.

• Document models, assumptions, and data pipelines thoroughly for transparency and reproducibility.

Required Skills and Qualifications:

• 5+ years of experience in AI/ML with a focus on forecasting or predictive modeling.
• Proven experience building and deploying demand forecasting or inventory prediction systems.
• Strong proficiency in Python and libraries like pandas, NumPy, scikit-learn, XGBoost, and Prophet or ARIMA/LSTM-based models.
• Hands-on experience with AWS SageMaker, including pipelines, model tuning, and endpoint deployment.
• Solid understanding of time series modeling, feature engineering, and evaluation metrics (e.g., MAPE, RMSE).

• Strong SQL and data manipulation skills.

• Experience with CI/CD practices in ML model development.

Preferred Qualifications:

• Familiarity with retail, e-commerce, or supply chain data.

• Experience with AWS tools like S3, Lambda, Step Functions, or Glue.

• Exposure to MLOps practices (model versioning, monitoring, data validation).

• Understanding of demand planning processes and business KPIs.

Other Details:

Experience: 5+ Years

Work Timings / Day: Sunday - Thursday (10am to 6pm PKT)

Work Mode: Onsite

Location: Karachi

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