Data Scientist

Job Brief:

Employment Type: Onsite

Timings: 12:00-9:00 pm

Location: Johar town G4, Lahore

Responsibilities:

Design, build, and deploy ML models for real-time and batch processing use cases

Work on end-to-end Al projects: from data exploration and feature engineering to model deployment and monitoring

Collaborate with software engineers, data scientists, and product teams to define Al requirements and deliver integrated solutions

Optimize model performance and ensure reliability and scalability in production environments

Conduct model validation, A/B testing, and continuous performance monitoring

Develop and maintain data pipelines, model training scripts, and reusable ML components

Stay current with the latest ML research, tools, and best practices

Required Skills & Qualifications:

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or related field

3+ years of experience in machine learning or Al model development

Proficient in Python and libraries such as scikit-learn, TensorFlow, PyTorch, XGBoost, or Keras

Strong understanding of supervised, unsupervised, and deep learning techniques

Experience in feature engineering, model evaluation metrics, and overfitting/underfitting prevention

Familiar with end-to-end ML lifecycle, including data preprocessing, model training, evaluation, deployment, and monitoring

Experience with cloud platforms such as AWS (SageMaker), Azure ML, or GCP Al Platform

Good grasp of APls, containers (Docker), version control (Git), and CI/CD pipelines for ML workflows

Preferred Qualifications:

Experience with LLMs, NLP, Computer Vision, or

Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)

Knowledge of data annotation tools and working with unstructured data (text, images, video)

Contributions to open-source ML projects or research papers