AI/ML Engineer

Experience
< 1 Year
Salary
100,000 - 200,000 PKR
Job Type
Full Time
Job Shift
Morning
Job Category
Traveling
No
Career Level
Non-Managerial
Telecommute
No
Qualification
Bachelor’s/Master’s in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
Total Vacancies
2 Jobs
Posted on
Apr 15, 2025
Last Date
Jul 9, 2025
Company
Datum Labs, Pakistan
Location(s)

Job Description

Datum Labs is seeking a passionate and results-driven AI/ML Engineer to develop, deploy, and optimize cutting-edge AI models.

In this role, you will work on deep learning, generative AI, and neural representation learning, contributing to real-world applications in AI-driven data intelligence.

You will collaborate with cross-functional teams, participate in customer-facing discussions, and ensure our models deliver actionable insights that drive business value.

Key Responsibilities

  • Design, train, and fine-tune AI models, including LLMs, diffusion models, and neural networks.
  • Build and enhance data pipelines & ETL workflows in collaboration with data engineers.
  • Optimize deep learning models for scalability, efficiency, and performance.
  • Implement and manage vector databases (Weaviate, Pinecone) for AI applications.
  • Collaborate with cross-functional teams to align AI initiatives with business objectives.
  • Ensure model explainability, fairness, and bias mitigation for responsible AI practices.
  • Lead customer discussions, providing insights and actionable recommendations.
  • Deploy models in production with intuitive, user-friendly interfaces.
  • Implement MLOps practices for model monitoring, retraining, and lifecycle management.

Job Specification

Requirements

  • Strong proficiency in Python and relevant libraries (PyTorch, TensorFlow, Pandas, NumPy).
  • Hands-on experience with LLMs, Generative AI, Hugging Face Transformers, Diffusers.
  • Knowledge of prompt engineering, model optimization, and fine-tuning techniques.
  • Experience with data analysis, unstructured datasets, and model visualization tools.
  • Familiarity with APIs for model integration (e.g., FastAPI, Flask).
  • Solid grasp of SQL for structured data analysis.
  • Understanding of cloud-based ML tools (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
  • Proficiency in version control systems like Git.
  • Strong problem-solving skills with a keen eye for detail.
  • Excellent communication and presentation skills for technical and non-technical stakeholders.

Nice-to-Have

  • Experience with distributed computing, GPU acceleration, and parallel processing.
  • Knowledge of statistical modeling, Bayesian inference, and neural network architectures.
  • Familiarity with CI/CD pipelines for ML model deployment.
  • Exposure to MLOps tools like MLflow or Kubeflow.

Job Rewards and Benefits

Communication
Leaves
Medical
Provident Fund
Information Technology and Services - Lahore, Pakistan

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