Liquid Technologies (LiqTeq) is an end-to-end Design and Development Agency. We offer various services in DevOps, Data services and AI to multiple businesses and organizations and those that are in the startup phase. We’re a team of creators, thinkers, explorers and judo trainees. We approach work and play with curiosity and experimentation, using what we learn to create meaningful digital products that connect with people.
We are looking to add a ML Engineer to join our Karachi office.
Job Responsibilities:
- Deploy, monitor, and manage machine learning models in production environments.
- Develop and maintain scalable ML pipelines for training and inference.
- Automate model retraining and deployment using CI/CD workflows.
- Optimize cloud and on-prem infrastructure for ML workloads.
- Implement monitoring, logging, and alerting for model performance and drift detection.
- Ensure reproducibility, version control, and governance for ML models.
- Collaborate with data scientists to optimize model deployment strategies.
- Work with Kubernetes, Docker, and cloud platforms (AWS, GCP, Azure) for model hosting.
- Manage feature stores, model registries, and data pipelines.
Job Requirements:
- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
- Proficiency in Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with ML pipeline orchestration tools like Kubeflow, Airflow, or MLflow.
- Strong knowledge of DevOps & CI/CD practices for ML (Git, Jenkins, Docker, Kubernetes).
- Familiarity with cloud platforms (AWS SageMaker, GCP Vertex AI, Azure ML).
- Experience in model monitoring, logging, and automated retraining.
- Understanding of data engineering, feature stores, and ETL pipelines.
- Strong problem-solving and collaboration skills.
- Knowledge of cloud platforms (e.g AWS, Azure, GCP) and their machine learning services are advantageous.
- Excellent communication skills to convey technical concepts to diverse audiences effectively.