AI Enginner
SAA
Published Date: • Lahore, Pakistan (Hybrid)
Description
Join SAA as an AI Engineer where you will leverage your expertise in Machine Learning, Generative AI, and Large Language Models to build innovative AI solutions. In this role, you apply your skills in prompt engineering and PyTorch to develop and optimize AI models that meet business objectives. You focus on enhancing practical MLOps practices using tools like MLflow or Kubeflow to improve model lifecycle management and deployment. This position requires at least two years of experience and a strong alignment with SAA's culture and values. Although this role does not include managing a team, it involves close collaboration with other technical professionals to advance the company's AI capabilities. At SAA, the AI Engineer contributes to designing, testing, and implementing AI-driven applications to support the company’s strategic goals. The role demands continuous learning and adaptation to emerging AI technologies, ensuring solutions remain cutting-edge while being reliable and scalable. You take ownership of the AI model development lifecycle, including data preprocessing, model training, validation, and deployment. Additionally, you play a critical role in troubleshooting and optimizing the performance of machine learning models in production environments, leveraging your knowledge of AI frameworks and MLOps processes.
Responsibilities
- Develop and implement machine learning models focusing on Generative AI and Large Language Models to create advanced AI-driven solutions.
- Design effective prompt engineering strategies to maximize the performance and relevance of AI models.
- Employ PyTorch to build, train, and refine neural networks for various AI applications.
- Apply MLOps best practices using MLflow or Kubeflow to automate model versioning, deployment, and monitoring.
- Preprocess and analyze data to prepare it for model training, ensuring high-quality inputs for accurate results.
- Collaborate with cross-functional teams to understand project requirements and deliver AI solutions that meet business needs.
- Continuously research advancements in AI and machine learning to integrate new techniques and tools into development workflows.
- Troubleshoot and resolve issues affecting AI model performance and accuracy in production.
- Document AI systems design and workflow to maintain clarity and facilitate team knowledge sharing.
- Contribute to improving the company’s AI infrastructure and processes to enhance efficiency and scalability.
- Ensure that AI development aligns with SAA’s culture values and promotes a positive, innovative working environment.
Experience
2 Years
Apply By
Required Skills
- Machine Learning
- Prompt Engineering
- PyTorch
- Model Deployment
- Neural Networks
- Data Preprocessing
- Model Validation
- Performance optimization
Nice to Have Skills
- Generative AI and Large Language Models
- MLOps with MLflow or Kubeflow