AI/ML Engineer

Skal is a technology-driven company dedicated to transforming businesses through innovative AI solutions, app and web development, and scalable digital services. The company specializes in delivering AI agents and cost-effective task forces that enable organizations to build, grow, and optimize their operations. By combining advanced technology with efficient strategies, Skal helps clients achieve impactful results while maintaining high performance and reliability. Their offerings range from seamless digital platforms to sophisticated AI-driven tools designed to maximize output with minimal resources.

The AI/ML Engineer position at Skal is a full-time, on-site role based in Lahore. The engineer will be responsible for designing, developing, and deploying machine learning models and AI systems that support both client-facing solutions and internal products. Daily tasks include researching and implementing algorithms, building and training neural network models, performing data analysis and statistical modeling, and optimizing systems for scalability and performance. Collaboration with cross-functional teams is essential to integrate AI capabilities into web and app platforms, maintain robust production pipelines, and document models, experiments, and outcomes for continuous improvement. The role also involves monitoring deployed models, troubleshooting issues, and keeping up to date with the latest AI/ML technologies and best practices.

Key Responsibilities
- Design, develop, and deploy machine learning models and AI systems for client and internal use.
- Research and implement advanced algorithms and neural network architectures.
- Perform data analysis, statistical modeling, and feature engineering to improve model accuracy.
- Optimize existing AI systems to enhance performance and scalability.
- Collaborate with cross-functional teams to integrate AI solutions into digital platforms.
- Maintain and monitor production pipelines, ensuring reliability and robustness.
- Document models, experiments, and results to support continuous learning and improvement.
- Troubleshoot issues related to deployed models and AI systems.
- Stay informed about emerging AI/ML trends, tools, and best practices to drive innovation.

Required Qualifications
- Strong foundation in Computer Science, including algorithms and data structures.
- Practical experience with neural networks and pattern recognition techniques applied to real-world problems.
- Proficiency in statistics and quantitative analysis for model evaluation and tuning.
- Skilled in programming languages commonly used in AI/ML, particularly Python.
- Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Experience building end-to-end machine learning workflows, including data preprocessing, feature engineering, training, validation, and deployment.
- Ability to work effectively in a multidisciplinary engineering environment and communicate technical concepts clearly.
- Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, or a related field, or equivalent practical experience.

Preferred Qualifications and Benefits
- Experience with cloud platforms, MLOps tools, or production-grade AI systems is highly desirable.
- Opportunity to work in a dynamic, innovative environment focused on cutting-edge AI technologies.
- Collaboration with diverse teams to create scalable and impactful digital solutions.

This role offers a chance to contribute to transformative AI projects while growing professionally in a technology-focused company committed to innovation and excellence.