Associate Software Engineer - AI/ML
Lahore, Pakistan · 2 weeks ago
You will develop, train, test and optimize machine learning models and help build AI-powered solutions, including generative AI using LLMs, and integrate them into applications with software engineers.
- Workplace
- On-site
- Seniority
- Entry level
- Team
- Cluster Head
Skills
About the role
Devsinc is looking for motivated AI/ML Associates to join our team and contribute to the development of innovative Artificial Intelligence and Machine Learning solutions. This role offers an opportunity to work on real-world projects, enhance technical expertise, and grow in a collaborative, technology-driven environment. Requirements Develop, train, test, and optimize machine learning models for real-world applications. Assist in designing and implementing AI-powered solutions using machine learning and deep learning techniques. Collect, clean, preprocess, and analyze structured and unstructured datasets. Work with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch. Explore and implement Generative AI solutions using Large Language Models (LLMs), APIs, and prompt engineering. Evaluate model performance using appropriate metrics and improve accuracy and efficiency. Collaborate with software engineers and cross-functional teams to integrate AI/ML models into applications. Maintain technical documentation and follow best practices for code quality, testing, and version control. Stay updated with emerging AI/ML technologies, tools, and industry trends. Qualification: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field. 6 months to 1 year of practical experience in AI/ML development through professional work, internships, or relevant projects. Strong programming fundamentals and a basic understanding of machine learning concepts. A portfolio of relevant projects or practical implementations is a plus. Required Skills: Proficiency in Python programming. Working knowledge of NumPy, Pandas, and Scikit-learn. Understanding of supervised and unsupervised learning algorithms. Basic knowledge of deep learning concepts and frameworks such as TensorFlow or PyTorch. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Basic understanding of REST APIs, Git, and model deployment. Familiarity with Generative AI, LLMs, and prompt engineering is an advantage. Strong analytical, problem-solving, and communication skills.
Posted Oct 21, 2026