Appsians IT Solution is looking for a motivated and proactive Junior AI Engineer to join its AI development team. The ideal candidate will bring practical experience in AI and machine learning projects, along with a strong eagerness to learn and contribute to innovative AI solutions. This role focuses on supporting the development of intelligent systems by integrating AI tools, optimizing existing models, and assisting in the deployment of AI-driven applications across various platforms.
Key Responsibilities
Assist in the development, training, testing, and deployment of machine learning and AI models. Utilize the N8N AI Tool to apply AI techniques in real-world scenarios such as natural language processing (NLP), computer vision, predictive analytics, and automation. Collaborate closely with senior engineers and data scientists to design and implement AI-based solutions. Prepare large datasets by cleaning, preprocessing, and analyzing data to support modeling tasks. Participate in model validation, performance tuning, and error analysis to improve accuracy and efficiency. Write clean, maintainable, and well-documented code to support AI projects. Develop AI product features, proofs of concept, and demos using the N8N AI Tool. Stay updated on the latest AI/ML trends and advancements, proposing ways to incorporate new technologies into ongoing projects. Support the integration of AI solutions into web, mobile, and cloud-based environments. Contribute to continuous AI model monitoring, retraining, and feedback processes to ensure optimal performance.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field. One to two years of relevant experience working on AI/ML projects. Hands-on experience with the N8N AI Tool, including model building, automation, and workflow creation. Proficiency in Python programming, with familiarity in libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras. Proficiency in React programming language. Solid understanding of supervised and unsupervised learning techniques, including classification and regression. Familiarity with REST APIs, Git, and version control systems. Strong problem-solving and analytical skills. Ability to work effectively in a collaborative team environment. Excellent communication and documentation skills. Exposure to cloud platforms such as AWS, Google Cloud Platform (GCP), or Microsoft Azure for deploying AI models. Experience with large language models (LLMs), prompt engineering, or generative AI tools. Knowledge of data pipelines and MLOps concepts. Experience integrating AI solutions with web or mobile applications. Excellent command of English communication.
This full-time position is based onsite in Lahore, DHA Phase 4. The monthly salary range offered is Rs50,000 to Rs60,000. Candidates who are passionate about AI and eager to develop their skills in a dynamic environment are encouraged to apply.