We are seeking a highly skilled AI Applied Engineer to design, develop, and implement innovative digital solutions powered by Artificial Intelligence. The ideal candidate will bridge the gap between data science and engineering-transforming AI models into scalable, production-ready applications that deliver real-world business impact.
Design, develop, and deploy AI and Machine Learning (ML) solutions for digital transformation initiatives.
Collaborate with data scientists to operationalize AI models using MLOps best practices.
Integrate AI-driven components into existing enterprise systems and cloud platforms.
Build scalable data pipelines to support model training, testing, and deployment.
Leverage frameworks such as TensorFlow, PyTorch, or Scikit-learn for model development and optimization.
Work with cloud-based AI services (Azure AI, AWS SageMaker, Google Vertex AI, etc.) for large-scale deployments.
Apply Natural Language Processing (NLP) , Computer Vision , and Predictive Analytics techniques to solve complex business challenges.
Partner with cross-functional teams to identify opportunities for AI automation and digital innovation .
Ensure solutions meet performance, scalability, and ethical AI standards.
Maintain detailed technical documentation , conduct code reviews, and mentor junior engineers.
Strong programming skills in Python , Java , or C# .
Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, Keras, Scikit-learn).
Experience deploying AI models into production environments .
Knowledge of MLOps tools (MLflow, Kubeflow, Airflow, Docker, Kubernetes).
Familiarity with data engineering tools and ETL pipelines.
Understanding of cloud platforms (Azure, AWS, or GCP) and their AI/ML services.
Proven experience in digital transformation or intelligent automation projects.
Strong analytical and problem-solving abilities with a focus on innovation.
Excellent collaboration and communication skills.
Experience in Generative AI (LLMs, Prompt Engineering, LangChain, RAG frameworks) .
Exposure to Edge AI , IoT , or Real-time analytics .
Familiarity with API integration and microservices architecture .
Knowledge of Responsible AI principles and model governance.
Bachelor's or Master's degree in Computer Science , Artificial Intelligence , Data Science , or a related technical field.