Innoavation/AI Engineer: Involves designing, developing, and implementing AI systems, focusing on building and training machine learning models – using deep learning, neuro-linguistic programming (NLP), computer vision, chatbots, and robotics to help improve various business outcomes and drive innovation.
Requirements
- Experience with machine learning, deep learning, NLP, and computer vision
- Proficiency in coding languages and software programming (Python, Java, R, C++, etc)
- Strong knowledge of AI frameworks such as TensorFlow or PyTorch
- Two or more years of experience in applying AI to practical and comprehensive technology solutions
- Experience with innovation accelerators
- Experience with cloud environments
- Machine Learning Models: Advanced knowledge in Machine Learning models and Large Language Models (LLM), using langchain or a similar tool.
Responsibilities
- Designing, developing, and implementing AI systems
- building and training machine learning models
- Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures.
- Evaluating machine learning processes
- Design and develop AI models and algorithms from scratch (Test, deploy, and maintain AI systems)
- Implement AI solutions that integrate with existing business systems to enhance functionality and user interaction
- Manage the data flow and infrastructure for effective AI deployment
Other
- Advise executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
- Excellent problem-solving skills and ability to work in a team environment
- Strong analytical and problem-solving skills
- Teamwork, communication and collaboration skills
- Experience in program leadership, governance, and change enablement
