Gap International is looking to solve complex problems and improve operational efficiency within their organization by leveraging cutting-edge technologies in Artificial Intelligence and Machine Learning. They aim to create innovative solutions for internal processes and digital products, and to gain competitive advantages in their consulting services.
Requirements
- Proven experience as an AI/ML Engineer, Data Scientist, or in a similar role, with a track record of designing and implementing machine learning models and algorithms.
- Strong programming skills in Python or other relevant languages, and familiarity with AI/ML frameworks (e.g., PyTorch, Scikit-learn, as well as various Large Language Models, Prompt Engineering, Retrieval-Augmented Generation, AI agents, just to name a few).
- In-depth understanding of machine learning algorithms, deep learning architectures, and statistical modeling techniques.
- Experience with data engineering tools and platforms, and proficiency in handling large, complex datasets.
- Excellent problem-solving and analytical skills, with an ability to work on complex projects and translate business challenges into AI/ML-driven solutions.
Responsibilities
- Research, design, and implement algorithms and models that can learn from and make predictions or decisions based on data.
- Collect, clean, and preprocess data from a variety of internal and external sources.
- Evaluate the efficacy of different models and algorithms using appropriate metrics and statistical methods.
- Keep abreast of developments in AI/ML to continuously improve and update models and techniques.
- Prototype, deploy, and maintain AI/ML models in a production environment, ensuring they are scalable, reliable, and efficient.
- Document the development process, architecture, and standard operating procedures for models and systems.
- Work closely with IT and software development teams to integrate AI/ML solutions into our internal tools and workflows.
Other
- Collaborate with project stakeholders to define scope, objectives, and requirements for AI and ML-driven projects.
- Strong communication skills, both verbal and written, with the ability to effectively convey complex technical concepts to non-technical stakeholders.
- Ability to work independently as well as part of a collaborative team in a fast-paced environment.
- People who thrive in a learning environment and enjoy learning, growing, and performing at their best; energized to continually push beyond their comfort zone.
- Comfortable with ambiguity; eager to take on things they don't know how to do.
