AI/ML Solution Architect

Main Responsibilities
• Transform AI/ML Projects: Transition AI/ML prototypes into production-ready solutions working closely with business leaders and data scientists.
• Design and Deploy Models: Develop and deploy scalable machine learning models and algorithms to solve complex business problems.
• Integrate AI/ML Solutions: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
Key Qualifications
• Education and Experience: Bachelor's or master's degree in Computer Science, Software Engineering, Data Science, or a related field, with at least 3+ years of experience in software development, including some experience with AI/ML frameworks like TensorFlow, PyTorch, or scikit-learn.
• Programming Skills: Strong proficiency in Python and experience with relevant libraries (NumPy, Pandas, TensorFlow, PyTorch, Keras, etc.). Knowledge of additional languages like Java, C++, or SQL is a plus.
• AI/ML Fundamentals: Foundational understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and model evaluation techniques.
• Data Handling: Proficiency in data preprocessing and feature engineering.
• Cloud Platforms: Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).
Why QIMA
• Competitive Salary: A competitive salary package with performance bonuses.
• Professional Development: A wealth of opportunities for professional development.
• Flexible Working Environment: A truly flexible and fully remote working environment.
• Cutting-Edge Technologies: Exposure to cutting-edge technologies and digital transformation.