AI/ML Engineer

The Job

In this role, you will transform proof-of-concept AI/ML projects into full-scale production applications. You will leverage your software development, data and foundational AI/ML knowledge to develop robust, scalable solutions that enhance our services and drive QIMA towards further excellence.

If you love working on the practical application of AI/ML, transforming innovative ideas into reliable systems, and collaborating with cross-functional and international teams, we invite you to be a key player in our team's success!

Key Responsibilities:

• AI/ML Solution Implementation: Work closely with business leaders and data scientists to understand user needs and transition AI/ML prototypes into production-ready solutions
• Full-Scale Model Deployment: Design, develop, and deploy scalable machine learning models and algorithms to solve complex business problems.
• Data Integration: Ensure efficient collection and integration of data from diverse sources for training and validation of AI models.
• System Integration: Collaborate with tech teams to integrate AI/ML solutions seamlessly into existing systems and enhance data collection processes.
• Performance Optimization: Continuously monitor and optimize model performance to ensure responsiveness and scalability.
• Code Quality and Maintenance: Write clean, maintainable, and well-documented code, ensuring best practices in software development.
• Process Improvement: Leverage AI/ML to identify opportunities for process improvement and contribute to strategic projects aimed at enhancing business performance and competitiveness.
• Change Management and Adoption: Ensure successful adoption of AI/ML solutions by managing organizational change, assisting with user training, and conducting post-implementation follow-up to support users and address any issues.

Requirements

The Candidate

Required Skills:

• Education and Experience: A 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 such as 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).
• Analytical Skills: Excellent analytical skills, with the ability to interpret complex datasets and derive actionable insights.
• Communication Skills: Excellent verbal and written communication skills, with the ability to effectively collaborate with cross-functional teams and stakeholders

Preferred Skills (not mandatory):

• Natural Language Processing (NLP): Experience with NLP, generative AI and their applications.
• Computer Vision: Knowledge of computer vision techniques and applications.
• Quality Management: Experience in quality management, laboratory testing processes, supply chain management, or quality assurance.