AI ML Engineer

• 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., QIMA combines on-the-ground experts for quality inspections, supplier audits, certification, and lab testing, with a digital platform that brings accuracy, visibility and intelligence for quality and compliance data.

• 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.

• Competitive salary package with performance bonuses.
• A wealth of opportunities for professional development.
• A truly flexible and fully remote working environment.
• Exposure to cutting-edge technologies and digital transformation.

About QIMA:

At QIMA, we are on a mission to offer our clients smart solutions to make products you can trust.

Operating in over 100 countries, we serve the consumer products, food, and life sciences industries and help more than 30,000 brands, retailers, manufacturers, and growers achieve quality excellence.

We combine on-the-ground expertise with digital solutions that bring accuracy, transparency, and intelligence for quality and compliance data.

What sets us apart is our unique culture. Our 5,000 Qimers live and make decisions every day by our QIMA Values. With client passion, integrity, and a commitment to making things simple, we disrupted the Testing, Inspection, and Certification industry. Are you ready to hop on this exciting ride with us and help us achieve our mission?