AI/ML Engineer

Company Description

At QIMA, we’re on a mission to help our clients make products consumers can trust. Working with over 30,000 global brands, retailers, manufacturers and food growers, we are on the ground wherever products are made. We help businesses secure every step of their supply chain with quality inspections, supplier audits, certifications, and lab testing, all powered by our intelligent digital platform.

Our team of 5,000 QIMers (and counting) across 40 offices and laboratories, are united in our shared passion for innovation and integrity, and guided by our QIMA values in the decisions we make every day. We believe in the work we do, and in making a positive difference in the world. Does this sound like something you’d like to be a part of?

Job Description

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.

Qualifications

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.

Additional Information

Why You Should Join Us

• 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.

Please note that only shortlisted candidates will be contacted for the next steps within 15 days from the date of submission.

HR contact point: jinky.suarez@qima.com