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 teams 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 bachelors or masters 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.

Remote Work :

No

Employment Type :

Full-time