Senior AI / ML Engineer

The purpose of AI and Senior Engineer position is to design, develop, and deploy scalable AI/ML solutions that drive business value. The ideal candidate combines strong engineering skills with a deep understanding of machine learning techniques to build robust, production-grade models and services.

Model Development:

• Design and implement advanced machine learning algorithms (supervised, unsupervised, and deep learning).
• Build and optimize predictive models for real-world business problems.

AI Solution Engineering:

• Convert business requirements into production-ready ML pipelines, from data ingestion to deployment.
• Integrate ML models into existing applications using APIs or microservices.

• Performance Optimization:
• Improve model accuracy, scalability, and inference performance.
• Implement techniques like quantization, pruning, and hyperparameter tuning.

Collaboration:

• Work closely with product managers, software engineers, and other AI/ML engineers to deliver end-to-end solutions.

Continuous Improvement:

• Stay updated on emerging AI/ML technologies and recommend new tools, libraries, and approaches.
• Mentor junior engineers and contribute to team best practices.

Educational Requirements: Bachelor’s Computer Science, Artificial Intelligence, Machine Learning, or a related field.

Required Industry Experience: Minimum 4 Years of Experience in any AI related fields.

Technological Requirements: Excellent command of Microsoft Suites.

Language Requirements: Excellent Good command of English (spoken and written).