Artificial Intelligence Engineer (AI/ML)

Role Overview

We are seeking a highly skilled AI/ML Engineer to design, develop, and deploy machine learning models and AI-driven solutions that enhance business processes and product capabilities. The ideal candidate will have strong expertise in data science, algorithm development, and software engineering, with a passion for solving complex problems using cutting-edge technologies.

Key Responsibilities

• Model Development: Build, train, and optimize machine learning models for predictive analytics, natural language processing, computer vision, and other AI applications.
• Data Engineering: Preprocess, clean, and structure large datasets for model training and evaluation.
• Deployment & Integration: Implement ML models into production systems using scalable frameworks and APIs.
• Research & Innovation: Stay updated with the latest AI/ML trends and incorporate best practices into solutions.
• Performance Monitoring: Continuously monitor and improve model accuracy, efficiency, and robustness.
• Collaboration: Work closely with cross-functional teams including software engineers, product managers, and data analysts to deliver AI-driven features.

Required Skills & Qualifications

• Bachelor’s or master’s degree in computer science, Data Science, or related field.
• Strong proficiency in Python, TensorFlow, PyTorch, and ML libraries.
• Experience with data pipelines, feature engineering, and model deployment.
• Knowledge of cloud platforms (Azure, AWS, GCP) and containerization (Docker, Kubernetes).
• Familiarity with MLOps practices and CI/CD pipelines.
• Excellent problem-solving and analytical skills.

Preferred Skills

• Experience with deep learning, transformer models, and generative AI.
• Understanding of big data technologies (Spark, Hadoop).
• Exposure to AI ethics, bias mitigation, and responsible AI practices.

To apply, please send your resume and a link to your portfolio to [email protected]