Machine Learning Engineer (AI)

Job Responsibilities

• Collaborate with cross-functional teams to integrate AI/ML capabilities into enterprise and web-based applications.
• Design, train, and deploy machine learning models for applications such as predictive analytics, recommendation engines, and intelligent automation.
• Build and maintain data pipelines using structured and unstructured data from APIs, databases, and third-party systems.
• Integrate AI services into existing systems via RESTful APIs and microservices architectures.
• Participate in code reviews, testing, and documentation to ensure high-quality and maintainable deliverables.
• Monitor and optimize model performance in production environments, ensuring continuous improvement.
• Stay up to date with emerging AI/ML frameworks, tools, and best practices to drive innovation and scalability.

Job Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Over 5 years of professional experience in AI/ML. Proficiency in Python and familiarity with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
• Understanding of software development principles and experience with version control systems (e.g., Git).
• Familiarity with REST APIs, JSON, and deploying ML models in web applications.
• Hands-on experience with SQL and NoSQL databases; knowledge of ETL processes is an advantage.
• Exposure to cloud platforms (AWS, Azure, or GCP) and containerization tools (e.g., Docker) is a plus.
• Strong analytical thinking, problem-solving, and collaboration skills.
• A self-motivated learner with the ability to adapt in a fast-paced, client-focused environment.