Mid-Level Machine Learning/AI Engineer

Responsibilities:

• Design, develop, and implement machine learning algorithms and AI systems for various applications.
• Collaborate with cross-functional teams to understand business requirements and provide AI solutions.
• Develop data processing and analytics pipelines to support machine learning models.
• Optimize machine learning algorithms for performance and scalability.
• Stay updated with the latest developments in AI and machine learning technologies.
• Conduct experiments and prototype new concepts to improve system accuracy and efficiency.
• Collaborate in code and design reviews to maintain high-quality standards.
• Document and present the design, architecture, and algorithms in clear and concise manner.
• Contribute to the continuous improvement of AI and machine learning development processes.

Requirements:

• Bachelor’s or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
• 3-5 years of experience in machine learning or AI roles.
• Strong knowledge of machine learning algorithms and principles.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
• Proficiency in programming languages such as Python or R.
• Strong problem-solving and analytical skills.
• Experience with big data technologies and tools.
• Strong verbal and written communication skills.
• Ability to work in a fast-paced environment and handle multiple projects simultaneously.

Desirable Skills:

• Experience with deep learning, neural networks, or computer vision.
• Familiarity with cloud computing platforms (AWS, Azure, Google Cloud).
• Knowledge of software development life cycle (SDLC) processes.
• Experience with data visualization tools and techniques.
• Understanding of data structures, data modeling, and software architecture.

Note: This job description is intended to be comprehensive, but not exhaustive. Other tasks and responsibilities may be assigned as needed.