Machine Learning Solutions Engineer

Design machine learning models and scalable AI solutions as an AI Engineer focused on data analysis, model building, and deployment. Support AI-driven platforms.

As an AI Engineer, you will contribute across the machine learning solution lifecycle. The work spans data analysis, model building, integration, testing, deployment, and maintenance. You will collaborate with data scientists and engineers to connect AI capabilities with broader system architectures.

Key Responsibilities:

• Analyze data supporting machine learning and AI solutions
• Build scalable machine learning models
• Test AI systems before deployment
• Deploy and maintain AI systems
• Integrate AI capabilities into broader architectures

Requirements:

• Degree in Computer Science, Engineering, or related field
• Machine learning, deep learning, NLP, and computer vision experience
• Proficiency in Python, Java, and R
• Strong knowledge of TensorFlow or PyTorch
• Excellent problem-solving and teamwork skills

Bring data analysis, model building, deployment, and programming expertise to scalable machine learning solutions for AI-driven platforms.