AI Engineer

Overview

Summary
We are seeking a highly skilled and innovative AI Engineer to join our team and drive the
development of cutting-edge artificial intelligence solutions. The ideal candidate will have a strong
foundation in machine learning, deep learning, and data science, with the ability to design, build,
and deploy AI models that solve complex business challenges. This role involves collaboration with
cross-functional teams to integrate AI capabilities into existing systems and create new, intelligent
solutions that enhance operational efficiency and user experience.

Key Responsibilities

• Design, develop, and implement machine learning and deep learning models to address business
• needs.
• Analyze and preprocess large datasets to ensure data quality and readiness for AI model training.
• Optimize and fine-tune AI models for performance, scalability, and accuracy.
• Collaborate with software engineers and data scientists to integrate AI solutions into production
• systems.
• Conduct research to stay updated on emerging AI technologies, algorithms, and tools.
• Develop and maintain documentation for AI models, processes, and workflows.
• Monitor and troubleshoot deployed AI systems to ensure reliability and continuous improvement.
• Work closely with stakeholders to define AI project requirements and deliver measurable outcomes.

Required Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in AI, machine learning, or a related domain.
• Proficiency in programming languages such as Python, R, or Java.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with cloud platforms (AWS, Google Cloud, Azure) for AI deployment.
• Solid grasp of data structures, algorithms, and software engineering principles.
• Preferred Qualifications
• Master’s or PhD in a related field.
• Experience with Natural Language Processing (NLP) or Computer Vision techniques.
• Knowledge of MLOps practices and tools for model lifecycle management.
• Familiarity with big data technologies (e.g., Apache Spark, Hadoop).
• Certifications in AI/ML from recognized institutions or platforms.

Key Skills and Competencies

• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and manage multiple projects simultaneously.
• Attention to detail and commitment to delivering high-quality solutions.
• Familiarity with ethical considerations in AI development and deployment.