Data Meaning is hiring a
AI Specialist/Engineer

Summary

Data Meaning is seeking an innovative and driven AI Specialist/Engineer to join their team. The ideal candidate will have a strong technical background in AI and machine learning, with experience designing, developing, and implementing AI solutions. They will collaborate with cross-functional teams to leverage AI technologies to solve complex problems and optimize business processes.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field
• 3+ years of experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)
• Proficient in programming languages such as Python, R, Java, or C++
• Strong understanding of machine learning algorithms, neural networks, deep learning, and natural language processing (NLP)
• Experience in working with large-scale datasets, data pre-processing, and data visualization tools
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) for deploying AI solutions
• Ability to work in an agile environment and adapt to changing requirements
• Excellent problem-solving skills and the ability to think analytically and critically
• Strong communication skills, with the ability to explain AI concepts to non-technical stakeholders

Responsibilities

• Design, develop, and implement AI models and algorithms to solve business challenges
• Apply machine learning techniques (supervised, unsupervised, reinforcement learning) to develop intelligent systems
• Collaborate with data scientists, software engineers, and business stakeholders to define AI-based solutions
• Analyze large datasets to extract meaningful insights and develop AI models for predictive analytics
• Deploy AI models into production environments and ensure their scalability and performance
• Continuously monitor AI systems and improve them based on performance metrics
• Research the latest AI trends and emerging technologies to drive innovation
• Develop and maintain documentation for AI solutions and workflows
• Provide technical support and guidance to junior team members on AI methodologies

Preferred Qualifications

• Experience in AI ethics and bias mitigation
• Knowledge of reinforcement learning and computer vision
• Experience with AI/ML model monitoring tools like MLflow or Kubeflow
• Contributions to AI research or publications in AI-related conferences