AI Specialist/Engineer – Qualified Pipeline Location: BR/LatAm/USA, Remote Position type: Full-time Contract (Short Term or Long Term) Position Summary Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting, renowned for our high-quality consulting services throughout the US and beyond. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We have a diverse, global team of consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture. Job Summary: We are proactively building a pipeline of innovative and driven AI Specialist/Engineers to join our dynamic team. The ideal candidate will have a passion for artificial intelligence and machine learning, with a strong technical background to design, develop, and implement AI solutions. You will work closely with cross-functional teams to leverage AI technologies to solve complex problems, optimize business processes, and drive strategic decision-making. Key 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. Required Skills & Qualifications: + 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. Preferred Skills: + 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. Powered by JazzHR