AI Specialist/Engineer - Qualified Pipeline

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. Apply tot his job