AI Specialist - Qualified Pipeline

November 12, 2024

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Data Meaning

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Data Meaning is a company that specializes in accelerating analytical workloads for businesses, helping them to increase productivity and focus on high-value tasks. They offer managed services, expert-on-demand solutions, and enablement & training programs to help organizations handle increased workloads and embrace new technologies effectively. With over 20 years of experience and more than 800 projects completed, Data Meaning provides expertise in data governance and strategy, aligning data initiatives with business objectives. They target bottlenecks in productivity and offer solutions in sectors like public sector and other industries to improve efficiency and compliance. Their services are designed to help businesses outsource mundane tasks, increase team engagement, and boost work efficiency through specialized skills and frameworks.

MicroStrategy Consultants • Data Warehousing • Business Intelligence Solutions • Project Management • Dashboard Customization & Design

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

📋 Description

• Data Meaning is a front-runner in Business Intelligence and Data Analytics consulting. • Proactively building a pipeline of innovative and driven AI Specialist/Engineers. • Design, develop, and implement AI models and algorithms to solve business challenges. • Apply machine learning techniques 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. • Provide technical support and guidance to junior team members on AI methodologies.

🎯 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. • 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.