AI Specialist/Engineer - Qualified Pipeline

🌍 Remote, USA 🎯 Full-time πŸ• Posted Recently

Job Description

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: β€’ Design, develop, and implement AI models and algorithms to solve business challenges.

β€’ Apply machine learning techniques (supervised, unsupervised, reinforcement learning) to develop intelligent systems. β€’ Collaborate with data scientists, software engineers, and business stakeholders to define AI-based solutions. β€’ Analyze large datasets to extract meaningful insights and develop AI models for predictive analytics. β€’ Deploy AI models into production environments and ensure their scalability and performance. β€’ Continuously monitor AI systems and improve them based on performance metrics.

β€’ Research the latest AI trends and emerging technologies to drive innovation. β€’ Develop and maintain documentation for AI solutions and workflows. β€’ Provide technical support and guidance to junior team members on AI methodologies. Required Skills &

Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field. β€’ 3+ years of experience working with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). β€’ Proficient in programming languages such as Python, R, Java, or C++.

β€’ Strong understanding of machine learning algorithms, neural networks, deep learning, and natural language processing (NLP). β€’ Experience in working with large-scale datasets, data pre-processing, and data visualization tools. β€’ Familiarity with cloud platforms (e.g., AWS, bolthires Cloud, Azure) for deploying AI solutions. β€’ Ability to work in an agile environment and adapt to changing requirements. β€’ Excellent problem-solving skills and the ability to think analytically and critically. β€’ Strong communication skills, with the ability to explain AI concepts to non-technical stakeholders.

Preferred Skills: β€’ Experience in AI ethics and bias mitigation. β€’ Knowledge of reinforcement learning and computer vision. β€’ Experience with AI/ML model monitoring tools like MLflow or Kubeflow. β€’ Contributions to AI research or publications in AI-related conferences. Apply tot his job

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