AI Consultant

Company Description AiMASH is an AI-focused organization dedicated to advancing practical applications of artificial intelligence across industries. Through its online presence and community engagement, AiMASH explores cutting-edge topics such as machine learning, data-driven decision-making, and intelligent automation. The company emphasizes innovative solutions that help organizations harness AI for real-world impact. Team members collaborate remotely, leveraging digital platforms to share knowledge, develop new ideas, and support clients in adopting AI technologies.Role Description The AI Consultant role at AiMASH is a full-time remote position focused on helping clients design, implement, and optimize AI-driven solutions. Daily responsibilities include analyzing business problems, identifying opportunities for AI and data science, and recommending suitable models and approaches. The AI Consultant will develop and evaluate machine learning and NLP prototypes, interpret model outputs, and communicate insights to technical and non-technical stakeholders. The role also involves preparing documentation, reports, and presentations, collaborating with cross-functional teams, and staying current with emerging AI tools, frameworks, and best practices. The successful candidate will work independently while coordinating closely with clients and internal team members across time zones.Qualifications Candidates should possess strong skills in Machine Learning and Data Science, including model development, evaluation, and deployment.Candidates should possess skills in Natural Language Processing (NLP) and Pattern Recognition to design solutions for text, signals, and complex data patterns.Candidates should possess Consulting skills, including requirements gathering, stakeholder communication, and translating business needs into technical solutions.Candidates should possess proficiency in programming languages commonly used in AI (such as Python) and familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).Candidates should possess strong analytical and problem-solving abilities, with the capacity to explain complex concepts clearly to diverse audiences.Candidates should possess experience working in remote, collaborative environments, demonstrating reliability, time management, and self-direction.Relevant academic background in Computer Science, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience, is beneficial.Experience with deploying AI solutions to production environments, cloud platforms (e.g., AWS, Azure, GCP), and MLOps practices is a plus.