Company Description
BUIMB Research LLP is a data-driven consulting and technology firm that helps businesses grow and scale through innovative digital and automation solutions. The company delivers end-to-end services in digital marketing, website and application development, robotics and automation research, and branding and business strategy. BUIMB emphasizes measurable results, creative execution, and strategies grounded in deep research and performance analytics. The team collaborates closely with clients to understand their business goals and designs tailored approaches that drive sustainable impact. BUIMB Research is committed to turning client visions into successful, future-ready solutions.
Role Description
The Artificial Intelligence Engineer will design, develop, and deploy AI and machine learning models to support BUIMB’s digital solutions, automation projects, and data-driven strategies. Day-to-day responsibilities include collecting and preprocessing data, experimenting with algorithms, training and evaluating models, and integrating AI components into web, mobile, or automation systems in collaboration with software engineers and product teams. The role involves researching emerging AI techniques, optimizing model performance for scalability and reliability, and documenting workflows, best practices, and technical specifications. The AI Engineer will also support client projects by translating business requirements into technical solutions and presenting findings to stakeholders in a clear, actionable way. This is a full-time remote role.
Qualifications
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Strong foundations in computer science and mathematics, including data structures, algorithms, linear algebra, probability, and statistics.
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Hands-on experience with machine learning and deep learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and model development workflows.
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Proficiency in programming languages commonly used in AI, such as Python (preferred), and familiarity with libraries for data processing and visualization (e.g., NumPy, pandas, Matplotlib).
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Experience with data engineering practices, including data collection, cleaning, feature engineering, and working with structured and unstructured datasets.
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Knowledge of deploying AI models to production environments, using APIs, microservices, or cloud platforms (e.g., AWS, GCP, Azure) and basic understanding of MLOps concepts.
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Ability to collaborate with cross-functional teams (developers, designers, marketing, and strategy) and translate business needs into AI solutions.
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Strong analytical, problem-solving, and communication skills, with attention to detail and a focus on measurable outcomes.
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Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field, or equivalent practical experience.
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Experience or interest in applications of AI to digital marketing, automation, or business strategy is a plus.
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Demonstrated ability to work independently in a remote setting, manage multiple
