Metropolitan School of Business and Management UK (MSBM), is a London Business school based in the United Kingdom. MSBM is a Pathway College offering ATHE level 4,5, 6 and 7 leading to a University Degree from top UK Universities. MSBM is a private for-profit business school with offices Dubai (UAE), and administrative office in London, United Kingdom. It provides International Students access to outstanding Business and Management Faculties from around the world. MSBM offers a range of online masters in the UK, starting from Level 4 & 5 Undergraduate programmes leading to a Bachelors of Business Management (BBM) and Bachelor of Science in I.T and Computing (BSc I.T) from top UK Universities. We also offer Level 7 Postgraduate Diploma leading to Master of Business Administration (MBA) and Master of Science in Strategic Business Information Technology (MSc I.T) from top UK Universities. MSBM also specialise in a range of Executive education and corporate training through our partnerships with British Universities. All of these courses are offered using state-of-the-art equipment and the latest in blended learning, to ensure every student has the opportunity to succeed to his or her potential. MSBM is also known as one of the tops and leading online business school in London, United Kingdom .
- We are looking for a talented and experienced AI & ML Engineer to join our team to build cutting-edge efficient, data-driven artificial intelligence systems that advance our predictive automation capabilities.
- The ideal candidate will design and construct sophisticated Artificial Intelligence and Machine Learning models, in addition to improving and updating existing systems. The ultimate goal is to create efficient self-learning applications that can evolve over time.
- Join our dynamic team if you want to be at the forefront of innovation.
Responsibilities
- Design and develop machine learning algorithms and deep learning applications and systems.
- Solve complex problems with multi-layered data sets, and optimize existing machine learning libraries and frameworks.
- Collaborate with team members on production systems and applications.
- Identify differences in data distribution that could potentially affect model performance in real-world applications.
- Ensure algorithms generate accurate user recommendations.
- Stay up to date with developments in the AI & ML industry.
- Run machine learning tests and experiments, and document findings and results.
- Train, retrain, and monitor machine learning systems and models as needed.
- Construct optimized data pipelines to feed machine learning models.
- Consult with managers to determine and refine machine learning objectives.
- Document machine learning processes, methodologies, and results to facilitate knowledge sharing and collaboration.
- Stay current with the most recent developments in AI & ML research, methodologies, and technologies, integrating them seamlessly into our workflow.
- Advise stakeholders on technology, strategy, and policy issues related to AI/ML
Qualifications
- A Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field.
- 3+ years of proven experience in Artificial Intelligence & Machine Learning, Data Science, or a related field.
- High-level expertise in programming languages such as Python, R, Java or Julia.
- Experience with deep learning, NLP, and TensorFlow.
- Proficiency in utilizing machine learning libraries and frameworks like TensorFlow, PyTorch, and scikit-learn.
- In-depth knowledge of machine learning frameworks, like Keras or PyTorch
- Familiarity with data structures, data modeling, and software architecture.
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
- Understanding of data structures, data modelling and software architecture.
- Hands-on experience with Natural Language Processing (NLP), computer vision, or other AI subfields.
- Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.
- A comprehensive grasp of machine learning methodologies and principles, encompassing supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with data manipulation, pre-processing, and feature engineering techniques.
Skills & Requirements
- Excellent communication and collaboration skills.
- Impeccable analytical and problem-solving skills.
- Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
- Excellent time management and organizational skills.
- Ability to work in a team
- Problem-solving skills to address complex problems and develop innovative solutions for business needs.
- Creative thinking skills to come up with new solutions and approaches.
Method of Application
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