Deep Learning Engineer

Data Science SME (Subject matter expert) Location : London (Relocation required - Sponsorship will be provided) Experience : 12 to 18 years Job Requirements: - 12 years of experience manipulating data sets and building statistical and machine learning models. - Masters or Ph D in Statistics, Mathematics, Computer Science, or another quantitative field - Fluent English (written/spoken) - Generative AI, Computer Vision cloud technology, NLP, Deep Learning. - Experience Developing Machine Learning / Data Science models, from coding to deployment - 2+ years of experience in teaching or training. - 3+ Years of Hands-on Hybrid Development experience preferred. Skills - Able to train/mentor/coach in coding (mandatory python and SQL, java or C++) - Project Management background preferred. - Knowledge of the Consulting/Sales structure. - Empathy and service attitude - Fast-paced - Project Management experience - Desirable previous international experience (US, Canada, or Europe) - Leading consultants to grow and create tangible benefits and assets. Competencies Mentor / Develop / Train consultants Orientation to results Leadership Main responsibilities of the position - Collecting data through means such as analyzing business results or by setting up and managing new studies - Transferring data into a new format to make it more appropriate for analysis - Build tools to automate data collection - Compare and analyze provided statistical information to identify patterns, relationships, and problems - Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering - Prepare detailed reports for management and other departments by analyzing and interpreting data - Train assistants and other members of the team how to properly organize findings and read data collected - Design computer code using various languages to improve and update software and applications - Refer to previous instances and findings to determine the ideal method for gathering data - Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering - Prepare detailed reports for management and other departments by analyzing and interpreting data - Train assistants and other members of the team how to properly organize findings and read data collected - Design computer code using various languages to improve and update software and applications - Refer to previous instances and findings to determine the ideal method for gathering data Desired Skills (Including but Not Limited to): - Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer Vision - Python and SQL coding skills are indispensable - Cloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud Platform - Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. - Preferred- Experience creating Chatbots, and similar applications that use NLP. Object Character Recognition and Computer Vision projects like Face Recognition is a plus - Experience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data sets - Knowledge and experience in statistical and data mining techniques: GLM / Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc. - Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc. - Ability to compile and organize statistical information retrieved and present findings to management - Faculty to work toward multiple deadlines simultaneously - Strong problem-solving skills with an emphasis on product development. - Certification in a Cloud-Based/Machine Learning service desirable