Deep Learning Engineer

Data Science SME (Subject matter expert)Location : London (Relocation required - Sponsorship will be provided)Experience : 12 to 18 yearsJob 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 deployment2+ years of experience in teaching or training.3+ Years of Hands-on Hybrid Development experience preferred.SkillsAble 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 attitudeFast-pacedProject Management experienceDesirable previous international experience (US, Canada, or Europe)Leading consultants to grow and create tangible benefits and assets.CompetenciesMentor / Develop / Train consultantsOrientation to resultsLeadershipMain responsibilities of the positionCollecting data through means such as analyzing business results or by setting up and managing new studiesTransferring data into a new format to make it more appropriate for analysisBuild tools to automate data collectionCompare and analyze provided statistical information to identify patterns, relationships, and problemsDefine and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineeringPrepare detailed reports for management and other departments by analyzing and interpreting dataTrain assistants and other members of the team how to properly organize findings and read data collectedDesign computer code using various languages to improve and update software and applicationsRefer to previous instances and findings to determine the ideal method for gathering dataDefine and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineeringPrepare detailed reports for management and other departments by analyzing and interpreting dataTrain assistants and other members of the team how to properly organize findings and read data collectedDesign computer code using various languages to improve and update software and applicationsRefer to previous instances and findings to determine the ideal method for gathering dataDesired Skills (Including but Not Limited to):Knowledge in Deep Learning/Neural Networks techniques, specifically NLP (Natural Language Processing, Generative AI and Computer VisionPython and SQL coding skills are indispensableCloud experience in one of AWS - Amazon Web Service, Azure, Google Cloud PlatformProficiency 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 plusExperience using statistical computer languages, including Python & SQL, R is a plus to manipulate data and draw insights from large data setsKnowledge 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 managementFaculty to work toward multiple deadlines simultaneouslyStrong problem-solving skills with an emphasis on product development.Certification in a Cloud-Based/Machine Learning service desirable