Machine Learning Engineer, AVP

Join us as a Machine Learning Engineer
Were looking for someone to deploy, automate, maintain and monitor machine learning models and algorithms to make sure they work effectively in a production environment Day-to-day, youll collaborate with colleagues to design and develop state-of-the-art machine learning products which power our group for our customers This is your opportunity to turn your interests into a diverse and rewarding career, as you solve new problems and create smarter solutions in a non-stop innovation environment We're offering this role at associate vise president level What youll do As a Machine Learning Engineer, youll lead the planning and design of complex projects Your daily responsibilities will see you codifying and automating machine learning model production, including pipeline optimisation, tuning and fault finding, as well as transforming data science prototypes and applying appropriate machine learning algorithms and tools, Well need you to deploy and maintain adopted end-to-end solutions, including building metrics to improve system performance and identifying and resolving differences in data distribution which affect model performance, In Addition, Youll Be Responsible For Understanding the needs of our business stakeholders, and how machine learning solutions meet those needs to support the achievement of our business strategy Working with colleagues to produce machine learning models, including pipeline designs, development, testing and deployment to carry on the intent and knowledge into production Creating frameworks to make sure the monitoring of machine learning models within the production environment is robust Delivering models that adhere to expected quality and performance while understanding and addressing any shortfalls, for example through retraining Leading and working in an Agile way within multi-disciplinary data and the analytics teams to achieve agreed project and Scrum outcomes The skills youll need To be successful in this role, youll have an academic background in a STEM discipline, like Mathematics, Physics, Engineering or Computer Science Youll need experience of atleast seven years in machine learning on large datasets and an understanding of machine learning approaches and algorithms, Alongside this, youll have experience of building, testing, supporting and deploying machine learning models into a production environment, using modern CI/CD tools, like TeamCity and CodeDeploy Youll also have good communication skills to engage with a wide range of stakeholders, Furthermore, Youll Need Experience of coaching others Experience of using programming and scripting languages, such as Python and relevent libraries along with machine learning framework such as Tensorflow and Pytorch Experience with AWS, Google cloud platform, or Azure for deploying machine learning models Strong understanding of CI/CD pipelines, version control such Git, and containerization such as Docker Knowledge of various machine learning algorithms, MLOps,LLMOps and familiarity with concepts such as overfitting and model evaluation metrics Show