Job TitleAs part of this team you will be responsible for building advanced analytics solutions using various cloud technologies and collaborating with Business Analysts and Data Scientists to explore various use cases for AI and ML solutions.The Expertise You HaveBachelor’s or Master’s Degree in a technology related field (e.g. Engineering, Computer Science, etc.).5+ years of experience in implementing big data solutions in data analytics space.Strong experience in developing ML infrastructure and MLOps in the Cloud (GCP preferred).Experience in Object Oriented Programming (Java, Scala, Python), or related programming languages and experience with Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc.).Experience building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.Strong knowledge of developing highly scalable distributed systems using Open-source technologies.Solid experience in Agile methodologies (Kanban and SCRUM).Cloud experience (GCP preferred).The Skills You BringGood technical design and analysis skills.Ability to deal with ambiguity and work in fast paced environment.Experience supporting mission critical applications.Familiarity with applied data science methods, feature engineering and machine learning algorithms.Data wrangling experience with structured and unstructured data.Experience building ML infrastructure, with an eye towards software engineering.Superb communication skills, both through written and verbal channels.Excellent collaboration skills to work with multiple teams in the organization.Ability to understand and adapt to changing business priorities and technology advancements in Big data and Data Science ecosystem.The Value You DeliverBuilding algorithms to support AI/ML effortsDesigning, building, and supporting Python code to support critical applications and experimental use cases for AI/ML technologiesWriting roadmap for use cases of various proprietary and open source algorithmsExploring new technology and leveraging those technologies to simplify and optimize AI/ML ecosystems.Driving Innovation and implementing solutions with future thinkingPartnering with applied Data Scientists and Business Analysts to lay software foundations upon which models can be builtGuiding teams to improve development agility and productivity