• We are looking for candidates with a proven track record in the implementation and deployment of machine learning models
• Established experience collaborating with product managers, developers, and fellow data scientists within a product-led SaaS environment
• We value candidates who not only possess the foresight of a data scientist but also excel as accomplished MLOps Engineers
• Innovative Thinker: Proficient at approaching complex problems with innovative problem-solving skills
• ML Lifecycle Enthusiast: Understands and has an interest in the full machine learning lifecycle, including deploying trained machine learning models developed using the latest frameworks
• Statistical Acumen: Possesses a solid grasp of fundamental probability and statistics concepts, along with being familiar with prevalent supervised and unsupervised learning techniques
• Software Engineering Experience: Brings experience in Software Engineering, including proficiency in Test-Driven Development (TDD) and programming in Python
• Cloud Architecture Mastery: Technical experience of cloud architecture, security, deployment, and open-source tools. Hands-on experience required of at least one major cloud platform
• NLP & Predictive Model Pro: Prior experience developing and productionising NLP / text extraction / text mining models as well as other predictive models, ideally in the insurance / healthcare tech sector
• Containerization Expert: Demonstratable experience with containers and specifically Docker and K8s
• Product-Led: Experience working in product-led organizations and is well-versed in agile team dynamics, leveraging methodologies such as OKRs to streamline work objectives
• Collaborator: Demonstrate strong collaboration skills and willingness to support multiple teams. Possess a proactive attitude towards knowledge sharing and the ability to influence teams and individuals
• Continuous Learner: Committed to personal and collective improvement through a continuous learning. Consistently sharing knowledge and experiences with peers
• Exceptional Communicator: Excels in both verbal and written communication, effectively conveying complex ideas and concepts

Desirable

• We are currently seeking an innovative ML Engineer to join UnderwriteMe and work closely across our Product Teams (Text Mining, Decision Platform etc)
• This role is pivotal in driving the creation of an innovative product set to disrupt the insurance market
• Working within a dynamic cross-functional team that operates based on OKRs (Objectives and Key Results), fostering collaboration among developers, QAs, data scientists, and data analysts, to consistently achieve tangible outcomes aligned with OKR targets
• Employing your deep understanding of AI and staying current with industry trends, you will play a pivotal role in shaping project execution by contributing to the OKR formulation process
• Crafting and refining Machine Learning models and algorithms to address complex product challenges
• Devising and implementing innovative data analysis and data mining strategies, extracting valuable insights from diverse data sources
• Harnessing the power of natural language processing (NLP) techniques to extract pertinent information from textual data
• Formulating predictive models to anticipate future trends, enabling informed decision-making
• Constructing automated ML workflows and integrating CI/CD practices to ensure seamless model deployment and recurrent refinement
• Architecting, deploying, and overseeing APIs for effective model delivery, while also leveraging external APIs to enhance functionality
• Establishing monitoring and logging systems to evaluate model performance, detect anomalies, and guarantee consistent model dependability and accessibility
• Collaborating closely with DevOps and IT teams to orchestrate the smooth transition of ML models into production environments, upholding scalability and security standards
• Champion our data science and machine learning within the team
• Contributing to our AI tech strategy and serving as a thought leader
• Staying curious and keeping abreast of emerging trends across data science and MLOps
• Mentoring fellow data scientists within the team, setting a high standard through exemplary practices