Machine Learning And Ai Engineer

Summary

Join Voyc, a company building solutions for financial services, as a Machine Learning Engineer. You will develop features empowering customers to make informed decisions, working on impactful projects integrating NLP and LLMs to refine machine learning systems. This role involves designing, developing, and deploying AI and ML products, collaborating with various teams to enhance the platform's AI capabilities. You will leverage advanced AI, machine learning, and data science techniques to support autonomous data-driven decision-making and deliver personalized customer experiences. The ideal candidate possesses expertise in machine learning, programming, and automation in real-world applications. This is a chance to work with cutting-edge technologies and contribute to a high-impact, fast-growing SaaS platform.

Requirements

• Bachelor Degree in a Science or Engineering discipline
• At least 2 years of experience in machine learning and generative AI feature development, with expertise in NLP
• Experience developing and deploying NLP models for text and token classification, sentence similarity, anomaly detection, and text generation
• An understanding of transformer-based architectures and experience with the HuggingFace ecosystem and AI/ML frameworks (e.g., TensorFlow, PyTorch)
• Strong understanding of MLOps practices, including experiment tracking, model versioning, and cloud-based deployments (AWS preferred)
• Ability to develop innovative and scalable ML/AI solutions that are business-ready

Responsibilities

• Design, develop, and deploy ML models and algorithms to solve complex business problems
• Develop and enhance NLP models for classification, insights extraction, task prioritisation, and recommendation systems
• Work with structured and unstructured data to analyse trends and develop solutions that improve decision-making and automation
• Ensure that all AI models and data handling practices comply with relevant laws and ethical guidelines
• Develop and expand the capabilities of our LLMs and interactive AI assistant, focusing on generative AI applications
• Refine and optimise LLM output and reliability using prompt engineering techniques
• Incorporate techniques like Retrieval-Augmented Generation (RAG), vector databases, and semantic searches to improve precision and relevance in data extraction from large datasets
• Collaborate with Product and stakeholders to define AI use cases and implement effective prompting strategies
• Architect and maintain scalable, containerised environments for AI model deployment
• Implement and manage CI/CD pipelines for seamless integration and delivery
• Integrate experiment tracking and monitoring tools to record modelling progress and deployment performance
• Leverage model optimisation and quantisation frameworks to streamline model inference, reduce latency, and enable efficient scaling of ML deployments
• Work closely with data scientists, software engineers, and product teams to define requirements and deliver AI-driven solutions
• Continuously monitor advancements in AI and LLM technologies and review relevant academic literature and industry releases to ensure our strategies and implementations align with the latest innovations and standards
• Prototype ML systems and AI concepts, particularly those using NLP and LLMs, and evaluate the effects of different models and techniques on AI performance

Preferred Qualifications

• Demonstrated ability to implement ML workflows at scale, particularly using LLMs, in a SaaS or enterprise environment
• Experience in handling, analysing, and extracting insights from large and complex datasets, particularly noisy text data
• Previous experience tuning open source and proprietary large language models
• Prior experience mentoring or leading junior ML engineers

Benefits

• A caring, growth-focused team culture where we support your personal and professional goals
• Flexible working hours and a forward-thinking approach to leave policies
• Company-sponsored lunches, travel, and learning opportunities, including an annual all expenses week away team offsite
• An inclusive and representative workplace that values diversity
• Competitive salary and equity options , giving you ownership in Voyc’s success
• A flexible, hybrid or remote working model, so you can choose to work from home or our office