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Senior ML / AI Engineer at Voyc. At Voyc, we’re building solutions to help financial services companies better understand and manage their customer interactions. As we continue to grow, we’re looking for a talented Machine Learning Engineer to join our team and develop features that empower our customers to make informed decisions.. In this role, you’ll work on impactful projects that shape the future of our platform and deliver actionable, data-driven insights. You’ll be part of a team that pushes the boundaries by integrating natural language processing (NLP) and large language models (LLMs) to refine and expand our machine learning systems.. The ideal candidate will bring expertise in machine learning, programming, and automation in real-world applications. This is a unique opportunity to work on cutting-edge technologies, optimise text-based machine learning models, and contribute to a high-impact, fast-growing SaaS platform.. The Role. As an ML & AI Engineer, you will leverage advanced artificial intelligence, machine learning, and data science techniques to support autonomous data-driven decision-making processes and deliver personalised customer experiences across our platform.. You will design, develop, and deploy a range of AI and ML products and features, using LLMs and other analytical and predictive AI solutions. You’ll collaborate with Product, Engineering, and Data Science teams to enhance the platform’s AI capabilities, improve model performance, and build scalable machine learning solutions.. Key Responsibilities. ML & NLP Model Development. . Develop, enhance, and deploy NLP models for classification, insights extraction, prioritisation, and recommendation systems.. . Design and implement ML algorithms for structured and unstructured data to improve decision-making, accuracy, and automation.. . Ensure compliance with legal and ethical standards in AI and data handling practices.. . Generative AI & Prompt Engineering. . Expand the functionality and reliability of our LLM and interactive AI assistant through advanced prompt engineering techniques.. . Integrate Retrieval-Augmented Generation (RAG), and semantic search and full text search databases to optimise data extraction from large datasets.. . MLOps & Infrastructure. . Architect, implement, and manage scalable containerised environments and CI/CD pipelines for ML model deployment.. . Monitor and track model performance, optimisation, inference latency, and scalability.. . Collaboration & Innovation. . Collaborate closely with Product, Data Science, and Engineering teams to define AI requirements and deliver effective solutions.. . Continuously evaluate emerging AI/LLM technologies and prototype innovative NLP solutions to enhance product capabilities.. . Must-Haves. . Bachelor Degree in a Science or Engineering discipline.. . At least 5 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.. . Bonus Points (Advantageous but not required). . 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.. . Company Location: South Africa.