Senior ML / AI Engineer

Voyc AICape Town, Western Cape, South Africa

30+ days ago

Job description

Voyc AI Cape Town, Western Cape, South Africa

2 days ago Be among the first 25 applicants

This range is provided by Voyc AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

ZAR780,000.00 / yr - ZAR1,000,000.00 / yr

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

Requirements

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

Benefits

In addition to gaining valuable experience and expanding your skills while building trust in financial services, working at Voyc offers :

Remuneration : R780 000 to R1million per year, depending on experience

Option to participate in our share options program

A supportive, growth-oriented team culture that aligns with your personal goals

Flexible working hours

Innovative leave policies

Company-sponsored lunches, travel, and learning opportunities, including an annual offsite event in Cape Town and Travel to the Netherlands

An inclusive and representative workplace

More Perks here

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Industries

IT Services and IT Consulting

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