Artificial Intelligence Engineer

About Us:

FrostByte (Pty) Ltd, established in 2013, is a proudly South African, 100% BEE-owned technology company specializing in
custom software development, quality assurance solutions, and consulting services
across a wide range of technology platforms and niche sectors.

We have built trusted partnerships with leading organizations, including
Discovery, Edge, MultiChoice, BME, and Irdeto
, by consistently delivering innovative and scalable technology solutions.

Our subsidiary,
Frost Technica Private Limited
, based in India, strengthens our delivery capabilities by providing specialized offsite development services and niche skillsets, enabling us to offer cost-effective, high-quality solutions to the South African market.

Overview

We are seeking a highly skilled Senior Python Software Engineer – AI/ML to join our team. The ideal candidate will bring deep expertise in Python and end-to-end AI/ML product delivery, with strong experience in Large Language Models (LLMs), data engineering, and MLOps frameworks. Hands-on exposure to Databricks, Data Foundry, MLflow, Prefect, and Azure ML tooling will be highly advantageous.

Key Responsibilities

• Design, develop, and deploy AI/ML systems into production environments.
• Orchestrate and manage scalable data pipelines with a focus on quality, reliability, and efficiency.
• Own the full AI/ML lifecycle:
• Data ingestion, preprocessing, and validation
• Model training, fine-tuning, validation, and optimization
• Deployment, monitoring, and scaling in production
• Continuous evaluation and improvement
• Implement scalable and maintainable code aligned with modern development practices (CI/CD, testing, reviews).
• Develop APIs and microservices to integrate AI/ML solutions into enterprise platforms.
• Work with containerization and orchestration technologies (Docker, Kubernetes) to enable cloud-native AI solutions.
• Collaborate cross-functionally to deliver business-focused AI capabilities.

Core Competencies & Requirements

AI/ML Expertise

• Proven experience in delivering production-grade AI/ML systems.
• Strong understanding of
  LLMs
  (fine-tuning, embeddings, integration, and deployment).
• Familiarity with NLP techniques and advanced ML workflows.

Software Engineering

• Advanced proficiency in
  Python
  for AI/ML applications.
• Skilled in scalable, maintainable code design and architecture.
• Experience with
  CI/CD pipelines
  , automated testing, and modern development best practices.

Data Engineering

• Hands-on experience with
  Databricks, Data Foundry
  , and
  Apache Spark
  for large-scale data processing.
• Ability to build and maintain ETL/ELT pipelines with strong validation and governance.
• Knowledge of pipeline orchestration frameworks such as
  Prefect
  (or Airflow).

MLOps & Frameworks

• Practical experience with
  MLflow
  for tracking, orchestration, and reproducibility.
• Strong knowledge of MLOps best practices and deployment strategies.

Cloud Platforms & Infrastructure

• Hands-on experience with
  Azure ML services
  (Data Factory, ML Studio, Synapse).
• Azure certification
  will be considered an advantage.
• Exposure to
  AWS
  or
  GCP
  is beneficial.
• Experience with
  Docker
  and container orchestration (Kubernetes).

API Development & Microservices

• Proven ability to design RESTful APIs and microservices.
• Experience integrating AI models into production workflows.
• Familiarity with observability best practices (metrics, logging, tracing).

Qualifications

• Bachelor's degree
  in
  Computer Science, Computer Engineering, Software Engineering, or related field
  (BSc required).
• Honours or Master's degree
  in a relevant field will be an
  advantage
  .
• 5+ years of professional software engineering experience, with at least 3+ years focused on AI/ML.
• Strong experience with ML frameworks such as
  TensorFlow, PyTorch, and Scikit-learn
  .
• Agile methodology experience and strong collaboration skills.