Director of Artificial Intelligence

Your key responsibilities

• Proven ability to

  design, build, and deploy end-to-end AI/ML systems

  in production.

• Expertise in data science

  , including statistical analysis, experimentation, and data storytelling.
• Experienced in working with

  large-scale, real-world datasets

  for model training and analysis.
• Comfortable

  navigating urgency, ambiguity, and fast-changing priorities

  . Skilled at solving

  complex ML problems independently

  , from idea to implementation.
• Strong leadership experience building and guiding

  high-performing AI teams

  . Hands-on with

  deep learning, NLP, LLMs

  , and classical ML techniques. Fluent in

  model experimentation, tuning, optimisation

  , and evaluation at scale.
• Solid software engineering background and comfort working with

  data and full-stack teams

  .
• Experience with

  cloud platforms (GCP, AWS, Azure)

  and production-grade ML pipelines.
• Bias for action —

  willing to jump into code, data, or ops to ship impactful AI products

  .

Your skills and experience

• PhD

  in Computer Science, Data Science, Machine Learning, AI, or a related field.
• Strong programming skills in

  Python

  (preferred), with experience in Java, Scala, or Go a plus.
• Deep expertise with

  ML frameworks

  like TensorFlow, PyTorch, Scikit-learn.
• Experience with

  large-scale datasets

  , distributed data processing (e.g. Spark, Beam, Airflow).
• Solid foundation in

  data science

  : statistical modelling, A/B testing, time series, and experimentation.
• Proficient in

  NLP, deep learning

  , and working with

  transformer-based LLMs

  .
• Experience with

  MLOps practices

  —CI/CD, model serving, monitoring, and lifecycle management.
• Hands-on with

  cloud platforms

  (GCP, AWS, Azure) and tools like Vertex AI, SageMaker, or Databricks.
• Strong grasp of

  API design

  , system integration, and delivering AI features in full-stack products.
• Comfortable working with

  SQL/NoSQL and

  data warehouses like BigQuery or Snowflake.
• Familiar with

  ethical AI, model explainability

  , and secure, privacy-aware AI development.