Artificial Intelligence Lead - Vice President

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.