What You will do (Responsibilities) :

• Lead end-to-end ML development across BRKZ. Build and deploy production models, LLM agents, and data-driven workflows that improve accuracy and cut manual work across Finance, Credit, Procurement, and Operations.
• Scope problems with Product and Ops, size impact, and turn workflows into measurable gains.
• Cover full-stack ML engineering and applied data science: data analysis, feature engineering, modelling, evaluation, and monitoring.
• Own model lifecycle, reliability, and PDPL compliance. 
• Guide standards for data quality and ML practices. Mentor ML and AI engineers.

Who You are (Qualifications) : 

* Expert Python and ML engineering.

* 5 to 8 years in ML engineering or applied AI with delivery in production environments
* Strong with LLMs, embeddings, RAG, and classical ML models.
* Skilled in data analysis, feature engineering, and evaluation.
* Experience building and scaling pipelines.
* Strong cloud deployment background.
* Able to quantify business impact and guide decisions.
* Strong communication and mentoring ability.
* Python, FastAPI, LangChain, Vertex AI or OpenAI APIs, TensorFlow or PyTorch, Scikit-learn, Pinecone or equivalent vector DB, Airflow or Prefect, GitHub, Docker, Terraform, PostgreSQL, BigQuery, n8n or similar workflow tools.

What we offer:

• Great opportunity to be part of a start-up with a lot of responsibility and independence early on and where you will have an impact on the entire business
• Attractive compensation package
• Access to tools helping with your learning and development
• Product first mindset
• The best idea wins; we are all ears when it comes to ways to do things better
• Exciting stock options 

About the team

The Careem Data Science team’s mission is to drive competitive value from data at scale through building AI models to optimize user experiences, decision making, operational efficiencies, and lead the region’s AI ecosystem. As one of the leaders in this team, you will be at the forefront of fulfilling this mission. You will be working with and leading the top data science talent of the region, leveraging AI to solve the region’s day-to-day problems, through state-of-the-art machine learning, optimization, deep learning, and RL models, that are deployed on top of our own in-house AI platform, serving users in real-time.

What you'll do

• Build a long-term vision on how we can rethink our customer acquisition and engagement strategies, leveraging data in our decision making.
• Drive exploratory analysis to understand the ecosystem, user behavior, identify new levers to help move metrics, and build models of user behaviors for analysis and product enhancements.
• Shape and influence data/ML models and instrumentation to optimize the product experience and generate insights on new areas of opportunity and new products.
• Provide product leadership by sharing data-based recommendations to communicate state of business, root cause of change in metrics, and experimentation results influencing product and business decisions
• Implement scalable machine learning algorithms that will be used in production on big data.
• Embark on exploratory data analysis projects to achievea  better understanding of phenomena as well as to discover untapped areas of growth and optimization. 
• Answer complex analytic questions from big data sets to help Careem shape its products and services in a better way.
• Help define and track the appropriate key metrics for specific projects. 
• Design and run randomized controlled experiments, analyze the resulting data, and communicate results with other teams.
• You will always challenge the status quo and continually investigate new data processing technologies and seek to ensure that we follow the industry best practices.

What you'll need

• Experience in data mining, predictive modeling, time series analysis, machine learning, Big Data methodologies, transformation and cleaning of both structured and unstructured data.
• Advanced degree in a quantitative discipline such as Physics, Statistics, Mathematics, Engineering or Computer Science.
• Strong problem solving and coding skills.
• Solid knowledge of and experience with marketplace problems in ride hailing and delivery services. 
• Solid knowledge of AB testing, classic ML and DL
• Solid understanding of recommendations, learning to rank, uplift modeling and matching problems. 
• Fluency in English along with excellent oral and written communication skills.
• Proficiency and demonstrated experience in: Python, SQL, Spark, Hive.
• Demonstrated experience with database technologies (e.g. Hadoop, BigQuery, Amazon EMR, Hive, Oracle, SAP, DB2, Teradata, MS SQL Server, MySQL).
• Demonstrated experience with business intelligence and visualization tools (Tableau, MicroStrategy, ChartIO, Qlik) along with geospatial data processing skills is a plus.
• Knowledge of Agile methodologies.