About the role

Responsibilities:

Hands-on code-writing skills; conducts code reviews and works continuously on code quality improvements.
Performs advanced development, support and implementation of complex systems using specialised domain knowledge and highly developed business expertise.
Partners with architects on low-level design.
Leads large projects and programs with limited or no oversight.
Evaluates business and software industry trends and suggests improvements to processes, products and services.
Proposes and champions new ideas, technologies, or process improvements that can enhance the development process and product quality.
Sets standards to deliver high-quality products and services; Sets high standards for self and others.

Requirements:

9-12 years of experience in Data Engineering / Machine Learning.
3-4 years of experience in managing Delivery of Machine Learning projects.
Specialised knowledge in programming, and knowledge and/or experience in Python programming skills.
Specialised knowledge of software development methodologies (Agile).
Specialised knowledge in distributed computing frameworks/databases/machine learning libraries, algorithms and metrics for forecasting, recommendations and optimisations.

Competencies:

Compassionate and kind, showing courtesy, dignity, and respect. They show sincere interest and empathy for all others.
Foster innovation through creativity to get to a workable solution. Use analytical thinking through issues using logic and reason.
Show integrity in what is done and how it is done - without sacrificing personal/business ethics.
Embrace an inclusion-focused mindset, seeking input from others on their work and encouraging the open expression of diverse ideas and opinions.
Team-oriented, positively contributing to team morale and willing to help.
Learning-Focused, finding ways to improve in their field and using positive, constructive feedback to grow personally and professionally.
Think strategically and proactively anticipate future problems, needs or changes in the work.

Mandatory Skills Required:

Distributed Computing frameworks such as Spark, Hive, MapReduce.
Strong Python programming skills.
Machine learning libraries such as PyTorch, Skikit-learn, Scipy, NLTK.
Distributed computing databases such as CosmosDB, MongoDB, Cassandra.
Machine Learning algorithms and metrics for forecasting, recommendations, and optimisations.

Additional Skills Required:

Staff Engineer - ML