Staff Engineer - ML

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:

• Google Cloud or Azure Experience
• VertexAl
• Data modelling: relational and non-relational
• GenAl
• Google BigQuery