Python Job: Machine Learning Engineer

Responsibility

• Refactor prototypes of predictive models into highly performant, production ready solutions
• Work closely with Data Engineers and Data Scientists to create analytical variables, metrics, and models
• Work closely with data scientists to solve difficult engineering and machine learning problems and produce high-quality code
• Choose and use the right analytical libraries, programming languages, and frameworks for each task
• Contribute to building client capabilities by coaching team members on data science methodologies and approaches
• Contribute to best coding and engineering practice across AI projects
• Build/refactor/develop code into reusable libraries, APIs, and tools.

Required Qualifications

• BSc/MSc in computer science, mathematics or related technical discipline
• 1- 4 years’ experience in software engineering with exposure to statistical and/or data

science role (5-10 years for Senior ML Engineer)

• Deep knowledge and proven experience with optimizing machine learning mode in a production context
• Experience with Python or Scala is required. Background in programming in C, C+, Java is beneficial. Exposure to both streaming and non-streaming analytics Experience with SQL, Spark, Pandas, Numpy, SciPy, Statsmodels, Stan, pymc3, Caret, Scikit learn, Keras, TensorFlow, Pytorch, Databricks is beneficial.
• Experience working with large data sets, simulation/optimisation and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.)

Job Types: Full-time, Fixed term contract

Schedule:

• 8 hour shift
• Monday to Friday