Sr. Software Engineer (AI/ML)

January 3, 2024
Application ends: February 29, 2024
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Job Description

  • Understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture.
  • Use exceptional mathematical skills, in order to perform computations and work with the algorithms involved in this type of programming.
  • Produce project outcomes and isolate the issues that need to be resolved, in order to make programmes more effective.
  • Collaborate with data engineers to build data and model pipelines.
  • Manage the infrastructure and data pipelines needed to bring code to production.
  • Demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.
  • Build algorithms based on statistical modelling procedures and build and maintain scalable machine learning solutions in production.
  • Use data modelling and evaluation strategy to find patterns and predict unseen instances.
  • Apply machine learning algorithms and libraries.
  • Lead on software engineering and software design.
  • Communicate and explain complex processes to people who are not programming experts.
  • Liaise with stakeholders to analyze business problems, clarify requirements and define the scope of the resolution needed.
  • Analyze large, complex datasets to extract insights and decide on the appropriate technique.
  • Research and implement best practices to improve the existing machine learning infrastructure.
  • Provide support to engineers and product managers in implementing machine learning in the product.

QUALITY AND REQUIREMENTS

  • University or advanced degree in engineering, computer science, mathematics, or a related field.
  • 5+ years experience developing and deploying machine learning systems into production.
  • Strong experience working with a variety of relational SQL and NoSQL databases.
  • Strong experience working with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with at least one cloud provider solution (AWS, GCP, Azure).
  • Strong experience with object-oriented/object function scripting languages: Python, Java, C++, etc.
  • Solid understanding of Machine Learning / Deep Learning and the existing frameworks such as Tensorflow and PyTorch.
  • Ability to work in a Linux environment.
  • Industry experience building innovative end-to-end Machine Learning systems.
  • Ability to quickly prototype ideas and solve complex problems by adapting creative approaches.
  • Experience working with distributed systems, service-oriented architectures and designing APIs.
  • Strong knowledge of data pipeline and workflow management tools.
  • Expertise in standard software engineering methodology, e.g. unit testing, test automation, continuous integration, code reviews, design documentation.
  • Relevant working experience with Docker and Kubernetes will be a big plus.