Filly Coder

Artificial Intelligence / Machine Learning Engineer

Filly Coder

Software & Data

IT & Telecoms NGN 75,000 - 150,000
4 weeks ago

Job Summary

The role is to lead the team to work to turn business questions into data analysis effectively and provide meaningful recommendations. This is a unique hybrid role that will focus on your knowledge of data infrastructure and your ability to drive insights. The job holder will develop models and train them, set department objectives; hire, promote, motivate, train, and incentivize the team; Find and implement new technologies.

  • Minimum Qualification:Degree
  • Experience Level:Mid level
  • Experience Length:2 years

Job Description/Requirements

Responsibilities:

  • Architect, build, maintain, and improve new and existing suites of algorithms and their underlying systems,
  • Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance testing, and A/B testing,
  • Utilize your entrepreneurial spirit to identify new opportunities to optimize business processes and improve consumer experiences, and prototype solutions to demonstrate value with a crawl, walk, run mindset,
  • Work closely with data scientists and analysts to create and deploy new product features,
  • Establish scalable, efficient, automated processes for data analyses, model development, validation, and implementation,
  • Write efficient and well-organized software to ship products in an iterative, continual-release environment,
  • Contribute to and promote good software engineering practices across the team,
  • Knowledge sharing with the team to adopt best practices,
  • Actively contribute to and reuse community best practices.


Requirements:

  • University or advanced degree in engineering, computer science, mathematics, or a related field,
  • 2+ 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++, Scala, etc,
  • 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 is a big plus.

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