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Job Alert: AI/ML (Artificial Intelligence / Machine Learning) Lead at Glodaris Technologies Limited

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Glodaris is a Global independent consultancy firm focusing on ICT, Lean Manufacturing System, Lean Six sigma Services, Data and Information Management, Data collection, Bigdata, Research and Innovation (R&I),. We serve the private-sector, the public sector, the world’s top companies, countless new ventures, and governments and non-governmental organizations (NGO).

We are recruiting to fill the position below:

Job Title: AI/ML (Artificial Intelligence / Machine Learning) Lead

Location: Abuja (FCT)
Employment Type: Full-time

Role

  • 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.

Responsibilities

  • Architect, build, maintain, and improve new and existing suite 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 re-use community best practices.

Authority:

  • Develop models and train them,
  • Set department objectives,
  • Hire, promote, motivate, train and incentivize the team,
  • Find and implement new technologies.

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++, 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.

Application Closing Date
12th January, 2022.

Method of Application
Interested and qualified candidates should send their Applications (Resume and Cover letter) to[email protected] using the Job Title as subject of the email.

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