Democratizing Recruitment
Job Description

Machine Learning Engineer

Intelligence and Data
Department Mission
  • To advance the organization by developing algorithms to build models that uncover connections and make better decisions without human intervention.
Role
  • Your primary responsibility in this role is to research and prototype new ideas using machine learning and deep learning techniques to speed up the creation.
Authority
  • Develop models and train them
  • Research on new technologies
  • Participate in recruitment process
Responsibility
  • 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.
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
Benefits

It's always a good idea to include the benefits of the job the company will provide such as:

  • Flexible hours to give you freedom and increase productivity,
  • Life insurance for you and your family members,
  • Work remotely in the comfort of your home,
  • Free Gym membership so you can stay in shape,
  • Fun and energetic weekly team bonding events,
  • etc.

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