We are growing!

FDNA is a young and dynamic company at the leading edge of technology and science.

We at FDNA are looking for people that are mission driven, passionate and want to make a real impact in the world.

Check out bellow our vacancies or send your resume and CV to jobs@fdna.com

• Job Title
  Location
• Senior MLops Engineer – FDNA
  Remote

  Responsibilities

  • Adapt, implement and integrate AI algorithms from POC to real-world use cases
  • Build MLops automatic solutions for training, evaluating, and deploying algorithms
  • Implement data processing and management pipelines
  • Extend existing ML / DL code and frameworks
  • Log and document extensively POCs and experiments
  • Plan and implement automatic research to production cycles
  • Help in the recruitment of talents in the field
  • Keep abreast of developments in the field

   

  Requirements

  • Understanding of data structures, data modeling, and software architecture
  • Vast experience with Linux and containers (Docker and Kubernetes)
  • Vast experience with cloud platforms (GPC / AWS / Azure)
  • Familiarity with common ML python frameworks (scikit-learn, scipy, matplotlib, TensorFlow / Keras or PyTorch etc.)
  • Excellent communication and presentation skills
  • Outstanding technological problem-solving skills
  • Proven track record of working with image/video processing and computer vision solutions is a must
  • BSc/MSc/Ph.D. in Computer Science / Engineering, Mathematics, or a similar field, with an industrial experience

   

  Advantages:

  • Proven experience as a machine learning engineer/researcher or similar role
  • Databases (SQL / Mongo) and basic networking/message passing knowledge

   

  Only Profiles in English will be considered.

  Employment Type
  Full-time

   

• Senior QA Automation Engineer
  Remote

  In FDNA, we work on the early detection of rare diseases with the help of AI technology. FDNA's technology is used by 70% of the world’s geneticists across 2,000 clinical sites in over 130 countries, our next-generation phenotyping (NGP) technologies capture, structure and analyze complex human physiological data to produce actionable genomic insights. We are looking for a senior QA engineer to help us.

  Responsibilities

  • Develop QA frameworks and configurations
  • Develop and agree test plans and test cases with product owner and engineers
  • Capture test cases in AWS Devops that support the test plan and identify specifically what needs to be tested
  • Work within development teams to build automated testing
  • Review stories, specifications and technical design documents to provide timely and meaningful feedback
  • Capture issues in AWS Devops, reporting the issue to the engineers and take full ownership and accountability following up to ensure that corrective action was taken
  • Deliver assignments to agreed quality standards and in line with industry best practises
  • Be a passionate engineer and strive to deliver good code quality with a strong drive towards CI/CD, DevOps and Automation
  • Ensure our solutions meet Fiserv and regulatory test standards and we have a defect free release, every time
  • Participate in determining standards and best practices around code quality
  • Contribute to the resolution of wider value trains and organizational impediments that impact the team(s)

  Requirements

  • Intermediate to advance knowledge of java
  • Asynchronous programming, Exception handling
  • Write test cases using junit
  • Worked with selenium using Java for end to end testing
  • Regular expression for end to end testing
  • Vast experience with Gradle & Maven
  • Understanding of data structures, data modeling, and software architecture
  • Vast experience with containers (Docker and kubernetes)
  • Experience with GIT
  • Experience with REST
  • Knowledge of MySql/Mongo
  • Experience with microservices environments
  • Excellent communication and presentation skills