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Machine Learning Platform Engineer

fully flexible
Remote: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Professional with at least 3 years of experience in AI/ML,, Strong Python skills and knowledge of real-time systems, familiarity with Amazon SageMaker,.

Key responsabilities:

  • Optimize ML engineering by integrating appropriate tools,
  • Maintain overall platform health for machine learning life cycle phases, act as point of contact for stakeholders,
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Destination Workplace Human Resources, Staffing & Recruiting Scaleup https://destinationworkplace.eu/
11 - 50 Employees
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Job description

There are countless tempting destinations, and we all dream about them. The most desirable destination for all of us is the perfect workplace! Our consultants work commits to finding the working environment you thrive in.

The Role: Optimize ML engineering by choosing and integrating the right tooling to improve performance and reliability of the ML systems and cultivate a well thought-out and scalable platform. Stay up to date with new technologies and take the lead when any problems arise, ensuring that all tools perform as required. Maintain the overall platform health to support all phases of the machine learning life cycle (with focus on model training and inference). Become a reliable point of contact for stakeholders and track work progress.

The Company: An award-winning American-based business that gained traction with a breakthrough in the field of cybersecurity. Their disruptive product blends together AI and human acumen to provide next level security for emails and most business communication platforms.

The Team: Cross-functional team made up of seasoned experts in AI/ML. Claim your place alongside world-class Machine Learning, Data, and Platform Engineers and make strides with your own professional accomplishments.

The Culture: Mixture of teamwork and personal responsibility, where only innovative and forward-thinking individuals are trusted to preserve the companys high standards for success. A great environment for those that put great emphasis on their own development and crave to work with teammates that will push them to keep learning and becoming better at what they do.

The Offer: 100% remote work. Standard social benefits pack with health insurance and opportunity to discuss specific benefits if one feels there is something they are missing. A plethora of resources for learning from webinars and conferences to cybersecurity simulations and training programs.

The Candidate: Professional with at least 3 years of experience in the AI/ML industry as a Data Engineer, ML DevOps Engineer, or ML Platform Engineer. Very strong Python skills and knowledge of building end-to-end real time systems. Familiarity with Amazon SageMaker, as well as orchestration tools like MLflow and Airflow. Inquisitiveness and desire to handle some aspects of the work autonomously are the secret ingredients that will allow any candidate to stay inspired and thrive in this ML team for many years to come.

A new for the Bulgarian market opportunity that combines ML and cybersecurity? If you are eager to evolve your career, then let us introduce you to this exhilarating position!

All qualified candidates are encouraged to apply. We thank all applicants for their interest, our team will contact only those candidates selected for interviews. All applications will be treated with strict confidentiality. Recruitment license from National Agency of Employment 3103.

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Human Resources, Staffing & Recruiting
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Open Mindset
  • Verbal Communication Skills
  • Teamwork
  • Creative Thinking

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