Machine Learning Engineer

About EdgeTier

At EdgeTier, we empower customer care teams by seamlessly combining AI, automation, and human expertise. Our award-winning technology enables some of the world’s most innovative companies to deliver exceptional customer service while gaining deeper insights into their customers.

We’re on a mission to revolutionise customer service by embedding AI into every interaction, creating seamless and impactful experiences. Our cutting-edge solutions help high-volume B2C brands transform customer experiences by analysing and optimising every touchpoint.

This is an incredible opportunity, and we’d love for you to join us on this journey!

Are you passionate about translating real-world business problems into AI research problems? Are you interested in developing microservices and pipelines to solve these problems?

If so, we invite you to be a key player in revolutionising the way we leverage the latest advances in AI technology to empower our customers. At EdgeTier, we are at the forefront of innovation in customer engagement solutions, and we are seeking a dynamic and experienced Machine Learning Engineer to join our growing team.

What you'll be doing:

• Lead data science projects from inception to completion
• Work with our product and customer success teams to identify problem areas for our customers and hack around with the latest open-source models to find solutions to these problems.
• Develop and maintain scalable microservices to run any models developed.
• Identify weaknesses or potential areas for improvement in our current model setup and implement research/implement any improvements
• Develop and maintain processes to monitor model performance
• Interpret and communicate findings to both technical and non-technical stakeholders.
• Utilise data to tell a story and educate customers
• Mentor and coach team members on the latest technologies and industry trends, to ensure optimal delivery outputs and user experience.
  
  

You would be a great fit for this role if you have:

• Proven experience (2+ years) in Data Science & ML Engineering in industry
• A strong background (2+ years) in the area of Natural Language Processing
• A passion for building best-in-class products which drives data-driven decision-making.
• Experience building microservices in using frameworks such as Flask, FastAPI, Django, etc.
• Some prior experience deploying large language model solutions in production
• Worked with cloud computing platforms such as AWS or Azure
• A background in research (Masters or PhD)
• Comfortable working with and querying large databases
• Excellent communication and presentation skills, with experience in effectively conveying technical information to both technical and non-technical audiences.
• A detail-oriented mindset with a focus on accuracy and problem-solving.
  
  

It would be useful, but not essential if you also have:

• Experience working with vector databases
• Prior experience in the customer service industry
• Experience in agile software development methodologies
  
  

EdgeTier Company Values

At EdgeTier, we’re passionate about building a team of high performers who believe in our mission. Guided by our four core values, we ensure these principles shape everything we do, including how we grow our team.

• Be Accountable
  
  

Take ownership of your work and do it with integrity and to the best of your ability. Be honest about the challenges faced and tackle them head-on. Whether we win or lose, we learn and grow as a team.

• Deliver Value to Customers
  
  

We focus on delivering real value to our customers. Our products are built to help them succeed, and we work to ensure it does. Solving problems and making things easier for our customers is at the core of everything we do.

• Keep Growing
  
  

We’re always learning and improving, whether it’s getting better at what we do, learning something new, or making our products even better, we’re always pushing ourselves to embrace the challenge and get out of our comfort zone.

• Have Craic & Be Sound
  
  

We’re passionate about what we do, but we also know how to have the craic. Being sound means respecting each other and creating a space where everyone can be themselves and enjoy coming to work.

Why you should join us

• Be part of an Irish company that's innovating and revolutionising the customer service industry!
• We're humble but have won lots of awards. #11 in Deloitte's Technology Fast 50, Sifted Europe's Fastest-Growing Startups, Wired Europe's Hottest Startups, Technology Innovation of the Year, + many more!
• Everyone at EdgeTier shares in the success. We offer generous share options, and a bonus structure to round out each compensation package.
• Keep Growing budget of €2,000 annually to spend on your professional growth and learning.
• Enjoy your time outside of work with 23 days of annual leave in addition to annual company shut-down days, a fully paid sabbatical after 4 years of service, and increasing leave entitlements with continued tenure.
• We invest in your health & wellbeing with health insurance, a bike-to-work scheme, and future security with a company-matched pension plan (for Ireland-based employees).
• We mean business when it comes to having the craic. Join us for our legendary company get-togethers and off-sites!
  
  

EdgeTier provides a safe environment that encourages personal and professional growth, nurtures trust, facilitates the development of new values, and fosters long-lasting connections. We take great pride in being an Equal Employment Opportunity employer at EdgeTier. We are committed to a discrimination-free workplace and do not engage in employment discrimination based on race, religion, colour, national origin, ancestry, membership in the travelling community, physical disability, mental disability, medical condition, marital status, gender, gender identity, age, sexual orientation, or any other protected status. This policy encompasses all aspects of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leave of absence, compensation, and training.

Agencies: Please note that we have an internal sourcing model, and do not require agency assistance. Unsolicited CVs will not be accepted.