Machine Learning Engineer

About EdgeTier:
At EdgeTier, we help customer care teams by seamlessly blending AI, automation and people. Our award-winning technology helps some of the most innovative companies in the world to deliver better quality customer service and to understand their customers better.
We have a huge opportunity to seize. We hope that you can help us get there.

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.

• 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 (5+ years) in Data Science & ML Engineering

• 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

• 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

You are:

• Curious

• Influential

• Confident

• Adaptable

• Proactive & persistent

We have:

• A genuinely exciting opportunity for a passionate marketing leader to join us on our journey from Series A to scale-up.

• A competitive compensation package with meaningful equity to share our success.

• A culture we're proud of. Our working environment is challenging, exciting, rewarding, and fun (really)!

• An annual learning budget to foster curiosity, growth, and development.

• A company-matched pension plan to help you prepare for the future.

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.