Machine Learning Engineer
Machine Learning Engineer
Posted on :
21-08-2025
Employer Active
1 Vacancy
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Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
21-08-2025
Job Description
WHO WE ARE
SQUIRE is the leading business management system designed for the needs of barbers shop owners and their communities. We believe the pursuit of artistry and autonomy should not be restricted by the complexities of running a business. With SQUIRE we provide custom-branded tools resources and guidance to help barbers of all stages and experience levels attract and retain more customers efficiently manage their shop operations and increase their revenue.
Founded in 2015 SQUIRE is trusted by barbers in 4000 shops in more than a thousand cities around the globe. From streamlined booking and opening new shops to real-time earning dashboards and building lasting customer relationships SQUIRE supports shop owners in seamlessly bridging the gap between their personal craft and business goals. SQUIRE enables barbers everywhere to unlock their full potential both as artists and as entrepreneurs.
For more information please visit or download the SQUIRE app from the App or Play Store.
Were hiring a Machine Learning Engineer to embed into our product teams and own the entire ML lifecyclefrom prototype to production. This is not a role for model research or experimentation in a vacuum. Were looking for an engineer who thrives on taking state-of-the-art ML (especially LLMs and AWS-based solutions) and transforming it into deployed maintainable and scalable real-world systems that power SQUIREs products. If youre passionate about building practical ML applications and turning ideas into shipping features this role is for you.
JOB DUTIES & RESPONSIBILITIES
- Own the full ML lifecycle for product featuresfrom ideation to deployment observability and iteration
- Use off-the-shelf models (e.g. in AWS SageMaker Bedrock Comprehend HuggingFace) to solve core user and business problems
- Build and maintain robust scalable ML pipelines and infrastructure (batch and real-time)
- Work cross-functionally with product managers designers and backend engineers to ship ML-powered features
- Drive productionization: model inference latency tuning monitoring logging and failure recovery
- Continuously evaluate and integrate emerging models (especially LLMs) to improve accuracy and capabilities
- Bring an engineering mindset to ML workautomate processes reduce tech debt and champion good software practices in the ML stack
The duties and responsibilities outlined above are not a comprehensive list and additional tasks may be assigned based on business needs.
IDEAL REQUIREMENTS & QUALIFICATIONS
- 3 years of experience in machine learning engineering ideally within a product-oriented tech team
- 1 years of experience building GenAI/LLM-based features and products: chat bots agents features based on Gen AI
- You know the challenges of building AI features. Model choise orchestration hallucinations RAG etc. Ability to stitch together different services to make a production-ready Gen AI solution.
- Strong software engineering background with experience writing clean scalable and maintainable code in Python
- Hands-on experience using cloud-based ML services (especially AWS) and pre-trained models in production
- Experience with modern deployment stacks and MLOps: CI/CD model versioning monitoring etc
- A pragmatic mindsetyou value impact simplicity and reliability over academic perfection
NICE TO HAVE
- Experience integrating LLMs into products via APIs or fine-tuning
- Familiarity with React Native applications or full-stack development environments
- Prior work in consumer or SMB-facing products.
- A Gen-AI-based side project that was used by real users that you can present.
- Experience or willingness to own AI features end-to-end - from the ML/LLM part to making sure it is connected to our db and runs well on our backend.
WHY JOIN SQUIRE
- Work on impactful customer-facing features powered by machine learning
- Help shape our AI-first engineering culture
- Enjoy autonomy and ownership over your domain with the support of an exceptional engineering team
- Competitive salary equity and benefits in a high-growth mission-driven company
Interview Accommodations
SQUIRE is committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are an individual with a disability requiring an accommodation to apply for an open position please email your request to and someone on our team will respond to your request.
Equal Employment Opportunity
SQUIRE provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.
This applies to all terms and conditions of employment including recruiting hiring placement promotion termination layoff recall transfer leaves of absence compensation and training.
Pay Transparency Nondiscrimination Provision
SQUIRE will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay or the pay of another employee or applicant. However employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information unless the disclosure is (a) in response to a formal complaint or charge (b) in furtherance of an investigation proceeding hearing or action including an investigation conducted by the employer or (c) consistent with the contractors legal duty to furnish information.
Employment Type
Contract
Key Skills
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