Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q5rbk

About SQUIRE
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 ****, SQUIRE is trusted by more than 30,000 barbers across 5,000+ shops in more than a thousand cities worldwide.
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 getsquire.com or download the SQUIRE app from the App or Play Store.
Position Overview
We're hiring a Machine Learning Engineer to embed into our product teams and own the entire ML lifecycle—from prototype to production.
This is not a role for model research or experimentation in a vacuum.
We're 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 SQUIRE's products.
Job Duties & Responsibilities
Own the full ML lifecycle for product features—from ideation to deployment, observability, and iteration
Use off‐the‐shelf models (e.g., 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 work—automate processes, reduce tech debt, and champion good software practices in the ML stack
Additional tasks may be assigned based on business needs
Adecuado Requirements & Qualifications
5+ years of experience in machine learning engineering, ideally within a product‐oriented tech team
1+ years of experience building Gen AI/LLM‐based features and products: chat bots, agents, features based on Gen AI
Deep understanding of challenges in building AI features: model choice, orchestration, hallucinations, RAG, etc., and ability to stitch together different services to create production‐ready Gen AI solutions
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.
Pragmatic mindset—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
Gen‐AI‐based side project that was used by real users and can be presented
Experience or willingness to own AI features end‐to‐end—from the ML/LLM part to ensuring it is connected to our database and runs well on our backend
Benefits
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 ******.
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 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 contractor's legal duty to furnish information.
Application ID
#J-*****-Ljbffr
#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/q5rbk

📌 Ml Engineer: Build Production-Ready Gen Ai Features (Buenos Aires)
🏢 Squire
📍 Buenos Aires