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Master AI Engineering with the most practical and comprehensive
at Towards AI Academy.# AI Jobs# Senior AI Machine Learning Engineer - Remote - Latin America## Full

Stack Labs

Published 29 Feb 2024### Share this job

La Vega

Remote

Full Time### Share this job

Towards AI has published Building LLMs for production!## Role Highlights### Languages used

PythonR### Key skills

Machine Learning

Data Analysis

Full Stack

Software DesignAIVisualization

Statistics

Modelling

Agile

Scrum

Startup

Google Analytics### Tools, Libraries and Frameworks

Tensorflow

Pandas

NumPy## Description

Full

Stack Labs - Senior AI Machine Learning Engineer - Remote - Latin America[![Full

Stack Labs logo](https://lever-client-logos.s3.us-west-2.amazonaws.com/3561957e-5435-4b83-a866-a9a3b2b80903-1681422390442.png)](https://jobs.lever.co/fullstacklabs)## Senior AI Machine Learning Engineer - Remote - Latin America

Dominican Republic / La Vega / Puerto Plata / San Cristóbal / San Pedro de Macorís / Santiago de los Caballeros

Engineering Software Development /Full Time /Remote[Apply for this job](https://jobs.lever.co/fullstacklabs/d753993a-cfde-4a64-89d6-0dc8ad62b075/apply)Full

Stack is the fastest-growing software consultancy in the Americas.

We help organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams, and deliver transformational digital solutions.

As an employee-first company, we focus on hiring the most talented software designers and developers in the western hemisphere, by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.

Were most proud of:\\*Offering life-changing career opportunities to talented software professionals across the Americas.\\*Building highly-skilled software development teams for hundreds of the worlds greatest companies.\\*Having delivered hundreds of successful custom software solutions, which have positively impacted the lives and careers of millions of users.\\*Our 4.5-star rating on Glass

Door.\\*Our client Net Promoter Score of 68, twice the industry average.### The Position: We're looking to hire a Senior AI Machine Learning Engineer to join our team.





You'll work with our incredible clients in one of two ways:- \_Team Augmentation:\_ You will integrate yourself directly into our client's team and work alongside their existing designers and engineers on a daily basis.- \_Design & Build:\_ You will work on a Full

Stack product team to build and deliver a product to our clients.### What We're Looking For:- 5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.- Design, develop, and test machine learning algorithms and models.- Analyze and interpret large amounts of data to identify patterns and trends.- Implement and optimize models in production environments.- Develop and maintain documentation on machine learning models and processes.- Identify and address issues that may arise during development and deployment.- Strong programming skills in languages such as Python, R, or Java.- Experience with machine learning frameworks such as Tensor

Flow or PyTorch.- Experience with data analysis and visualization tools like Pandas, Num

Py, or Matplotlib.- Knowledge of statistical modeling and inference techniques.- Advanced English is required.- Successful completion of a four-year college degree is required.- Experience working on Agile/Scrum teams.- Forensic attention to detail.- A positive mindset and a can-do attitude.- Ability to identify with the goals of Full

Stack's clients, and dedicate yourself to delivering on the commitments you and your team make to them.- Ability to consistently work 40 hours per week.### What We Offer:- Competitive pay in your local currency- 100% remote work- The ability to work with leading startups and Fortune 500 companies- English Classes- Virtual company events each month- Ample opportunity for career advancement- Continuing education opportunities- Depending on your location other benefits may apply

Full

Stack is proud to be an equal opportunity workplace.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.

If you have a disability or special need that requires accommodation,



please let us know by completing our Accommodations for Applicants form, which can be provided upon request during our hiring and interview process.

Learn more about our [Applicants Privacy Notice](https://www.fullstacklabs.co/applicants-privacy-notice).[Apply for this job](https://jobs.lever.co/fullstacklabs/d753993a-cfde-4a64-89d6-0dc8ad62b075/apply)[Full

Stack Labs Home Page](https://www.fullstack.com/)[Jobs powered by ](https://www.lever.co/job-seeker-support/)## Apply## Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies.

The full external job listing link should always be relied on for authoritative information.## About the company### Full

Stack Labs### Size715### Website### Founded### HQGranite Bay, US### Public/Private

Privately Held## Description

Full

Stack Labs is the fastest-growing software consultancy in the Americas, focused on helping organizations like Uber, GoDaddy, MGM, Siemens, and Stanford University build distributed software development teams and deliver transformational digital solutions.

As an employee-first company, Full

Stack Labs prioritizes hiring the most talented software designers and developers in the western hemisphere by fostering a positive, respectful, and supportive work environment.

The company prides itself on offering life-changing career opportunities to talented software professionals across the Americas, building highly-skilled software development teams for hundreds of the world's great companies, and having delivered hundreds of successful custom software solutions that have positively impacted millions of users.

With a 4.5-star rating on Glass

Door and a client Net Promoter Score of 68, twice the industry average, Full

Stack Labs demonstrates a strong commitment to excellence and customer satisfaction.## Share### Share this job## Related jobs### Full

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📌 Senior AI Machine Learning Engineer - Remote - Latin America (Argentina)
🏢 Towards AI
📍 Argentina