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FullStack Labs
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Senior AI Machine Learning Engineer - Remote - Latin America
Argentina
· Full-time
·
Mid-Senior
About FullStack
FullStack 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.
We’re Most Proud Of
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
Learn more about our Applicants Privacy Notice.
FullStack 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.
We’re 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 world’s 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 GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
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 FullStack product team to build and deliver a product to our clients.
- 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 TensorFlow or PyTorch.
- Experience with data analysis and visualization tools like Pandas, NumPy, or Matplotlib.
- Knowledge of LLM.
- Familiarity with GenAI.
- Knowledge of statistical modeling and inference techniques.
- Successful completion of a four-year college degree is required.
- Advanced English 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 FullStack'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.
- Competitive pay in your local currency.
- 100% remote work.
- The ability to work with leading startups and Fortune 500 companies.
- English Classes.
- Ample opportunity for career advancement.
- Continuing education opportunities.
- Depending on your location other benefits may apply.
Learn more about our Applicants Privacy Notice.
Key Skills
Ranked by relevance
machine learning
data analysis
tensorflow
matplotlib
pytorch
python
pandas
numpy
ai
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- Posted
- Dec 26, 2024
- Type
- Full-time
- Level
- Mid-Senior
- Location
- Mar del Plata
- Company
- FullStack Labs
Industries
IT Services
IT Consulting
Categories
Engineering
Information Technology
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Senior AI/ML Engineer - Remote - Latin America
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