Senior Ai Machine Learning Engineer Latin America (Remote)

Salary: Competitive Salary
Job Type: Full time
Experience: Senior Level

FullStack Labs

Senior Ai Machine Learning Engineer Latin America (Remote)

Senior Ai Machine Learning Engineer Latin America | FullStackLabs | Dominican Republic

About FullStack

FullStack is the fastest-growing software consultancy in theAmericas. We help organizations like Uber, GoDaddy, MGM, Siemens, and...

Senior Ai Machine Learning Engineer Latin America | FullStack Labs | Dominican Republic

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

  • 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.

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 FullStack product team to build and deliver a product to our clients.

What We Are Looking For

  • 5+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
  • Advanced English is required.
  • Design, develop, and test machine learning algorithms and models.
  • Knowledge of LLM.
  • Familiarity with GenAI.
  • 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 statistical modeling and inference techniques.
  • Experience working on Agile / Scrum teams.
  • Successful completion of a four-year college degree is required.
  • 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.

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.

FullStack 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.

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Tagged as: remote, remote job, virtual, Virtual Job, virtual position, Work at Home, work from home

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