AI/ML Solutions Architect - Remote - USA

Jobs
FullStack Labs

FullStack Labs

- Full Time

🌎 Remote

Posted on: 23 September, 2024

AI/ML Solutions Architect - Remote - USA

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 An AI/ML Solutions Architect 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

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Artificial Intelligence, Machine Learning, or a related field.
    • 10 years of experience in designing and implementing complex AI and ML solutions, as a Senior Data Scientist, Machine Learning Engineer, or AI Engineer.
    • 6 years of experience deploying Machine Learning and AI solutions in productive environments.
  • Proven experience as a Solutions Architect or similar role in a technical environment.
  • Experience developing end-to-end pipelines for model training and deployment is a plus.
  • Knowledge and experience working with Spark or Databricks is a plus.
  • Experience working with Cloud Technologies.
  • Experience working with Natural Language Processing is highly desirable.
  • Proficiency in programming languages such as Python, R, or Java, with the ability to architect and develop scalable solutions.
  • Expertise in machine learning frameworks, including TensorFlow or PyTorch, and the ability to leverage them for custom solutions.
  • Desirable experience working with HuggingFace and Transformers.
  • Skilled in utilizing RAG techniques.
  • Expertise in GenAI methodologies.
  • Proficient in Generative LLM.
  • Advanced English is required.
  • Experience working on Agile/Scrum teams.
  • Meaningful experience working on large, complex systems.
  • Ability to take extreme ownership over your work. Every day is a challenge to ensure you are performing to the expectations you and your team have agreed upon.
  • 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 Salary.
  • Paid Time Off (vacation, sick leave, maternity and paternity leave, holidays).
  • 100% remote work.
  • The ability to work with leading startups and Fortune 500 companies.
  • Health, dental, and vision insurance.
  • 401(k) w/ 4% match.
  • Ample opportunity for career advancement.
  • Continuing education opportunities.

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.

Tags:
ai
ml
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