AI Machine Learning Solutions Architect
hace 1 semana
We are seeking a highly skilled Senior AI Machine Learning Engineer to join our team at FullStack Labs. As an employee-first company, we prioritize creating a positive and supportive work environment that fosters growth and success for our talented software professionals.
As a Senior AI Machine Learning Engineer, you will work closely with our clients in one of two ways:
Team Augmentation: You will integrate yourself directly into our client's team and collaborate daily with their designers and engineers.
Design & Build: You will work on a FullStack product team to design, build, and deliver a product to our clients.
Responsibilities
- 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.
Requirements
- 7+ years of professional experience as a Machine Learning Engineer with strong knowledge of AI.
- 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.
- 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.
About Us
FullStack Labs 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.
We offer competitive pay in your local currency ($120,000 - $180,000 per year) and 100% remote work opportunities. Our benefits package includes English Classes, Virtual company events each month, Ample opportunity for career advancement, Continuing education opportunities, and Depending on your location other benefits may apply.
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