Senior ML Engineer — Remote, End-to-End ML & Cloud
About FullStack FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers by creating a positive, respectful, and supportive work environment where they can achieve their greatest potential.
- 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 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
About FullStack FullStack is one of the fastest-growing software consultancy companies in the Americas. We deliver transformational digital solutions to top global companies and Silicon Valley startups. As an employee-first company, we focus on hiring the most talented software designers and developers 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 4.2-star rating on GlassDoor.
- Our client Net Promoter Score of 68, twice the industry average.
The Position We're Looking To Hire a Senior Machine Learning Engineer To Join Our Team. You'll Work With Our Incredible Clients In One Of Two Ways
- Team Augmentation: You will integrate directly into our client's team and work alongside their existing designers and engineers daily.
- Design & Build: You will work on a FullStack 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.
- Advanced English is required.
- Successful completion of a four-year college degree is required.
- Proven experience designing, developing, and optimizing machine learning models.
- Hands-on experience integrating machine learning solutions into production systems and applications.
- Strong background in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Demonstrated experience building and deploying scalable ML pipelines in cloud environments.
- Proven experience with data preprocessing, feature engineering, and model evaluation techniques.
- Deep experience in working with large datasets and distributed data processing tools.
- Practical experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML systems.
- Familiarity with cloud platforms such as AWS, GCP, or Azure for ML model deployment and scaling.
- Solid understanding of APIs and integrating ML models into backend services.
- Knowledgeable in performance optimization, scalability, and reliability of ML-driven systems.
- Ability to work through new and difficult issues and contribute to libraries as needed.
- Ability to create and maintain continuous integration and delivery of applications.
- Forensic attention to detail.
- A positive mindset and a can-do attitude.
- 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.
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