Remote Machine Learning Engineer

Posted

Apply now
Please, let Agiloft know you found this job on RemoteYeah. This helps us grow 🌱.

Description:

  • Agiloft is seeking an experienced Machine Learning Engineer to join their Data Science Team, focusing on machine learning and generative AI.
  • The role involves building and integrating production features that utilize machine learning technologies, collaborating with Data Scientists, ML Engineers, Knowledge Experts, and Engineering teams.
  • Responsibilities include developing and optimizing infrastructure for machine learning prototyping, deployment, and iterative improvements based on customer feedback.
  • The engineer will support the development and maintenance of the AI platform, providing both standard and custom AI model solutions for clients.
  • The position requires architecting robust data pipelines to address scalability and performance issues, while advocating for best practices within the team.
  • The engineer will engage in project initiatives, contribute to planning processes, and educate internal stakeholders about machine learning projects and their business implications.
  • Additional duties may be assigned as needed.

Requirements:

  • Candidates must have 3-5 or more years of experience in a Machine Learning Engineering role.
  • Fluency in Python and the associated Data Science stack (numpy, scipy, scikit-learn, pandas) is required.
  • Proficiency in at least one relational database language is necessary.
  • Strong communication skills are essential to explain the abilities and limitations of ML systems to developers, product managers, and UX designers.
  • Experience with deep learning and generative AI models, both third-party and open-source, is preferred.
  • Expertise in designing and implementing robust data pipelines, particularly for scalability and performance, is required.
  • Candidates should have the ability to architect and deploy basic machine learning models in a production environment.
  • Experience with cloud-based infrastructure environments (AWS, GCP, etc.) and containerization technology (Docker, Kubernetes) is necessary.
  • Knowledge of machine learning model optimization and the ability to advise on trade-offs and options is required.
  • Familiarity with model drift and the ability to monitor and respond appropriately in straightforward scenarios is necessary.
  • Experience with at least one CI/CD tool and modern principles of software development and version control is required.

Benefits:

  • The position offers a competitive salary range of $110,000 - $125,000 per year, excluding bonuses and benefits.
  • Agiloft promotes a diverse and inclusive workplace, encouraging individuals from all backgrounds to apply.
  • The company supports a healthy work/life balance, including floating holidays and a quarterly wellness day.
  • Employees are encouraged to bring their authentic selves to work, fostering a positive employee experience that translates to customer experience.
  • Agiloft is committed to providing accommodations during the recruiting process for those who need them.
Apply now
Please, let Agiloft know you found this job on RemoteYeah . This helps us grow 🌱.
About the job
Posted on
Job type
Salary
$ 110,000 - 125,000 USD / year
Report this job

Job expired or something else is wrong with this job?

Report this job
Leave a feedback