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Description:
Fusemachines is a 10+ year old AI company focused on delivering advanced AI products and solutions across various industries.
The company aims to democratize AI and leverage global AI talent from underserved communities.
This position is a remote, contracted role for a duration of 5 months.
Responsibilities include studying and transforming data science prototypes into production-ready machine learning models.
The role involves training, retraining, and monitoring machine learning systems to ensure optimal performance.
Collaboration with cross-functional teams is required to integrate machine learning solutions into production systems and applications.
The candidate will identify and address potential issues in data distribution that may affect model performance in real-world scenarios.
Ensuring algorithms generate accurate and relevant recommendations is a key responsibility.
The role includes building and maintaining high-performance, scalable machine learning data pipelines to support restaurant technology solutions.
The candidate will design and develop data pipelines to ingest data from various sources, including point-of-sale systems and back-of-house operations.
The use of open-source frameworks and cloud-based tools to build and maintain the data platform is expected.
Implementing and managing production support processes, including data lifecycle management and data quality assurance, is part of the job.
The candidate will also develop scalable REST APIs in Python to expose machine learning models and data services.
Requirements:
A Bachelor's degree in Computer Science, Engineering, Business Administration, Economics, Finance, Statistics, or a related field is required.
A minimum of 4 years of experience in a relevant field is necessary.
Experience in customer intelligence, pricing models, or mixed media modeling is preferred.
Familiarity with the Julia programming language is a plus.
Excellent time management and organizational skills are essential.
Strong analytical and problem-solving skills are required.
Strong communication skills are necessary for this role.
In-depth knowledge of machine learning frameworks such as Keras and TensorFlow is required.
Experience with AWS platform development, including EKS, S3, API Gateway, and Lambda, is necessary.
A deep understanding of probability, statistics, and algorithms is essential.
Benefits:
Fusemachines is an Equal Opportunities Employer, committed to diversity and inclusion.
All qualified applicants will receive consideration for employment without regard to any protected characteristics.
Apply now
Please, let Fusemachines know you found this job
on RemoteYeah
.
This helps us grow 🌱.