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Description:
The Software Engineer will be responsible for designing, developing, and maintaining enterprise-scale machine learning data pipelines and data licensing marketplace.
They will integrate training pipelines for machine learning models and host ML models for low-latency interference.
The role involves contributing to full stack development with a focus on backend systems to ensure seamless integration and functionality.
Collaborating closely with cross-functional teams to gather requirements, provide technical insights, and ensure successful project execution.
Utilizing excellent communication and analytical skills to convey technical concepts effectively and analyze complex problems.
Requirements:
4+ years of experience in full-stack development with a focus on backend systems.
Proficiency in programming languages such as Python, JavaScript, and Java.
Experience with supporting enterprise-scale ML data pipelines and model hosting for low-latency inference.
Familiarity with AWS systems is a plus.
Prior experience in a startup environment is advantageous.
Excellent verbal and written communication skills.
Strong analytical skills for problem-solving and data analysis.
Ability to work independently and demonstrate self-motivation.
Benefits:
Opportunity to work on cutting-edge projects in the field of AI and ML.
Fully-remote position with flexible working hours (9 AM - 5 PM EST).
Chance to contribute to the development and optimization of technical infrastructure.
Support enterprise-scale ML data pipelines and model hosting solutions.
Collaborate with a forward-thinking team on innovative projects.