Our client is currently seeking an experienced Machine Learning Engineer to join their growing team and contribute to the development and optimization of the technical infrastructure and support enterprise-scale ML data pipelines and model hosting solutions.
Location: Fully-Remote (Work from Home), 9 AM - 5 PM EST
Key Responsibilities:
ML Data Pipeline Support: Design, develop, and maintain enterprise-scale machine learning data pipelines and data licensing marketplace, ensuring efficient data flow and integration.
Model Training Integration & Hosting: Integrate training pipelines for machine learning models and host ML models for low-latency interference.
Full Stack Development: Contribute to full stack development with a focus on backend systems, ensuring seamless integration and functionality.
Cross-Functional Collaboration: Work closely with cross-functional teams to gather requirements, provide technical insights, and ensure successful project execution.
Communication and Analysis: Utilize excellent communication and analytical skills to effectively convey technical concepts and analyze complex problems.
What Success Looks Like:
Robust Pipelines: Successfully develop and maintain ML data pipelines that support enterprise-scale operations and enhance data processing efficiency.
Efficient Model Hosting: Implement low-latency model hosting solutions that meet performance benchmarks and support business goals.
Collaborative Impact: Contribute to successful cross-functional projects, enhancing team collaboration and achieving project milestones.
Qualifications:
Experience: 4+ years of experience in full-stack development with a focus on backend systems.
Technical Skills: Proficiency in programming languages such as Python, JavaScript, and Java.
ML Expertise: Experience with supporting enterprise-scale ML data pipelines and model hosting for low-latency inference.
AWS Familiarity: Familiarity with AWS systems is a plus.
Startup Experience: Prior experience in a startup environment is advantageous.
Communication: Excellent verbal and written communication skills.
Analytical Ability: Strong analytical skills for problem-solving and data analysis.
Independence: Ability to work independently and demonstrate self-motivation.
This role offers an exciting opportunity for a Machine Learning Engineer to contribute to cutting-edge projects in the field of AI and ML. If you are passionate about technology and eager to drive innovation, we invite you to apply and join our client’s forward-thinking team.
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