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Machine Learning Engineer At Project Growth (REMOTE, Worldwide $5,000/Month)

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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:

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  • 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.

Application Process:

To be considered for this role these steps need to be followed:

  • Fill in the application form
  • Record a video showcasing your skill sets

Method of Application

CLICK HERE TO APPLY

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