Machine Learning Engineer

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.

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