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