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
Salary: $5,000/ Month
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 Engineerto 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
Apply here
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