Machine Learning Infrastructure Architect
7 days ago
As a Machine Learning Engineering Consultant at Inspire11, you will play a pivotal role in designing and implementing scalable machine learning infrastructure that meets our clients' needs. This includes developing and deploying Generative AI solutions, ensuring security and compliance, and monitoring models in production.
We are looking for an individual with strong software engineering principles, proficiency in cloud architecture (AWS, Azure, GCP), and expertise in data preprocessing and ML techniques. Experience with model evaluation and libraries like TensorFlow, PyTorch is also essential.
The ideal candidate will have proven experience in ML engineering, strong programming skills (Python, R), and cloud services knowledge. Familiarity with agile methodologies is a plus.
This is a unique opportunity to join a dynamic team that values innovation, collaboration, and continuous learning.
Key Responsibilities:
- Designing and implementing scalable machine learning infrastructure
- Developing and deploying Generative AI solutions
- Maintaining model performance and making necessary adjustments
- Ensuring data security and compliance
Requirements:
- 5+ years of experience in machine learning engineering
- Strong programming skills (Python, R)
- Cloud services knowledge (AWS, Azure, GCP)
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Familiarity with agile methodologies
What We Offer:
- Competitive salary: $140,000 - $180,000 per year
- Unlimited time off for work-life balance
- A vibrant company culture that encourages creativity and collaboration
- Ongoing professional growth and development opportunities
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