What are the responsibilities and job description for the MLOps Engineer position at Coactive?
As an ML Ops Engineer with Vector Databases and Similarity Search Specialization at CoactiveAI, you will play a crucial role in designing, building, and maintaining our ML infrastructure. You will work closely with Research Scientists, ML Engineers, Software Engineers, and Product Managers to deploy and monitor machine learning models in production. As a specialist in the area of vector databases, your expertise will guide and refine how we leverage this technology in our research and development and in our product offerings.
What you’ll do :
- Design, implement, and maintain scalable vector database solutions to support machine learning models.
- Automate the deployment and monitoring of ML models.
- Collaborate with data scientists and software engineers to integrate vector search capabilities into production systems.
- Monitor and enhance the performance, reliability, and scalability of vector search services.
- Stay updated with advancements in vector databases and similarity search methodologies.
What we're looking for :
Preferred Qualifications :
Experience with model interpretability and explainability tools.
What you can expect from us :
This is a hybrid position based in San Jose, California.
The estimated annual base salary for this position is between $186,000-$220,000 .
At Coactive, cash salary is only one part of our total compensation package. Other benefits for this position include, but are not limited to :
Further, you can expect a supportive work environment from us. We build products, but we develop people.
Join us in revolutionizing how businesses harness the power of machine learning to unlock the potential of unstructured data. If you're passionate about driving innovation and delivering unparalleled customer experiences, we'd love to have you on board.
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Salary : $186,000 - $220,000
