Overview
machine learning ops engineer - work from home
mxn 1,117,000 - 1,677,000
responsibilities
* architect and develop end-to-end machine learning solutions.
* manage and automate the machine learning lifecycle.
* collaborate with data engineers and data scientists to create highly scalable solutions.
* work on cloud solutions, evaluating the performance and cost of potential architectures.
* understand the software development life cycle to collaborate and integrate solutions with other technical areas.
* interact with other teams to understand business challenges and propose solutions.
* communicate and teach on how to use the developments.
ideal candidate
* bachelor's degree in computer science, engineering, or a related field.
* 5+ years of experience implementing and deploying machine learning solutions.
* 5+ years of advanced python programming experience.
* 3+ years of experience working with sql and spark.
* 3+ years of experience working in cloud environments (aws or gcp).
* knowledge and hands-on experience with containerization tools (e.g., docker) and orchestration tools (e.g., kubernetes).
* experience with version control systems, preferably git.
* experience with workflow orchestration tools like airflow.
* knowledge of data architectures and systems integration.
* ability to troubleshoot and solve complex software system issues.
* experience automating machine learning lifecycles and managing end-to-end ml solutions.
* experience with scripting in bash or similar shell environments.
* familiarity with fastapi or similar web frameworks for serving ml models.
* experience with aws sagemaker studio and infrastructure-as-code tools such as cloudformation.
* understanding of software development life cycle (sdlc) and ability to integrate ml solutions with other technical teams.
* strong communication skills with the ability to teach and explain technical solutions to different stakeholders.
* advanced english level is required for this role as you will work with us clients. Effective communication in english is essential to deliver the best solutions to our clients and expand your horizons.
what to expect from our hiring process
1. Let’s chat about your experience!
2. Impress our recruiters, and you’ll move on to a technical interview with our top developers.
3. Nail that, and you’ll meet our client - your final step to joining our amazing team!
at nearsure, we’re dedicated to solving complex business challenges through cutting-edge technology and we believe in the power of tailored solutions. Whether you are passionate about transforming businesses with generative ai, building innovative software products, or implementing comprehensive enterprise platform solutions, we invite you to be part of our dynamic team!
we would love to hear from you if you are eager to make an impact and join a collaborative team that values creativity and expertise.
let’s work together to shape the future of technology!
by applying to this position, you authorize nearsure to collect, store, transfer, and process your personal data in accordance with our privacy policy. For more information, please review our privacy policy. (https://www.nearsure.com/privacy-policy)
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