Senior Machine Learning Engineer
2 days ago
We are seeking a seasoned Senior Machine Learning Engineer to design, build, and optimize AI-powered systems.
The ideal candidate will have expertise in machine learning engineering and infrastructure, with a focus on building scalable AI solutions.
Proven experience in developing and deploying AI models in a production environment is crucial. This remote position requires exceptional communication skills and the ability to independently tackle complex challenges with innovative solutions.Key Responsibilities:
Design and optimize AI-powered systems to support business objectives.
Collaborate closely with cross-functional teams to translate business requirements into robust engineering solutions.
Own the end-to-end development and operation of high-performance AI systems for a diverse range of applications, including natural language processing and computer vision.
Provide technical leadership and mentorship to foster a high-performing engineering team.Requirements:
Proven track record in designing and implementing scalable AI solutions.
Hands-on experience with leading deep learning frameworks such as TensorFlow, Keras, or Spark MLlib.
Solid foundation in machine learning algorithms, natural language processing, and statistical modeling.
Strong grasp of fundamental computer science concepts including algorithms, distributed systems, data structures, and database management.
Ability to tackle complex challenges and devise effective solutions. Use critical thinking to approach problems from various angles and propose innovative solutions.
Worked effectively in a remote setting, maintaining strong written and verbal communication skills. Collaborate with team members and stakeholders, ensuring clear understanding of technical requirements and project goals.
Proven experience in Apache Hadoop ecosystem (Oozie, Pig, Hive, Map Reduce).
Expertise in public cloud services, particularly in GCP and Vertex AI.
Must have:
Proven expertise in applying model optimization techniques (distillation, quantization, hardware acceleration) to production environments.
Proficiency and recent experience in Java is required (Must have)
In-depth understanding of AI architectures, parameter scaling, and deployment trade-offs.
Technical degree:
Bachelor's degree in Computer Science with a minimum of 8 years of relevant industry experience, or
A Master's degree in Computer Science with at least 6 years of relevant industry experience.
A specialization in Machine Learning is preferred.
#LI-VM1 #Rackspace #LI-Rackspace #LI-USA #LI-Remote
About Rackspace Technology
We are the multicloud solutions experts.
We combine our expertise with the world's leading technologies - across applications, data and security - to deliver end-to-end solutions.
We have a proven record of advising customers based on their business challenges, designing solutions that scale, building and managing those solutions, and optimizing returns into the future.
Named a best place to work, year after year according to Fortune, Forbes and Glassdoor, we attract and develop world-class talent.
Join us on our mission to embrace technology, empower customers and deliver the future.More on Rackspace Technology
Though we're all different, Rackers thrive through our connection to a central goal: to be a valued member of a winning team on an inspiring mission.
And we embrace the notion that unique perspectives fuel innovation and enable us to best serve our customers and communities around the globe.
We welcome you to apply today and want you to know that we are committed to offering equal employment opportunity without regard to age, color, disability, gender reassignment or identity or expression, genetic information, marital or civil partner status, pregnancy or maternity status, military or veteran status, nationality, ethnic or national origin, race, religion or belief, sexual orientation, or any legally protected characteristic.
If you have a disability or special need that requires accommodation, please let us know.-
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