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Mlops Engineer Jobs

Compilers/Mlops Internship Jobs
By Anarchy (YC W23) At New York, NY, United States
Experience working in a team setting.
Contributions to well-used open-source projects.
Flexibility: The job scope will change frequently as the company scales.
We are located between NYC and Zurich Switzerland.
Cloud Engineer (Devops / Mlops) - Part-Time (Usa)
By Qubrid At United States
Independent worker, organized with excellent time management skills
AI/ML experience will be preferred including programming skills (CUDA, Python, TensorFlow, Keras etc), hardware experience valuable as well
Develop software and hardware requirements
Manage overall cloud development plan
Expertise in automation tools such as Terraform, Jenkins, Docker, Kubernetes, Kubeflow, MLFlow etc (MLOPS experience)
Excellent verbal and written communication skills
Python Software Deployment Engineer, Mlops
By Ford Motor Company At United States
3+ years’ experience in writing Python code or tools such as the development of custom deployment tools utilizing Python
Have a clear understanding of Cloud Computing by your experience with GCP, AWS, or Azure
Learn how to define/manage software craftsmanship, code coverage, smells, and other best practices for the team.
Possess Agile Software Engineering Practices such as TDD, Pair Programming, etc.
Good understanding of Python data structures, algorithms, design patterns, code optimization/performance tuning
Develop and maintain CI/CD pipelines using Jenkins or any other related tool
Senior Front-End Engineer, Llm Mlops Platform
By NVIDIA At Santa Clara, CA, United States
Collaborate with multiple AI teams in various fields to understand their needs and translate them into product requirements.
Bachelors in Computer Science or proven track record of building web-based applications at scale or equivalent experience.
Excellent written and oral communication skills for creating and improving documentation, engaging stakeholders, and building team consensus.
Experience delivering software using agile methodology and CI/CD practices.
Develop web-based UIs that improve developer efficiency and productivity.
Rapidly develop and iterate on software in response to user feedback.
Mlops Engineer Jobs
By L4B Software At Santa Clara, CA, United States
Proven experience in MLOps, Data Engineering, or a similar role with a demonstrated capacity to work autonomously and take initiative.
Deep understanding of machine learning algorithms and data science principles. Experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
Strong problem-solving skills with a track record of addressing and resolving complex technical issues.
Excellent communication skills with the ability to explain complex technical concepts clearly.
Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent work experience.
Proficiency in developing and maintaining CI/CD pipelines, particularly those involving machine learning workflows.

Are you looking for an exciting opportunity to work as a MLOps Engineer? Join our team and help us build and maintain our MLOps infrastructure and pipelines. We are looking for a creative problem solver who is passionate about automation and has a strong background in DevOps and MLOps. If you have the skills and experience to take on this challenge, we want to hear from you!

Overview:

Mlops Engineers are responsible for the development, deployment, and maintenance of machine learning (ML) and artificial intelligence (AI) systems. They are responsible for the design, implementation, and optimization of ML/AI systems, as well as the development of ML/AI applications.

Detailed Job Description:

Mlops Engineers are responsible for the design, implementation, and optimization of ML/AI systems, as well as the development of ML/AI applications. They must have a deep understanding of ML/AI algorithms and techniques, as well as the ability to develop and maintain ML/AI systems. They must also be able to develop and maintain ML/AI applications, as well as develop and maintain ML/AI pipelines.

What is Mlops Engineer Job Skills Required?

• Knowledge of ML/AI algorithms and techniques
• Knowledge of ML/AI frameworks and libraries
• Knowledge of ML/AI pipelines
• Knowledge of software engineering principles
• Knowledge of cloud computing
• Knowledge of DevOps
• Knowledge of data engineering
• Knowledge of data science
• Knowledge of software development
• Knowledge of scripting languages
• Knowledge of databases
• Knowledge of version control systems
• Knowledge of system architecture
• Knowledge of data visualization
• Knowledge of data analysis
• Ability to troubleshoot and debug ML/AI systems
• Ability to develop and maintain ML/AI applications
• Ability to develop and maintain ML/AI pipelines
• Ability to collaborate with other engineers
• Ability to communicate effectively

What is Mlops Engineer Job Qualifications?

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Experience with ML/AI algorithms and techniques
• Experience with ML/AI frameworks and libraries
• Experience with ML/AI pipelines
• Experience with software engineering principles
• Experience with cloud computing
• Experience with DevOps
• Experience with data engineering
• Experience with data science
• Experience with software development
• Experience with scripting languages
• Experience with databases
• Experience with version control systems
• Experience with system architecture
• Experience with data visualization
• Experience with data analysis
• Ability to troubleshoot and debug ML/AI systems
• Ability to develop and maintain ML/AI applications
• Ability to develop and maintain ML/AI pipelines
• Ability to collaborate with other engineers
• Ability to communicate effectively

What is Mlops Engineer Job Knowledge?

Mlops Engineers must have a deep understanding of ML/AI