ML Ops Engineer

Company : Donato Technologies

Job Type : Full Time

Sunnyvale, Ca 94085

Number of Applicants

000+

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Job Description - ML Ops Engineer

Greetings from Donato Technologies Inc.

We have an immediate opening with my client. If you are looking for a new project, please send me a copy of your updated resume

ML Ops Engineer

Location: Austin, TX OR Sunnyvale, CA

Look for candidate with in the time zone

Job Summary –

For this role, we are looking for ML Ops Engineer with Kubernetes and Python.

Experience Required:

6+ years of experience in ML Ops with strong knowledge in Kubernetes, Python, MongoDB and AWS

Technical skills:

Python, Kubernetes, Mongo DB, Microservices, AWS

SOLR

ML operations, CI/CD pipelines, LLM

Good understanding of Apache SOLR

Proficient with Linux administration.

Knowledge of ML models and LLM.

Ability to understand tools used by data scientists and experience with software development and test automation

Ability to design and implement cloud solutions and ability to build MLOps pipelines on cloud solutions (AWS, MS Azure or GCP)

Qualifications:

Experience working with cloud computing and database systems

Experience building custom integrations between cloud-based systems using APIs

Experience developing and maintaining ML systems built with open-source tools

Experience with MLOps Frameworks like Kube Flow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes

Experience developing containers and Kubernetes in cloud computing environments

Familiarity with one or more data-oriented workflow orchestration frameworks (Kubeflow, Airflow, Argo, etc.)

Ability to translate business needs to technical requirements

Strong understanding of software testing, benchmarking, and continuous integration

Exposure to machine learning methodology and best practices

Good communication skills and ability to work in a team

Behavioral Skills:

Excellent Communication skills and collaboration skills

Ability to propose and implement improvements in the system

Ability to work with cross-functional stakeholders

Jennifer Sampson

Technical Recruiter

.......................................................

DONATO TECHNOLOGIES, INC

12100 Ford Rd, #306, Dallas, TX 75234

Direct : (469)-342-0401

Email: [email protected]

Web: www.donatotech.net

DONATO TECHNOLOGIES WAS FOUNDED IN 2012, WE SPECIALIZE IN STAFFING, CONSULTING, SOFTWARE DEVELOPMENT, AND TRAINING ALONG WITH IT SERVICES.

INFORMATION TECHNOLOGY REMAINS OUR STRENGTH!

We partner with clients, appreciate, and understand their business needs and bring them the most innovative and relevant technology solutions available.

Our experience has made us who we are today. We have partnered with a lot of clients and built technology that powers their business.

Careers

At Donato Technologies, Inc., we unite top-tier talent within a creative, collaborative, and supportive atmosphere, transforming daunting challenges into enjoyable and rewarding pursuits.

As a valued member of our team, you’ll experience unparalleled opportunities to engage with both clients and cutting-edge technology.

We serve as the ultimate destination for talented individuals with aspirations and ambitions, addressing companies’ growth needs comprehensively. We hold our clients, consultants, and talent in the highest regard.

If you’re prepared to embark on a career in the technology fast lane, Donato is your ideal destination.

Original job ML Ops Engineer posted on GrabJobs ©. To flag any issues with this job please use the Report Job button on GrabJobs.

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ML Ops Engineer

Job Description - ML Ops Engineer

DONATO TECHNOLOGIES WAS FOUNDED IN 2012, WE SPECIALIZE IN STAFFING, CONSULTING, SOFTWARE DEVELOPMENT, AND TRAINING ALONG WITH IT SERVICES.

Careers

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