MLOps engineer

Accenture; United States; Remoto; USD 22.000 - 45.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary

Flexible vacation

Health & travel insurance

Relocation

Work from home

Flexible hours

Training opportunities

Certifications

Career advancement

Inclusive culture

Descrizione del lavoro

Accenture is seeking a skilled MLOps Engineer to design and implement cloud-based ML infrastructure. You will build end-to-end pipelines, deploy models to AWS, Azure, or GCP, and ensure scalable operations across teams of data scientists and engineers.

Join a global, inclusive culture with training opportunities and certifications. Expect collaboration across Fortune 500 clients, modern tooling, and a pathway to advance your career.

Competenze

• Ability to design and implement cloud solutions and MLOps pipelines on cloud platforms (AWS, Azure, or GCP).
• Experience with MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow; Docker and Kubernetes/OpenShift.
• Proficient in Python and Bash; knowledge of ML libraries (scikit-learn, Keras, PyTorch, TensorFlow).
• Understanding tools used by data scientists and software development/test automation.
• Fluent in English with strong communication and teamwork skills.

Mansioni

• Design and implement cloud solutions, build MLOps on cloud ( AWS, Azure, or GCP ).
• Build CI/CD pipelines orchestration using GitLab CI, GitHub Actions, CircleCI, Airflow or similar tools.
• Review data science models, refactor code, containerize, deploy, version, and monitor quality.
• Test data science models and automation tests.
• Collaborate with a team of data scientists, data engineers, and architects; document processes.

Conoscenze

Cloud design

MLOps pipelines

Python

Linux

English

Formazione

Bachelor’s degree in Computer Science or Software Engineering

Strumenti

Kubeflow

MLFlow

Airflow

Docker

Kubernetes

OpenShift

Descrizione del lavoro

MLOps is a set of management techniques for the deep learning or production ML lifecycle, formed from machine learning or ML and operations or Ops. These include ML and DevOps methods, as well as data engineering processes for deploying and maintaining machine learning models in production.

Benefits

• Competitive salary depending on Level

• Senior Analyst – 1,700 - 3,400 EUR

• Analyst – 1,400 - 2,800 EUR

• Flexible vacation + health & travel insurance + relocation

• Work from home, flexible working hours

• Work with Fortune 500 companies from different industries all over the world

• Skills development and training opportunities, company-paid certifications

• Opportunities to advance career

• An open-minded and inclusive company culture

Key responsibilities

• Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)

• Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools

• Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality

• Data science models testing, validation and tests automation

• Communicate with a team of data scientists, data engineers and architect, document the processes

RequiredQualifications:

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

• Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow etc., experience with Docker and Kubernetes, OpenShift

• Programming languages like Python, Go, Ruby or Bash, good understanding of Linux, knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.

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

• Fluent in English, good communication skills and ability to work in a team

Desired Qualifications:

• Bachelor’s degree in Computer Science or Software Engineering

• Experience in using AWS, MS Azure or GCP services.

• Good to have any associate Cloud Certification

#LI-EU

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences.All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law.Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.