MLOps Engineer

Posted Yesterday
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Vilnius, Vilniaus miesto savivaldybė, Vilniaus apskritis, LTU
In-Office
1K-5K Annually
Entry level
Information Technology
The Role
Design and implement cloud-based MLOps solutions and CI/CD pipelines. Deploy, containerize, version, test, validate, optimize, and monitor machine learning models in production. Collaborate with data scientists, data engineers, and architects, automate testing, and document processes. The role requires cloud, MLOps framework, containerization, programming, Linux, and machine learning framework expertise.
Summary Generated by Built In

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:


Compensation at Accenture varies depending on a wide array of factors including but not limited to role, level, location, effort, responsibility, skillset, and level of experience. The range of base pay for this role is:

  • Consultant - 3,000 - 5,000 EUR gross per month
  • Senior Analyst – 1,700 - 4,000 EUR gross per month
  • Analyst – 1,400 - 2,800 EUR gross per month
  • 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

​Required Qualifications:

  • 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

​

Due to project requirements, candidates must currently hold EU work permit and be available to start within 1 to 3 months of receiving an offer.

#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.

Skills Required

  • Ability to design and implement cloud solutions and MLOps pipelines using AWS, Azure, or GCP
  • Experience with MLOps frameworks such as Kubeflow, MLflow, DataRobot, or Airflow
  • Experience with Docker, Kubernetes, and OpenShift
  • Programming experience with Python, Go, Ruby, or Bash
  • Good understanding of Linux
  • Knowledge of machine learning frameworks such as scikit-learn, Keras, PyTorch, or TensorFlow
  • Understanding of data science tools and experience with software development and test automation
  • Fluent English and strong communication and teamwork skills
  • Bachelor's degree in Computer Science or Software Engineering
  • Experience using AWS, Azure, or GCP services
  • Associate-level cloud certification
  • Current EU work permit
  • Availability to start within 1 to 3 months of receiving an offer

Accenture Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.

  • Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
  • Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
  • Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.

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The Company
HQ: Dublin
456,553 Employees
Year Founded: 1989

What We Do

Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.

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