Machine Learning Engineer

Reposted Yesterday
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Ebene, Plaine Wilhems, MUS
In-Office
Senior level
Information Technology
The Role
Deploy and adapt existing ML models, integrate processing pipelines into Airflow and APIs, transform data from MinIO and PostgreSQL, optimize PySpark for monthly alerts, and manage ML workflow dependencies, sequencing, stages, and deployments.
Summary Generated by Built In

Key Responsibilities:

  • Adapt and deploy existing machine learning (ML) models.
  • Integrate processing pipelines into Airflow and through APIs (Investigation Center interface).
  • Prepare and transform data stored in MinIO and PostgreSQL.
  • Optimize PySpark code for generating monthly alerts.
  • Manage dependencies, sequences, and stages within ML workflows.

Technical Environment:

  • Technologies: Airflow, GitLab, PySpark
  • Nice-to-have Technologies: MinIO, PostgreSQL, Jupyter, MLFlow

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for continuous learning and professional growth.
  • A collaborative and inclusive work environment.
  • Exposure to cutting-edge technologies and innovative projects.
  • Supportive leadership and career development programs.

Required Skills and Qualifications:

  • 5+ years of experience in data engineering, ML Engineer or related roles.
  • Degree holder – Information Technology, Software Engineering, Data Science or any other related courses
  • Strong proficiency in PySpark and code optimization.
  • Knowledge of ML workflows, including the ability to manage dependencies and sequencing, as well as Airflow pipelines.
  • Good understanding of PostgreSQL databases and MinIO object storage.
  • Familiarity with GitLab and Jupyter.
  • Fluent in French and English (for international collaboration and communication).

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, military veteran status, sexual orientation, gender identity or expression, genetic information, 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

  • 5+ years of experience in data engineering, ML engineering, or related roles
  • Degree in Information Technology, Software Engineering, Data Science or related field
  • Strong proficiency in PySpark and code optimization
  • Experience with Airflow pipelines and managing ML workflow dependencies and sequencing
  • Good understanding of PostgreSQL databases and MinIO object storage
  • Familiarity with GitLab
  • Familiarity with Jupyter
  • Fluency in French and English
  • Experience with MLFlow

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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