Machine Learning Engineer
At a glance
Mid-level Machine Learning Engineering role at Accenture. Ebene · full-time.
Pay not stated Machine Learning Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Adapt existing machine learning models for deployment in the target environment
- Connect processing pipelines to Airflow and the Investigation Center interface through APIs
- Prepare data from MinIO and PostgreSQL, then optimize PySpark code for monthly alerts
- Control dependencies, execution order and stages across machine learning workflows
What you bring
- At least five years in data engineering, machine learning engineering or a related role
- A degree in information technology, software engineering, data science or a related subject
- Strong PySpark skills, including improving code performance, plus knowledge of Airflow pipelines and ML workflow sequencing
- Working knowledge of PostgreSQL, MinIO, GitLab and Jupyter
- Fluency in both French and English
Who this fits
This mid-level role suits an engineer with hands-on PySpark optimization and machine learning workflow experience. You’ll work in Ebene, Mauritius, and need to communicate fluently in French and English.
From the employer
Join Accenture and help transform leading organizations and communities around the world. The sheer scale of our capabilities and client engagements and the way we collaborate, operate and deliver value provides an unparalleled opportunity to grow and advance.
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.