Role at a glance
- Salary
- Not Disclosed
- Location
- Ebene
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of experience in data engineering, ML Engineer or related roles.
- Education
- Degree holder – Information Technology, Software Engineering, Data Science or any other related courses
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Role Summary
The Machine Learning Engineer adapts and deploys existing machine learning models and integrates processing pipelines into Airflow and APIs. The role also prepares data, optimizes PySpark code for monthly alerts, and manages ML workflow dependencies, sequences, and stages.
What You'll Do
- Adapt and deploy existing machine learning 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.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
5+ years of experience in data engineering, ML Engineer or related roles; degree holder in Information Technology, Software Engineering, Data Science, or related courses; strong proficiency in PySpark and code optimization; knowledge of ML workflows, dependencies, sequencing, and Airflow pipelines; good understanding of PostgreSQL databases and MinIO object storage; familiarity with GitLab and Jupyter; fluent in French and English.
Required
- 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).
Preferred
- MinIO
- PostgreSQL
- Jupyter
- MLFlow
Original job description
Content provided by the employer
Original job description
Content provided by 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.
About the company
Accenture
Large Enterprise
Accenture is a global professional services company that specializes in providing consulting, technology, and outsourcing services. With a diverse range of industries served, including financial services, healthcare, and telecommunications, Accenture leverages advanced technologies and data analytics to help organizations improve their performance and drive innovation. Committed to sustainable progress, the company emphasizes its dedication to inclusivity, digital transformation, and building a more sustainable future for its clients and communities. With a presence in over 120 countries, Accenture is known for its expertise in integrating cutting-edge solutions that address complex business challenges.