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MLOps Engineer

multiple locations +view all Job No. r00234144 Full-time - Hybrid
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Job Description

About us 

Accenture Industry X, part of Accenture, helps businesses thrive in the digital era by combining data and digital capabilities. Join us to experience how we deliver 360 value and collaborate with exceptional people, cutting-edge technology, and leading companies across various industries, making a significant impact worldwide. 

 

How Will You Make an Impact?

Automation: Streamline repetitive tasks such as data preprocessing, model training, and deployment through automation.

Scalability: Ensure that machine learning models can scale effectively to handle large volumes of data and high traffic.

Reproducibility: Achieve consistent and reproducible results by tracking experiments, code, data, and model versions.

Monitoring: Continuously monitor model performance and data quality to promptly detect and address any issues.

Collaboration: Enhance collaboration between data scientists, ML engineers, and operations teams to ensure seamless workflows.

Qualifications

What Makes the Difference 

  • 1BI Platforms

  • Tableau: For creating interactive and shareable dashboards.
  • Power BI: For data visualization and business analytics.
  • QlikView Qlik Sense: For self-service data visualization and discovery.
  • Looker: For data exploration and business insights.
  • AWS - Quick sight


  • 2. ETL Tools

  • Talend: For data integration and ETL processes.
  • Informatica: For enterprise data integration.
  • Apache Nifi: For data flow automation and ETL.
  • Microsoft SSIS SQL Server Integration Services: For data migration and ETL.


  • 3. Data Warehousing

  • Amazon Redshift: For cloud-based data warehousing.
  • Google BigQuery: For large scale data analytics.
  • Snowflake For cloud data warehousing.
  • Microsoft Azure Synapse Analytics For big data analytics and data warehousing.

  • 4. Databases

  • MySQL For relational database management.
  • PostgreSQL For advanced relational database management.
  • SQL Server For enterprise database management.
  • Oracle Database For large scale database management.


  • 5. Data Visualization

  • D3.js :For custom data visualizations.
  • Matplotlib Seaborn Python: For data visualization in Python.
  • ggplot2: R For data visualization in R.


  • 6. Data Preparation

  • Alteryx: For data blending and advanced analytics.
  • Trifacta: For data wrangling and preparation.


  • 7. Cloud Platforms

  • AWS Amazon Web Services: For cloud based data storage and analytics e.g., AWS Glue, AWS QuickSight .
  • Microsoft Azure: For cloud services and analytics e.g., Azure Data Factory, Azure Analysis Services.
  • Google Cloud Platform: For cloud computing and data analytics e.g., Google Data Studio, Google Cloud Dataflow .


  • 8. Collaboration and Version Control

  • Git: For version control and collaboration.
  • JIRA: For project management and issue tracking.


  • 9. Advanced Analytics

  • Python For data analysis and machine learning.
  • R For statistical analysis and data visualization.
  • SAS For advanced analytics and statistical analysis.

Locations

Cluj-Napoca, Targu-Mures, Timisoara

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

 

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.

 

Accenture is committed to providing veteran employment opportunities to our service men and women.

 

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

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