MLOps Analyst/Sr. MLOps Analyst

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has footprint across 26 countries and territories. The India Data & Analytics Global Capability Centre (D&A GCC) is an integral part of ACT’s Global Data & Analytics Team, and the Data Scientist/Sr. Data Scientist will be a key player on this team that will help grow analytics globally at ACT.

About the role

The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units. The incumbent will be responsible for implementing Azure data services to deliver scalable and sustainable solutions, build model deployment and monitor pipelines to meet business needs.

Responsibilities

Engineering

1. Build MLOps pipelines to support development, experimentation, continuous integration, continuous delivery, verification/validation, and

monitoring of ML models

2. Experience of working on CICD tools

3. Automating pipelines using understanding of Apache Spark and ETL tools like Informatica PowerCenter, Informatica BDM or DEI, Stream

Sets and Apache Airflow

4. Design, build as well as optimize applications containerization and orchestration with Docker and Kubernetes and cloud platforms like AWS or Azure

5. Designing ETL technical architecture, automated data quality testing, QA and documentation, data warehousing and data modelling capabilities

Operational Excellence

1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project

2. Helping to define common coding standards and model monitoring performance best practices

3. Automate applications and infrastructure deployments.

4. Continuously evaluate the latest packages and frameworks in the ML ecosystem

5. Build automated model deployment data engineering pipelines from plain Python/PySpark models/codes

Stakeholder Engagement

Collaborate with Data Scientists, Data Engineers, cloud platform and application engineers to create and implement cloud policies and governance for ML model life cycle.

Qualifications and experience

Education

• Bachelor’s degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)


• Master’s degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)

Relevant Experience

• 2 – 5 years for MLOps Analyst


• 5 – 7 years for Sr. MLOps Analyst


• Relevant working experience in MLOps


• Experience with Azure DevOps and CI/CD practices

Behavioral Skills

• Delivery Excellence


• Business disposition


• Social intelligence


• Innovation and agility

Knowledge

• Knowledge of core computer science concepts such as common data structures and algorithms, OOPs


• Programming languages (R, Python, PySpark, etc.)


• Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)


• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database

management systems and Data Engineering tools

• Exposure to ETL tools and version controlling • Confluence and Jira

• Understanding of machine-learning, information retrieval or recommendation systems


• Knowledge of programming languages in data engineering such as Python or PySpark, SQL, Java, and Scala

To Apply - Click Here to Submit CV/Resume

Or send email to: careersIndia@circlekeurope.com