- Company Name
- L'olivier Assurance | Admiral Group Plc
- Job Title
- IA Engineer
- Job Description
-
**Job Title**
MLOps Engineer
**Role Summary**
Design, automate, and maintain end‑to‑end pipelines that deploy and operationalize AI models (predictive and generative) on AWS. Drive the industrialization of data & analytics pipelines, ensuring scalability, performance, and cost efficiency for enterprise‑grade solutions.
**Expectations**
- 3–5 years of experience in data engineering with Big Data technologies (SQL, PySpark, Python).
- 3+ years of hands‑on work with AWS services (Glue, Athena, Redshift, DynamoDB).
- Proven ability to build CI/CD pipelines for ML workflows.
- Proficiency in Git, Jupyter notebooks, Docker, and Apache Airflow.
- Strong written and spoken English (C1 level).
**Key Responsibilities**
1. Prepare and automate ML model deployment pipelines (CI/CD).
2. Construct and maintain training, testing, and model‑update pipelines.
3. Design cloud architectures using AWS services, ensuring robust, scalable infrastructures.
4. Monitor and analyze production model performance and resource usage.
5. Optimize infrastructure costs and scalability (LLM endpoints, compute, storage).
6. Collaborate closely with data scientists to translate prototypes into production‑ready systems.
**Required Skills**
- SQL, PySpark, Python
- AWS Glue, Athena, Redshift, DynamoDB
- Git, Jupyter Notebook, Docker, Apache Airflow
- CI/CD, cloud architecture design, performance monitoring, cost optimisation
**Required Education & Certifications**
- Bachelor’s (or higher) degree in Computer Science, Engineering, Data Science, or a related field.
- Optional: AWS Certified Solutions Architect – Associate, AWS Certified Data Analytics – Specialty, or equivalent data‑engineering certifications.
**Nice to Have**
- Experience with AWS CDK, SageMaker, Lambda, Lake Formation, Kinesis.
- BI tools (Tableau preferred).
- Generative AI expertise, particularly Amazon Bedrock.