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128 AstraZeneca Jobs
Lead Consultant - AI Platform Engineer
AstraZeneca
posted 2mon ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Provide the vital infrastructure and platform to support the deployment and monitoring of ML solutions in production Optimizing solutions for performance and scalability.
- Collaborate closely with data science teams in developing cutting edge data science, AI/ML environments and workflows on AWS.
- Liaise with RD data scientists to understand their challenges and work with them to help productionise ML pipelines, models, and algorithms for innovative science.
- Take responsibility for all aspects of software engineering, from design to implementation, QA and maintenance.
- Lead technology processes from concept development to completion of project deliverables.
- Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI.
- Team recruitment, training provision and coaching.
Essential Skills/Experience
- Significant experience with AWS cloud environments is essential. Knowledge of SageMaker, Athena, S3, EC2, RDS, Glue, Lambda, Step functions, EKS, and ECS is also essential. Certification in appropriate areas will be viewed favourably.
- Modern DevOps mindset, using best-of-breed DevOps toolchains, such as Docker and Git.
- Experience with infrastructure as code technology such as Ansible, Terraform and Cloud Formation.
- Strong software coding skills, with proficiency in Python, however exceptional ability in any language, will be recognized.
- Experience managing an enterprise platform and service, handling new customer demand and feature requests.
- Experience with containers and microservice architectures e.g., Kubernetes, Docker and serverless approaches.
- Experience with Continuous Integration and building continuous delivery pipelines, such as CodePipeline, CodeBuild, and Code Deploy.
- GxP experience.
- Excellent communication, analytical and problem-solving skills.
Desirable Skills/Experience
- Experience building large scale data processing pipelines. e.g., Hadoop/Spark and SQL.
- Use of Data Science modelling tools e.g., R, Python and Data Science notebooks (e.g., Jupyter).
- Multi cloud experience (AWS/Azure/GCP).
- Demonstrable knowledge of building MLOPs environments to a production standard.
- Experience on mentoring, coaching and supporting less experienced colleagues and clients.
- Experience with SAFe agile principles and practices.
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Platform Engineer roles with real interview advice
Top AstraZeneca Platform Engineer Interview Questions
Q1. Workday experience in creating the calculated fields
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What people at AstraZeneca are saying
Platform Engineer salary at AstraZeneca
reported by
1
employee
with 1
years exp.
₹4
L/yr - ₹5.2
L/yr
63%
less
than the average Platform Engineer Salary in India
View more details
What AstraZeneca employees are saying about work life
based on 833 employees
Flexible timing
Monday to Friday
No travel
Day Shift
AstraZeneca Benefits
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