Our client has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions. This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

Location:

Key Responsibilities:

• Responsible for overall technical architecture and design of One AI with the help of the team.
• Work in close collaboration with relevant stakeholders to contextualize the architecture design.
• Design end-to-end solutions to meet business needs in an operational and financially efficient manner.
• Be a thought partner of the Product Owner in story creation and acceptance criteria, and communicate trade-offs effectively.
• Share responsibility with Product Owner for building reusable and scalable components.
• Promote the right usage of company standards, IT industry practices, and emerging standards.
• Constantly look for better ways of solving technical problems and designing the solution, not afraid to challenge the status quo.
• Be hands on and engage in coding to help the team to develop their solution and solve all surfacing problems.
• Identify and removes technical impediments.
• Mentor and coach technical team, specifically with code reviews.
• Guide team on technology strategy related to coding practices, continuous integration and automated deployment.
• Provide the team a roadmap for implementing software engineering practices for higher code quality.
• Verify the consideration of non-functional requirements as part of the product backlog.
• Orchestrate the delivery of interconnected technology components through the solution life cycle.
• Contribute to standards life cycle maintenance.

Key Requirements:

• 5+ Years of experience with Full stack developer, Solution Architect with Deep AI/ML knowledge.
• Degree in Computer Science, Statistics, or relevant field.
• Familiarity with Service-oriented architecture and APIs.
• Strong experience in Coding (Python, Spark, REST, Golang, Web applications).
• Software best practices (design patterns, dev standards).
• Experience using Cloud Containerization technologies (Docker, Kubernetes, AWS ECR/EKS).
• Familiarity with AWS data and object stores (e.g. Snowflake, AWS DocumentDB, S3).
• Working knowledge of Databricks.
• Familiarity with Github, SonarQube, Checkmarx, Artifactory, AWS Cloudwatch, Authorization (OAuth, Keycloak), & Terraform.
• Experience with JIRA & Confluence is a plus.
• AWS Solution Architect Certification is a plus.

Apply at diana.kader@markitech.ca