**Job Title:** MLOps Engineer

**Company:** Astellas Pharma Inc.

**Location:** [Specify Location or Remote]

**About Us:**
Astellas Pharma Inc. is a global pharmaceutical company, engaged in the discovery, development, and delivery of innovative medical solutions with a commitment to improve the health of people worldwide.

**Purpose:**
As an MLOps Engineer, you will develop and maintain the infrastructure and tools that enable our machine learning initiatives. You will collaborate closely with engineers, data scientists, and business stakeholders to solve challenges and implement effective solutions. Your focus will be on enhancing productivity across the engineering team, mentoring team members, and advocating for modern development practices.

**Key Responsibilities:**
- **Design and Implement Infrastructure:** Develop infrastructure solutions using Infrastructure as Code (IaC) practices.
- **Develop and Manage CI/CD Pipelines:** Create efficient CI/CD pipelines to streamline development and deployment processes.
- **Automation and Scripting:** Maintain and optimize automation scripts for machine learning systems.
- **Cross-functional Collaboration:** Collaborate with application development, operations, and security teams to resolve technical challenges.
- **Apply Best Practices:** Incorporate software engineering best practices into machine learning workflows.
- **Model Deployment:** Facilitate development, deployment, and scaling of machine learning models in production.
- **Design Scalable Data Pipelines:** Build and maintain scalable data pipelines for enterprise-level deployments.
- **Technical Problem-Solving:** Analyze and address technical challenges in machine learning operations.

**Qualifications:**

**Required:**
- **Educational Background:** Bachelor's degree in Computer Science, Engineering, or a related field.
- **Professional Experience:** 4+ years in software development and operations.
- **Cloud Experience:** Proven ability to build secure, scalable services in cloud environments.
- **Software Development Lifecycle:** Strong understanding from development to production using solid engineering principles.
- **Programming Skills:** Proficiency in Python and experience with other languages.
- **Analytical Skills:** Strong analytical and problem-solving abilities.
- **Machine Learning Knowledge:** Understanding of generative AI and machine learning concepts.
- **Tool Proficiency:** Hands-on experience with Terraform, Docker, Kubernetes, and CI/CD platforms.
- **Infrastructure as Code:** Experience with IaC and configuration management tools.
- **Communication Skills:** Excellent written and verbal English skills.

**Preferred:**
- **Advanced Degree:** Master's degree or Ph.D. in a related field.
- **Professional Experience:** 6+ years in Cloud and Machine Learning or Software Deployment.
- **Scalable Solutions:** Experience in deploying solutions to cloud services.
- **Additional Programming Languages:** Familiarity with Java, C++, and SQL.
- **Workflow Orchestration:** Experience with frameworks like Kubeflow or Apache Airflow.
- **Machine Learning Methodologies:** Deep understanding of best practices.
- **Monitoring and Logging:** Experience with monitoring tools for machine learning systems.
- **Multi-cloud Deployments:** Experience with hybrid cloud deployments is a plus.

**Working Environment:**
We are proud to offer a hybrid working solution that allows for a balance between office and remote work.

**Benefits:**
- Medical, Dental, and Vision Insurance
- Generous Paid Time Off, including vacation and sick time
- 401(k) match and annual company contribution
- Company-paid life insurance
- Annual Corporate Bonus and Quarterly Sales Incentive
- Long-Term Incentive Plan for eligible positions
- Referral bonus program

Astellas Pharma Canada welcomes applications from people with disabilities. Accommodations are available upon request during the hiring process. Full vaccination against COVID-19 is required as a condition of employment, with reasonable accommodations granted as per human rights legislation.

**Contact Information:**
Please submit your application through our website. No telephone inquiries, in-person applications, or agencies please. Only candidates under consideration will be contacted.