Software Engineer - Machine Learning Ops & Data Science

Key Skills

AWS, Bash scripting, Data science techniques, Databricks, Infrastructure as code, IT, Jenkins, Kubernetes-K8s, Machine learning techniques, MLOps tools, Operations, Project management, Python Programming, R Programming, Shell Scripting language, SPARK Programming, SQL

Job Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, diversity and inclusion, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

Duties & Responsibilities

• Consulting and Analysis: Meet regularly with defined clients and stakeholders to understand and analyze their processes and needs. Determine requirements to present possible solutions or improvements.
• Client Support: Perform baseline system support, administrative and maintenance duties for assigned systems. Troubleshoot application and system problems.
• Project/Solution Activities: Support goals by participating on project teams. Deliver on assigned tasks and action items.
• Software Development Activities: Leverage knowledge of applications / systems and underlying architecture. Maintains awareness of IT process best practices, technology trends and emerging technologies.
• Documentation: Determine documentation requirements and produce documentation as required in support of baseline and project activities.

Requirements

• Education & Experience: Associate degree in Computer Science, MIS or a related field with a minimum of 7 years experience; or Bachelor degree in Computer Science, or MIS, with a minimum of 5 years of experience; or a Master degree in Computer Science, MIS, with a minimum 3 years of experience; or relevant Business or IT experience of minimum of 7 years. Minimum of 4 years of programming preferred.
• Advanced level of technical understanding and demonstrated knowledge for their area of responsibility. 
• Demonstrated project management and technical design skills
• Solid understanding of software development life cycle methodology
• Python
• Cloud environment experience
• Scripting: Python SQL, Shell Scripting (Bash or other), IAC (Infrastructure as Code)

Desired Skills, Experience and Abilities

• ML Ops – Machine Learning Operations
• Experience working with Data Scientists
• AWS Cloud environment
• R
• Spark
• Kubernetes
• Jenkins or code pipeline experience
• Databricks