Machine Learning Operations Analyst

We Are Teva

We’re Teva, a leading innovative biopharmaceutical company, enabled by a world-class generics business. Whether it’s innovating in the fields of neuroscience and immunology or delivering high-quality medicine worldwide, we’re dedicated to addressing patients’ needs now and in the future. Here, you will be part of a high-performing, inclusive culture that values fresh thinking and collaboration. You'll have the room to grow, the flexibility to balance life with work, and the opportunity to better health worldwide, together.

Our Team, Your Impact

The ML Operations Analyst is responsible for maintaining the day-to-day operation of machine learning production pipelines. This role ensures data and model pipelines execute successfully, investigates production failures, resolves issues, maintains model documentation, and supports continuous improvement of model reliability.

The role serves as the first line of support for production analytics solutions and works closely with Data Scientists and Data Engineers.

How You’ll Spend Your Day

Production Monitoring & Support

•    Monitor daily, weekly, and monthly model execution schedules.

•    Monitor ETL and data pipelines supporting machine learning models.

•    Investigate and resolve production failures.

•    Troubleshoot data quality, integration, and system issues.

•    Restart and recover failed jobs and workflows.

•    Escalate complex issues when necessary.

Pipeline Maintenance

•    Maintain production model pipelines.

•    Validate data availability and completeness.

•    Ensure model inputs and outputs meet quality standards.

•    Support model refresh and retraining processes.

•    Maintain automated schedules and workflow orchestration tools.

Incident Management

•    Perform root cause analysis for production incidents.

•    Track and document recurring issues.

•    Implement corrective and preventive actions.

Documentation & Governance

•    Maintain model inventory and documentation.

•    Support model audit and governance requirements.

•    Ensure documentation remains current after production changes.

Continuous Improvement

•    Identify opportunities to automate manual support processes.

•    Improve monitoring, alerting, and operational efficiency.

•    Assist with deployment of new analytical models into production.

•    Support testing and validation activities

•    Support model performance tracing and monitoring

Your Skills and Experience

•    Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, Information Systems, or related field.

•    2+ years supporting analytics, data, or machine learning applications.

•    Experience supporting production systems.

•    Experience troubleshooting data pipelines and automation workflows.

•    Programming: Python, SQL, Git

•    Data & Analytics:

- ETL processes

- Data quality validation

- Model monitoring

•    Cloud / Platforms: Experience with one or more: Databricks, Azure, MLflow, Azure Data Factory

How We’ll Take Care of You

At Teva, better health starts from within, and that includes you. From day one, you’ll be supported with benefits designed to help you thrive in and out of work. This includes generous annual leave, reward plans, flexible working schedules (dependent on role), access to tailored health support, and meaningful ways to give back to the community.  When it comes to your career, you’ll be encouraged to explore, evolve, and shape your path. Twist, our one-stop shop for career development platform, gives you access to a wide range of possibilities, from learning programs and short-term projects to opportunities for internal growth. Here, you’ll be part of a culture that empowers you to reach your goals and prioritize your wellbeing every step of the way.

Already Working @Teva?

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Teva’s Equal Employment Opportunity Commitment

Teva Pharmaceuticals is committed to equal opportunity in employment. It is Teva's global policy that equal employment opportunity be provided without regard to age, race, creed, color, religion, sex, disability, pregnancy, medical condition, sexual orientation, gender identity or expression, ancestry, veteran status, national or ethnic origin or any other legally recognized status entitled to protection under applicable laws. We are committed to a diverse and inclusive workplace for all. If you are contacted for a job opportunity, please advise us of any accommodations needed to support you throughout the recruitment and selection process. All accommodation information provided will be treated as confidential and used only for the purpose of providing an accessible candidate experience.