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Associate Director, Lead MLOps Engineer

Gilead Sciences, Inc.
Raleigh, NC
Start date
May 27, 2023

Job Details

Associate Director, Lead MLOps Engineer
United States - North Carolina - RaleighUnited States - California - Foster City

Gilead Sciences, Inc. is a research-based bio-pharmaceutical company that discovers, develops and commercializes innovative medicines in areas of unmet medical need. With each new discovery and investigational drug candidate, we seek to improve the care of patients living with life-threatening diseases around the world. Gilead’s therapeutic areas of focus include HIV/AIDS, liver diseases, cancer and inflammation, and serious respiratory and cardiovascular conditions.

Making an impact on a global scale
Inclusion is one of the company’s five core values. That’s because we know that we are stronger and more innovative at Gilead when we are informed by a diverse set of backgrounds, experiences and points of view. Gilead Sciences is a biopharmaceutical company that discovers, develops and commercializes innovative therapeutics in areas of unmet medical need. The company's mission is to advance the care of patients suffering from life-threatening diseases worldwide.

When you join Gilead, you join our mission to change the world by enabling people to live healthier and more fulfilling lives. Come join a mission-driven bio-pharmaceutical organization that values inclusion and diversity, has a strong portfolio of products, and is constantly #CreatingPossible

For Current Gilead Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.

At Gilead we believe every employee deserves a great leader. As a people leader now or in the future, we expect that you will model and create an environment of inclusion, be intentionally focused on the hiring, development, growth and retention of talent, and empower teams to align and achieve goals.
Job Description

About Gilead:

Gilead Sciences, Inc. is a biopharmaceutical company that has pursued and achieved breakthroughs in medicine for more than three decades, with the goal of creating a healthier world for all people. The company is committed to pursuing scientific invention to prevent and treat life-threatening diseases, including HIV, viral hepatitis and cancer. Gilead has operations in more than 35 countries worldwide, with headquarters in Foster City, California.

You will be part of a team that is helping millions of people live healthier, more fulfilling lives. We are a close community where every individual matters and everyone has a chance to enhance their skills through ongoing development. Inclusion is one of our core values, which means we are creating and fostering a work environment where our differences are valued, and everyone feels respected and empowered to bring their authentic selves to work. By joining Gilead, you will further our mission to discover, develop and deliver innovative therapeutics for people with life-threatening diseases.

The Gilead Business Services center in Raleigh's Research Triangle region will be home to some of the company's critical shared service teams in North America, including Information Technology, Global Financial Solutions, HR Operations and Procurement Services Desk. These functions provide the necessary support to ensure Gilead's business runs effectively and efficiently. The center will also be a catalyst for standardization of processes, digital transformation and technology optimization.

About the Role:

The Associate Director, Lead MLOps Engineer is responsible for leading a team of engineers to build and support cloud based MLOps (DevOps for machine learning) capabilities on AWS, that enables data science and IT teams to collaborate and increase the pace of model development and deployment via automation and monitoring at all steps of ML system construction, including integration, testing, releasing, deployment, infrastructure management and governance of machine learning models. With your technical expertise you will provide architectural oversight and drive the technical implementation of the MLOps framework across multiple business lines with seamless integration into the larger DevOps strategy of the enterprise, that aligns with SaaS driven as well as big data analytics power artificial intelligence-based business strategy. You will design, develop, test, deploy, maintain, and enhance continuous integration (CI), continuous delivery (CD), and continuous training (CT) pipelines for machine learning (ML) systems. You will manage project priorities, deadlines and deliverables.

  • Lead the implementation of MLOps maturity journey of the engineering organization towards the cloud data and AI platform.
  • Build MLOps framework and pipelines including including integration, testing, releasing, deployment, infrastructure management and governance of machine learning models.
  • Conduct and build operational systems as well as tests to ensure security, performance, and availability of ML models
  • Responsible for continuous integration (CI), continuous delivery (CD), and continuous training (CT) pipelines management.
  • Design and develop reusable components and operational strategies on AWS Cloud to support scalability, high availability, performance, monitoring, and observability.
  • Integrate the MLOps framework into the larger DevOps strategy of the enterprise, bridging the gap between traditional CI/CD and modern ML.
  • Identify, prototype, and generate new methods of business problem resolution through continuous evaluation of new technologies, design patterns and development models
  • Be the go-to person and subject matter expert for MLOps to provide support the data scientists, data engineers, and data architects
  • Collaborate with Global Engineering; Tools; IT; Architecture; Program; QA teams to influence and drive operational excellence best practices
  • Evangelizes internally and externally to help elevate Machine Learning practices, establishing oneself as a go-to resource on given technologies and technology-enabled capabilities
  • Partner and influence enterprise organizations in the evolution of shared DevSecOps technologies.

Basic Qualifications:
  • Associate's Degree and 12 years' experience OR Bachelor's Degree and 10 years' experience OR Master's Degree and 8 years' experience OR PhD and 2 years' experience.

Preferred Qualifications:
  • 8+ years of experience in operation of production systems, including troubleshooting, testing, and automation.
  • 8+ years of experience in Linux/Unix environments
  • 5+ years of experience as an established technical leader of DevOps or Build & Release teams, with proven track record of successfully delivering services
  • Experience with algorithms, data structures, complexity analysis, and software design.
  • Expertise in programming languages, preferably Python
  • Familiarity with Kubernetes, including distributions (Openshift, Rancher, GKE)
  • Familiarity with Containers, including Open Container Initiative (OCI) and Docker
  • Experience with Pipeline Automation, such as ArgoCD, Tekton, Gitlab CI/CD, Jenkins
  • Knowledge of DevSecOps and Cloud Native software development practices
  • Knowledge of common machine learning frameworks, such as Tensorflow, Torch, Sci-kit
  • Familiarity with public cloud computing services, (AWS preferred)
  • Familiarity with Package Management, such as Helm
  • Familiarity with Monitoring and Performance, such as Prometheus, Grafana, Dynatrace, Sysdig
  • Knowledge of Machine Learning Architectures, including GPU Computing, High Performance Computing (HPC)
  • Knowledge of ML/AI Orchestration, such as Kubeflow or Domino
  • Knowledge of Data Orchestration, such as Airflow, Prefect, Luigi
  • Experience with machine learning platforms such as Sage Maker (and AWS ML suite)
  • Experience writing Infrastructure as Code (Terraform or CloudFormation preferred)
  • Deep understanding of ETL processes and cloud-based infrastructures
  • Data pipeline experience in setting up systems that enable data scientists to quickly build, test, and optimize models
  • Experience in building reusable frameworks for data ingestion and streaming analytic solutions using technologies such as Kinesis, Kafka or Apache Spark
  • Real world experience using Applied Machine Learning techniques
  • Developing data pipelines using workflow scheduling tools, such as Airflow
  • Knowledge of multiple ETL technologies, including traditional RDBMS and structure-less solutions
  • Knowledge of standard source code control systems, such as Git
  • AWS Cloud-based architectures
  • Experience with optimization, assessing model performance
  • Experience with model explain-ability
  • Familiarity with model adversarial testing techniques
  • Experience with verification & validation of software
  • Interest in and experience researching ethical implementations of machine learning
  • Experience with data validation, ML training tests, model staleness tests, model performance tests, TPMs, integration tests, and unit tests

The salary range for this position is: $160,565.00 - $207,790.00. Gilead considers a variety of factors when determining base compensation, including experience, qualifications, and geographic location. These considerations mean actual compensation will vary. This position may also be eligible for a discretionary annual bonus, discretionary stock-based long-term incentives (eligibility may vary based on role), paid time off, and a benefits package. Benefits include company-sponsored medical, dental, vision, and life insurance plans*.

For additional benefits information, visit:

* Eligible employees may participate in benefit plans, subject to the terms and conditions of the applicable plans.

For jobs in the United States:

As an equal opportunity employer, Gilead Sciences Inc. is committed to a diverse workforce. Employment decisions regarding recruitment and selection will be made without discrimination based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job related characteristics or other prohibited grounds specified in applicable federal, state and local laws. In order to ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Era Veterans' Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact for assistance.

Following extensive monitoring, research, consideration of business implications and advice from internal and external experts, Gilead has made the decision to require all U.S., Canada, Australia, Singapore, and Hong Kong employees and contractors to receive the COVID-19 vaccines as a condition of employment. “Full vaccination” is defined as two weeks after both doses of a two-dose vaccine or two weeks since a single-dose vaccine has been administered. Anyone unable to be vaccinated, either because of a sincerely held religious belief or a medical condition or disability that prevents them from being vaccinated, can request a reasonable accommodation.​

For more information about equal employment opportunity protections, please view the 'Know Your Rights' poster.



Our environment respects individual differences and recognizes each employee as an integral member of our company. Our workforce reflects these values and celebrates the individuals who make up our growing team.

Gilead provides a work environment free of harassment and prohibited conduct. We promote and support individual differences and diversity of thoughts and opinion.

For Current Gilead Employees and Contractors:

Please log onto your Internal Career Site to apply for this job.



Gilead Sciences is a biopharmaceutical company that discovers, develops, and commercializes innovative therapeutics in areas of unmet medical need. The company's mission is to advance the care of patients suffering from life-threatening diseases worldwide. Headquartered in Foster City, California, Gilead has operations in North America, Europe and Australia.

Find Us
333 Lakeside Drive
Foster City

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