"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
About the role
As a Senior MLOps Engineer, you will make an impact by designing, implementing, and managing the cloud infrastructure, deployment pipelines, and monitoring frameworks that enable machine learning models to run reliably and efficiently in production environments. You will be a valued member of the AI & Data Engineering team and work collaboratively with Data Scientists, Data Engineers, business stakeholders, and global delivery teams to establish and scale MLOps capabilities on Google Cloud Platform (GCP).
In this role, you will:
- Lead the migration, containerization, and deployment of existing machine learning models into the Google Cloud Vertex AI ecosystem.
- Design, implement, and maintain scalable CI/CD/CT pipelines using Vertex AI Pipelines, Kubeflow, Cloud Build, and related cloud-native technologies.
- Develop and manage model deployment frameworks supporting both real-time and batch inference workloads while ensuring reliability, scalability, and performance.
- Establish monitoring, governance, and lifecycle management processes, including model drift detection, version control, model registry management, and rollback strategies.
- Partner with business stakeholders, Data Science teams, and Data Engineering teams to define requirements, align priorities, and deliver enterprise-grade MLOps solutions.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring regular onsite presence in Atlanta, Georgia. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- 7+ years of experience in Data Engineering, Software Engineering, Machine Learning Engineering, or a related technical field.
- 3+ years of hands-on experience building and managing MLOps solutions and deploying machine learning models into production environments.
- Strong expertise with Google Cloud Platform services, including Vertex AI, BigQuery, Cloud Storage, Pub/Sub, and related cloud-native technologies.
- Advanced programming experience with Python and SQL, along with hands-on expertise in Docker, Kubernetes, and Google Kubernetes Engine (GKE).
- Proven experience implementing CI/CD pipelines and Infrastructure as Code using tools such as Terraform, GitHub Actions, GitLab CI, Jenkins, or Cloud Build.
- Demonstrated ability to lead technical initiatives, collaborate across distributed teams, and communicate effectively with both technical and non-technical stakeholders.
These will help you stand out
- Google Cloud Professional Machine Learning Engineer or Professional Cloud Architect certification.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
- Experience implementing model monitoring, governance, and compliance frameworks in enterprise environments.
- Familiarity with Agile and Scrum methodologies.
- Experience mentoring engineers and leading offshore or distributed delivery teams.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Applications will be accepted until September 29th, 2026.
Salary and Other Compensation:
The annual salary for this position is between $130,000 - $155,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Sobre a Cognizant
Cognizant (NASDAQ: CTSH) é uma construtora de IA e fornecedora de serviços de tecnologia, criando a ponte entre o investimento em IA e o valor para as empresas por meio do desenvolvimento de soluções de IA completas para nossos clientes. Nossa profunda experiência em setores, processos e engenharia nos permite incorporar o contexto único de cada organização em sistemas tecnológicos que potencializam a capacidade humana, geram resultados tangíveis e mantêm empresas globais à frente em um mundo em rápida transformação. Saiba mais em cognizant.ai ou @cognizant.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Informações adicionais de emprego
Os candidatos podem ser obrigados a comparecer a entrevistas presenciais ou por videoconferência. Além disso, os candidatos podem ser obrigados a apresentar seu documento de identificação emitido pelo estado ou governo atual durante cada entrevista.
Embora nosso sistema permita a candidatura em todos os idiomas, o(s) idioma(s) e o(s) nível(is) de proficiência exigidos para o trabalho variam. No entanto, é necessário um nível básico de inglês para fins de comunicação em toda a empresa.
A Cognizant é uma empregadora que investe em equidade. Sua candidatura não será pautada em raça, cor, gênero, sexualidade, credo, origem, deficiência, gravidez ou qualquer outra característica protegida pelas leis brasileiras.
Se você tem uma deficiência que requer adaptações razoáveis para procurar uma vaga de emprego ou enviar uma candidatura, envie um e-mail para [email protected] com sua solicitação e informações de contato.
