ThoughtWorks

About ThoughtWorks

Transforming businesses through technology and innovation

🏢 Tech👥 5K-10K📅 Founded 1993📍 Chicago, Illinois, United States

Key Highlights

  • Headquartered in Chicago, Illinois, with 43 global offices
  • Approximately 7,000 employees worldwide
  • Serves clients including BMW, BBC, and the UN
  • Focus on software development and digital transformation

ThoughtWorks is a global technology consultancy headquartered in Chicago, Illinois, with over 43 offices across 14 countries. The company specializes in software development, digital transformation, and agile consulting, serving clients like BMW, the BBC, and the United Nations. With a workforce of ...

🎁 Benefits

ThoughtWorks offers competitive salaries, equity options, a generous PTO policy, and flexible remote work arrangements. Employees also benefit from a ...

🌟 Culture

ThoughtWorks fosters a culture of continuous learning and innovation, emphasizing agile methodologies and collaborative problem-solving. The company v...

Overview

ThoughtWorks is hiring a Senior MLOps Engineer to ensure the reliability and performance of large-scale machine learning systems. You'll work with technologies like Python, Docker, and Kubernetes while collaborating with cross-functional teams. This role requires expertise in machine learning and operational excellence.

Job Description

Who you are

You have a strong background in machine learning and operational practices, with experience in deploying and maintaining AI systems in production environments. Your expertise in Python and familiarity with containerization technologies like Docker and orchestration tools such as Kubernetes enable you to build robust ML pipelines. You are committed to engineering best practices, including clean code and test-driven development, and you thrive in collaborative environments where feedback is encouraged. You understand the importance of observability and monitoring in maintaining system performance and reliability.

You have a passion for continuous improvement and are always looking for ways to enhance the performance and safety of machine learning models. Your experience working closely with developers, data scientists, and product teams allows you to deliver production-ready AI capabilities that meet business needs. You are also dedicated to fostering an inclusive team culture, supporting the growth of your colleagues, and sharing your knowledge with others.

What you'll do

As a Senior MLOps Engineer at ThoughtWorks, you will be responsible for the design, implementation, and maintenance of monitoring and alerting systems for machine learning and AI operational signals. You will ensure that model performance is continuously evaluated and improved, addressing any degradation proactively. Your role will involve collaborating with cross-functional teams throughout the software delivery lifecycle, contributing to design and deployment processes while maintaining a high standard of operational excellence.

You will champion engineering best practices, advocating for clean and maintainable code, and promoting test-driven development within your team. Your hands-on approach will see you actively contributing to codebases and applying modern practices from the Thoughtworks Technology Radar. You will design pragmatic solutions that balance technical constraints with cost efficiency and performance, ensuring that the AI systems you work on are safe and reliable.

In addition to your technical responsibilities, you will play a key role in fostering a collaborative team culture. You will encourage feedback and support the professional growth of your team members, helping to create an environment where everyone can thrive. Your contributions will directly impact the quality and effectiveness of the AI capabilities delivered to clients, making a meaningful difference in their business outcomes.

What we offer

At ThoughtWorks, we believe in the power of technology to solve complex business problems. We offer a dynamic work environment where you can push boundaries and make an extraordinary impact. You will have the opportunity to work on cutting-edge projects with a talented team of professionals who are committed to continuous learning and improvement. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and backgrounds. Join us in our mission to deliver exceptional results for our clients and help shape the future of technology.

Interested in this role?

Apply now or save it for later. Get alerts for similar jobs at ThoughtWorks.

Similar Jobs You Might Like

Based on your interests and this role

Taboola

Mlops Engineer

Taboola📍 Tel Aviv - Hybrid

Taboola is hiring a Senior MLOps Engineer to develop and maintain scalable Machine-Learning infrastructures. You'll work with SQL, No-SQL, Apache Spark, and Airflow to ensure infrastructure reliability. This position requires 5+ years of experience in large scale systems.

🏢 HybridSenior
2 months ago
CreatorIQ

Mlops Engineer

CreatorIQ📍 San Francisco - Hybrid

CreatorIQ is hiring a Senior MLOps Engineer to lead Applied MLOps initiatives. You'll focus on bridging experimental data science with production-grade efficiency using technologies like Python, AWS, and Docker. This role requires significant experience in MLOps and machine learning frameworks.

🏢 HybridSenior
2w ago
Egen

Mlops Engineer

Egen📍 Remote - Remote

Egen is hiring a Senior MLOps Engineer to lead the design and development of cutting-edge AI/ML infrastructure. You'll work with technologies like Google Cloud and Salesforce to ensure efficient machine learning operations. This position requires expertise in MLOps and a strong background in data engineering.

🏠 RemoteSenior
4w ago
Pattern

Mlops Engineer

Pattern📍 Pune

Pattern is hiring a Senior MLOps Engineer to optimize and automate ecommerce growth for global brands using machine learning and AI. You'll work with technologies like Python, TensorFlow, and AWS in Pune, India.

Senior
6 months ago
Cloudbeds

Mlops Engineer

Cloudbeds📍 United Kingdom - Remote

Cloudbeds is hiring an MLOps Engineer to build and implement features that empower lodging customers to make data-driven pricing decisions. You'll work with machine learning techniques and collaborate with product and engineering teams. This role requires expertise in MLOps practices and cloud technologies.

🏠 RemoteMid-Level
2 months ago