Technical Architect with a strong background in software engineering, data science, and DevOps to lead the design, development, and deployment of scalable machine learning and data science applications. The ideal candidate will have hands-on experience with cloud environments, MLOps, CI/CD pipelines, and multi-tenant architecture. This role requires both technical leadership and the ability to collaborate across cross-functional teams to drive innovation and operational excellence.
Responsibilities1. Solution Architecture & System Design
- Architect scalable, reusable data science and machine learning pipelines leveraging cloud services such as AWS SageMaker, Textract, and Comprehend.
- Design multi-tenant systems with robust application deployment architectures and rate-limiting mechanisms to ensure high availability and performance.
- Translate custom client requirements into scalable technical architecture, conducting impact assessments and delivery planning.
2. Development & Deployment Leadership
- Lead development and deployment of complex data science and information extraction solutions in client cloud environments.
- Manage and optimize CI/CD pipelines for continuous delivery of data science applications.
- Own the tenant onboarding process and manage lifecycle operations for multi-tenant deployments.
3. DevOps & MLOps Management
- Oversee DevOps and MLOps teams to ensure reliable, consistent releases and maintenance of deployed products.
- Collaborate with internal and client DevOps teams to implement best practices and streamline application-specific DevOps workflows.
- Monitor and enhance system performance and operational stability through effective pipeline and infrastructure management.
4. Cross-functional Team Collaboration & Leadership
- Drive collaboration between engineering, data science, delivery, and leadership teams to align technical solutions with business goals.
- Mentor and manage software engineers, DevOps, and MLOps personnel to foster a culture of continuous improvement.
- Represent the technical architecture team in leadership discussions, providing insights and recommendations for strategic decision-making.
5. Stakeholder Engagement & Technical Advocacy
- Act as a key technical advisor during client engagements, translating technical complexities into clear business value propositions.
- Support internal business initiatives, including technical demonstrations, competitions, and strategic presentations.
- Continuously gather feedback to iterate on solutions and drive product innovation.
- Bachelor’s degree in computer science, Information Technology, Business Administration, or related field.
- 7+ years of experience spanning software engineering, data science, and DevOps roles.
- Proven expertise in cloud platforms (AWS preferred), MLOps, and CI/CD pipeline design and management.
- Strong programming skills and hands-on experience with data science application development and deployment.
- Experience managing multi-tenant SaaS or ML platforms.
- Strong leadership, communication, and stakeholder management skills.
Skills Required
- Bachelor's degree in Computer Science, IT, Business Administration, or related field
- 7+ years experience spanning software engineering, data science, and DevOps
- Expertise with cloud platforms
- Preference for AWS experience
- Proven MLOps and CI/CD pipeline design and management experience
- Strong programming skills and hands-on data science application development and deployment
- Experience managing multi-tenant SaaS or ML platforms
- Strong leadership, communication, and stakeholder management skills
What We Do
Choosing a digital partner is about more than capabilities — it’s about collaboration and character. Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments. At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations. Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale. Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact. We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition. At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward. For more information, visit www.exlservice.com.
