- Strong hands-on programming skills in Python with multiple design patterns.
- Strong hands-on expertise in Kubernetes and Docker, having ability to build and optimize container images.
- Experience with Azure/GCP cloud platform, machine learning services and best practices.
- Strong problem-solving abilities with a capacity to quickly dive deep into issues and propose effective solutions.
Ability to manage multiple concurrent tasks and prioritize
Responsibilities- Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges.
- Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving.
- Preferred Certifications:
- CKA – Certified Kubernetes Administrator
- CKAD – Certified Kubernetes Application Developer
- Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow.
- hands-on expertise in SQL.
- Experience in collaborating with data scientist to solve ML model execution related challenges, and able to suggest different solution architecture for overcoming the challenges.
- Experience with machine learning tools among phases in MLOps life cycle such as feature store (FEAST), model registry, problem optimizer (GUROBI) or real-time model serving.
- Preferred Certifications:
- CKA – Certified Kubernetes Administrator
- CKAD – Certified Kubernetes Application Developer
- Good Understanding of machine learning platforms such as Kubeflow and VertexAI, and frameworks such as XGBoost, PyTorch and TensorFlow.
- hands-on expertise in SQL.
Skills Required
- Strong hands-on programming skills in Python with multiple design patterns
- Strong hands-on expertise in Kubernetes and Docker, including building and optimizing container images
- Experience with Azure or GCP cloud platforms and cloud ML services
- Experience collaborating with data scientists to solve ML model execution challenges and propose architectures
- Experience with MLOps lifecycle tools such as feature store (FEAST), model registry, problem optimizer (GUROBI), or real-time model serving
- Good understanding of Kubeflow and VertexAI
- Knowledge of ML frameworks: XGBoost, PyTorch, TensorFlow
- Hands-on expertise in SQL
- Strong problem-solving abilities and ability to manage multiple concurrent tasks and prioritize
- CKA - Certified Kubernetes Administrator
- CKAD - Certified Kubernetes Application Developer
EXL Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about EXL and has not been reviewed or approved by EXL.
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Healthcare Strength — Medical plan options include HSA, HRA, and PPO choices, with additional health-related programs such as disability coverage and an employee assistance program. Feedback suggests these options provide meaningful flexibility and coverage breadth for many roles.
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Leave & Time Off Breadth — Up to 20 days of paid time off, plus federal holidays and paid sick and safe time, are highlighted. Feedback suggests this leave structure is a notable benefit alongside core compensation.
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Retirement Support — A traditional and Roth 401(k) with up to a 3% company match and full vesting after one year is described. Feedback suggests this match and vesting timeline help bolster long-term savings.
EXL Insights
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.
