Data Scientist - ML Ops

EXL Service

EXL Service is a prominent data analytics and digital operations firm, partnering with leading corporations across diverse industries to innovate business models through data and AI. The company, with over two decades of experience, is headquartered in New York and operates globally. This role is integral to utilizing machine learning for driving strategic business initiatives and involves collaboration with various teams to optimize model performance.

In this role you can expect to have the responsibilities:

• Design and validate tailored machine learning models.
• Implement MLOps strategies to handle the model lifecycle.
• Develop data pipelines for model training and deployment.
• Monitor and optimize model performance in real-time.
• Collaborate across teams to deliver data-driven solutions.
• Document processes and share best practices.
• Troubleshoot and resolve model deployment issues.

This role comes with the following benefits:

• Bonuses
• Paid Time Off policy
• Region-specific benefits

This role requires you to have:

• Bachelor’s or master’s degree in a relevant field.
• 6-9 years in data science, focusing on MLOps.
• Proficiency in Python.
• Knowledge of machine learning algorithms and statistical modeling.
• Experience with cloud platforms (AWS, Azure, Google Cloud).
• Familiarity with data engineering principles and SQL.
• Proficiency in version control (Git).
• Strong communication skills.

You would benefit from having:

• Experience with big data technologies (Hadoop, Spark).
• Knowledge of containerization (Docker, Kubernetes).
• Understanding of DevOps practices (Jenkins, Terraform).
• Business acumen for translating business needs into technical solutions.

EXL is committed to diversity and offers equal opportunities to all individuals. The hiring process may involve AI to assist with candidate evaluation, but all decisions are made by the recruitment team. Candidates can opt-out of AI screening without consequences.