Cognizant is hiring a Machine Learning Engineer

Cognizant is looking for a Machine Learning Engineer to bridge business needs and IT development, focusing on high-impact areas like Financial Economic Crime (FEC) and Customer Due Diligence (CDD). You will design, build, and operate scalable machine learning platforms and pipelines with a focus on automation, standardization, and regulatory-compliant model delivery.

What You'll Do

• Work on the critical banking domain of Financial Economic Crime (FEC).
• Develop, manage, and maintain Azure infrastructure and Databricks workspaces tailored for high-performance ML and AI use cases.
• Build and maintain scalable machine learning pipelines across the full ML lifecycle in collaboration with data scientists and engineering teams.
• Ensure the health and reliability of ML systems by monitoring data quality, model performance, and business impact, and define mitigation strategies.
• Identify bottlenecks and improvement opportunities in the ML development cycle and introduce tools to improve development, testing, and deployment efficiency.
• Implement solutions in line with architectural guidelines and engineering best practices.
• Continuously evolve technical expertise by staying up to date with the latest ML, data, and cloud technologies.

What We're Looking For

• An eagerness to learn, a solution-oriented mindset, and a collaborative nature.
• A completed HBO or WO degree in a relevant field (e.g., Computer Science, Data, Engineering).
• A minimum of 4 years of relevant experience in Software, Data, or ML Engineering.
• A minimum of 2 years of hands-on experience in Machine Learning Engineering.
• Strong hands-on experience with Python and PySpark, ideally with large datasets.
• Solid software engineering practices, including Git, release management, unit testing, and testing strategies.
• Experience working in a cloud environment, preferably Microsoft Azure.
• Familiarity with setting up and managing CI/CD pipelines.
• Experience working in Agile and/or Scrum development environments.
• Passion for building scalable, efficient, and robust data and ML solutions.

Nice to Have

• Experience with Azure Databricks is a strong plus.

Technical Stack

• Python
• PySpark
• Azure
• Databricks
• Git

Benefits & Compensation

• A competitive salary based on your qualities and experience.
• NS business card to cover your commute expenses.
• 25 days of paid holiday per year.
• A laptop and a smartphone.
• A pension scheme.
• Health insurance.
• Access to Udemy and Cognizant Academy digital libraries for continuous learning.

Cognizant is an equal opportunity employer.