Senior Machine Learning Engineer

Reposted 3 Days Ago
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Bengaluru, Karnataka
Hybrid
Senior level
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Role
Lead design, development, and deployment of scalable machine learning solutions. Collaborate with teams to translate business problems into ML solutions, optimizing performance and implementing best practices.
Summary Generated by Built In

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What We'll Bring:

Job Summary:
We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in Python, Apache Spark, MLOps, and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino. You will play a key role in building intelligent systems that drive business value through data science and machine learning.

What You'll Bring:

Job Summary:

We are seeking a highly experienced and innovative AI/ML Engineer to lead the design, development, and deployment of scalable machine learning solutions. The ideal candidate will have deep expertise in PythonApache SparkMLOps, and cloud platforms (GCP and AWS), along with experience in distributed query engines like Trino. You will play a key role in building intelligent systems that drive business value through data science and machine learning.

Key Responsibilities:

  • Design and implement scalable ML pipelines using SparkPython, and MLOps best practices.
  • Develop, train, and deploy machine learning models in production environments.
  • Collaborate with data scientists, data engineers, and product teams to translate business problems into ML solutions.
  • Optimize model performance and ensure reproducibility, versioning, and monitoring using MLOps tools and frameworks.
  • Work with Trino and other distributed query engines for efficient data access and feature engineering.
  • Deploy and manage ML workloads on GCP and AWS, leveraging services like SageMaker, Vertex AI, BigQuery, and EMR.
  • Implement CI/CD pipelines for ML workflows and ensure compliance with data governance and security standards.
  • Mentor junior engineers and contribute to the development of best practices and technical standards.

Required Skills:

  • Strong programming skills in Python with experience in ML libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Expertise in Apache Spark for large-scale data processing.
  • Solid understanding of MLOps practices including model versioning, monitoring, and deployment.
  • Experience with Trino or similar distributed SQL engines (e.g., Presto, Hive).
  • Hands-on experience with GCP (e.g., Vertex AI, BigQuery) and AWS (e.g., SageMaker, S3, Lambda).
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).
  • Strong problem-solving skills and ability to work in a fast-paced, collaborative environment.

Preferred Qualifications:

  • Master’s or PhD in Computer Science, Data Science, or a related field.
  • Experience with feature stores, model registries, and ML observability tools.
  • Knowledge of data privacy, security, and compliance in ML systems.
  • Contributions to open-source ML or data engineering projects.

Impact You'll Make:

NA

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.

TransUnion Job Title

Sr Developer, Applications Development

Top Skills

Spark
AWS
GCP
Mlops
Python
Trino

What the Team is Saying

Patrick
Tiana
Jason
Lauren
TC
Jay
Aayushi
Paul
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The Company
HQ: Chicago, IL
13,000 Employees
Year Founded: 1968

What We Do

TransUnion is a global information and insights company that makes trust possible by ensuring that each consumer is reliably and safely represented in the marketplace.

We do this by having an accurate and comprehensive picture of each person.

This picture is grounded in our legacy as a credit reporting agency which enables us to tap into both credit and public record data; our data fusion methodology that helps us link, match and tap into the awesome combined power of that data; and our knowledgeable and passionate team, who stewards the information with expertise, and in accordance with local legislation around the world.

Because of our work, organizations can better understand consumers in order to make more informed decisions, and earn their trust through great, personalized experiences, and the proactive extension of the right opportunities, tools and offers. In turn, consumers can be confident that their data identities will result in the opportunities they deserve.

We make trust possible, so businesses and consumers can transact with confidence and achieve great things. We call this Information for Good®—it’s our purpose, and what drives us every day.

Why Work With Us

Our culture is welcoming, energetic and innovative. There’s an overall synergy that flows throughout TransUnion, creating a sense of unity in knowing that we’re all working to achieve the same overall goal. We’re dedicated to providing opportunities for our people to get involved and stay connected with their colleagues across the globe.

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Employees engage in a combination of remote and on-site work.

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