Accepting Applications
Full-time
Hybrid
Posted 2 days, 21 hours ago
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0 applications
Job Description
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**What We'll Bring:**
Experience
* 6 to 8 years of relevant experience
What We’ll Bring:
* Design, Integrate and delivery of enterprise\-scale AI/ML solutions (data pipelines, ML systems, AI agents, APIs, cloud\-native services) across a polyglot stack (Java \+ Python).
* Own the technical roadmap from concept to deployment, ensuring scalability, performance, security, and responsible AI (fairness, transparency, compliance).
* Work closely with engineering, data science, and platform teams to build production\-grade systems.
* Foster best practices in system design, development, and deployment across teams.
* Drive innovation use cases and PoCs, aligning technical solutions with business outcomes.
* Bridge business stakeholders and engineering, translating complex requirements into robust designs and measurable impact.
**What You'll Bring:**
**What You’ll Bring:**
* Architecture \& Engineering
+ Design and build end\-to\-end scalable systems and APIs using Java\-based backend frameworks.
+ Strong understanding of system design (HLD \& LLD) and engineering best practices.
+ Ability to develop production\-grade services with focus on performance, reliability, and maintainability.
+ Apply secure coding practices and build systems with scalability in mind.
* Platforms \& Cloud
+ Familiarity with cloud environments and deployment concepts (AWS/GCP).
+ Hands\-on experience with CI/CD pipelines and deployment workflows.
+ Strong experience with containers and orchestration (Docker, Kubernetes).
+ Familiarity with microservices and distributed system architectures.
+ Use DJL (Deep Java Library) and ONNX Runtime Java for on‑JVM inference where appropriate; integrate Spark/Databricks MLlib for large‑scale pipelines.
* Data \& ML Systems
+ Theoretical understanding of AI/ML fundamentals and data science workflows.
+ Experience with data pipelines (ingestion, transformation, orchestration).
+ Ability to deploy and serve ML models via APIs/services and integrate into production systems.
+ Hands\-on knowledge of MLOps/AgentOps practices including versioning, monitoring, and lifecycle management.
**Impact You'll Make:**
* Mandatory Technical Expertise:
+ Strong programming expertise in Advanced Java.
+ Backend frameworks (Spring Boot).
+ API design principles (REST/gRPC).
+ Databases: PostgreSQL, along with exposure to NoSQL/Graph/Vector DBs.
+ SQL and data modeling fundamentals.
+ Solid understanding of performance optimization, concurrency, and scalable system design.
+ MLflow/DVC, model versioning/monitoring, CI/CD (Jenkins/GitHub Actions), Maven/Gradle, Terraform.
+ Containers \& Orchestration: Docker, Kubernetes, KServe/Seldon Core, Helm.
* Good to have:
+ Working knowledge of Python for data and ML workflows.
+ Pyspark.
* Ownership \& Problem Solving
+ Asks the right technical and product questions, influences solution design, and identifies system and integration risks early with effective solutions.
+ Strong system thinking covering latency, reliability, scalability, and observability.
+ Ownership mindset to drive components end\-to\-end from development to production.
**Impact You'll Make:**
* Collaboration \& Leadership
+ Work closely with cross\-functional teams to translate business problems into technical solutions.
+ Enable seamless collaboration between data science and engineering ecosystems.
+ Strong communication and stakeholder management skills.
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
Developer III, Applications Development
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