Senior Data Engineer (AI Focus) remote from Poland
About this role
This is a remote position.
- AI Data Infrastructure: Design and scale data architectures specifically tailored for Machine Learning (ML) lifecycles, including feature stores, vector databases, and model training pipelines.
- Pipeline Engineering: Architect, build, and maintain robust ETL/ELT pipelines that handle structured and unstructured data with a focus on low latency and high reliability.
- Data Governance & Quality: Implement automated testing and monitoring for data integrity, ensuring that "garbage in, garbage out" is never a reality for our AI models.
Requirements
- Proficiency in Python and SQL. Experience with Java or Scala is a plus.
- Big Data Tools: Hands-on experience with frameworks like Apache Spark, Flink, or Kafka.
- AI/ML Familiarity: Experience supporting AI projects (e.g., handling embeddings, managing datasets for LLM fine-tuning, or working with tools like LangChain or LlamaIndex).
- Infrastructure as Code: Comfortable with Terraform or Docker/Kubernetes to manage data environments.
- BigQuery: Advanced optimization and partitioning strategies.
- Vertex AI: Experience building and deploying data pipelines within the Vertex ecosystem.
- Dataflow/Dataproc: Professional experience with managed Apache Beam or Spark services.
- Building real-time event-driven architectures.
- APIs: Understanding of REST APIs and microservices architecture.
Company at a glance
Virtusa is a global product and platform engineering services company that makes experiences better with technology. We help organizations grow faster, more profitably, and more sustainably by reimagining enterprises through domain-driven solutions. We combine strategy, design, and engineering, backed by unmatched expertise at the intersection of industry, business, and technology to generate real-world business impact for clients.
Headquartered in Massachusetts with global delivery centers, Virtusa provides a broad range of services, solutions, and assets, including strategy and design, AI advisory and services, digital engineering, data and analytics, digital assurance, cloud and security, cx transformation and managed services across industries such as financial services, healthcare, communications, media, entertainment, travel, manufacturing, and technology.
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