Cloud AI Engineer (Remote from Poland)
Summary
Designs and delivers AI/ML solutions for Virtusa's clients on Google Cloud — Vertex AI, MLOps, Document AI, Generative AI, and agentic workflows (ADK, LangChain, AgentSpace) — in a consulting-style role that may involve travel to client meetings. Strong coding in Python/Java/C++ and production ML experience are central to the job.
About Us
At Virtusa, every innovator has the potential to transform and lead in a digital world—but unlocking that potential takes more than technology; it takes a trusted partner who combines engineering excellence, creativity, and an AI-first mindset.
Together, we co-create solutions that help businesses grow faster, operate smarter, and make experiences better with technology.
We are currently seeking a Cloud AI Engineer for a position based in Europe. Role may involve travel for client meetings
Minimum Qualifications:
- Bachelor’s degree in Computer Science, Mathematics, Statistics, Engineering, or a related field, or equivalent practical experience.
- Experience in machine learning and artificial intelligence.
- Coding and scripting proficiency in Python, Perl, C, C++, or Java.
- Experience in technical client service or consulting.
- Fluent English communication skills.
- echnical Skills: Vertex AI, MLOps, Document AI, and Generative AI. Experienced in building multi-step Agentic AI workflows with ADK, Agent Engine, LangChain, Vertex AI, and AgentSpace.
Preferred Qualifications:
- Solid understanding of production ML system practicalities.
- 7+ years of hands-on experience with recommendation engines, data pipelines, or distributed machine learning.
- Experience with deep learning frameworks (e.g., TensorFlow, PyTorch, XGBoost).
- Knowledge of data warehousing concepts, including architectures, ETL/ELT, and analytic environments (e.g., Apache Beam, Hadoop, Spark, Hive).
- Relevant experience in technical consulting.