Location: Canada (UTC-4)
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, Rust, SQL, PyTorch, Spark, Terraform/Pulumi, Docker, Kafka, FastAPI, Azure, GCP, Databricks
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI engineer, 9+ years. I design, build, and review data platforms and ML/AI systems end to end. Clients bring me in to evaluate their situation, choose the right approach, and either build it or help their team build it — lakehouses, ML pipelines, RAG, agents, cloud infrastructure, rapid PoCs. Location: Canada (Atlantic Time, UTC-4) | EU-based business (Germany)
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, Rust, SQL, Spark, Polars, Terraform, Pulumi, Prefect, Airflow, Docker, Kafka, FastAPI, PyTorch, LangChain, MLflow, Azure, GCP, Databricks
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Freelance data & AI engineer with 9+ years of experience. I've worked with early-stage startups and established manufacturers across Germany, Switzerland, the US, and Canada. I design and build data platforms, ML/AI systems, and the infrastructure around them - end to end. - Data platform architecture and pipeline development
- ML/AI systems: RAG, agents, fine-tuning, evaluation pipelines
- Cloud infrastructure and orchestration (Azure, GCP)
- Proof-of-concepts and MVPs — I favor iterative approaches, starting focused and building from there
Client references available upon request. - Data: PySpark, Python, Databricks, Airflow, SQL, BigQuery, Synapse, Cassandra
- Infrastructure: Terraform, Docker, Kubernetes
- Databases: PostgreSQL, MongoDB, Redis
- Streaming: Kafka, Spark Streaming
Specialized in: - Data platform architecture and implementation
- ETL/ELT pipeline design
- Data engineering best practices and team mentoring
- Rapid MVP development for data solutions
I focus on delivering pragmatic solutions while maintaining high engineering standards. Happy to discuss your data challenges and how I can help.
Location: Berlin, Germany → Atlantic Canada this summer
Remote: Yes (remote only)
Willing to relocate: No
Technologies: Python, PyTorch, mlx-lm, DuckDB, FastAPI, Rust, SQL, Spark, Databricks, Prefect, Terraform, Pulumi, Azure, GCP
Résumé/CV: http://linkedin.com/in/tomislav-grbe%C5%A1i%C4%87-388442328/
Email: in profile
Data & AI engineer, 9+ years. I design, build, and review data platforms and ML/AI systems end to end — lakehouses, ML pipelines, RAG, agents, cloud infrastructure, rapid PoCs. I own retrieval quality and data-readiness for RAG and agent systems — the data plumbing underneath the LLM call, plus the evals and guardrails on top.
I also advise engineering teams on AI-assisted development workflows.
Client references available.