Lead ML/AI Platform Engineer (EU, EMEA Remote)
SavvyMoney · Remote · Europe ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Lead level role
- Fully remote (EU/EMEA)
- AWS + Python + Java
- GenAI & LLM focus
- Contractor position
You will define the technical direction for AI and ML across the company, partnering with the Data Platform Architect. The role involves owning training infrastructure, model serving, inference pipelines, and the integration of these systems with existing Java microservices.
This position requires driving the engineering side of GenAI and LLM strategies, including retrieval architectures and evaluation harnesses. You will ensure agentic workflows run responsibly within a regulated financial environment while shortening the loop between data science experimentation and production deployment.
What you'll do
- Set technical direction for AI/ML architecture, tooling, and standards
- Own ML platform including training, serving, and inference pipelines
- Implement GenAI workflows using Amazon Bedrock and AgentCore
- Integrate ML services with Java microservices and define API contracts
- Partner with Data Scientists to productionize models and feature pipelines
- Establish guardrails for responsible agentic workflows in regulated environments
- Translate high-impact ML opportunities into technical roadmaps
What you'll need
- 8+ years in software or ML engineering with 5+ years in production ML
- Proven technical leadership and experience shaping ML strategy
- Hands-on experience with Amazon SageMaker, Bedrock, and AgentCore
- Deep knowledge of AWS stack including Glue, Lambda, and Step Functions
- Production experience with GenAI, RAG, and prompt engineering
- Working knowledge of Java for reviewing service code and APIs
- Expertise in Python, scikit-learn, pandas, PyTorch, or TensorFlow
- Solid MLOps fundamentals including monitoring and drift detection
- Ability to work as an independent contractor with US Pacific overlap
Nice to have
- Experience with ClickHouse or similar columnar databases
- Fine-tuning experience using LoRA, QLoRA, or RLHF
- Streaming and real-time inference experience with Kafka or Kinesis
- Infrastructure-as-code skills with Terraform or AWS CDK
- Experience operating ML systems at large scale
- Open-source contributions or published papers in ML
Stack
- Amazon SageMaker
- Amazon Bedrock
- AgentCore
- AWS Glue
- AWS Lambda
- AWS Step Functions
- Python
- Java
- Spark
- MLflow
- JupyterLab
- Amazon Redshift
- ClickHouse
How you'll work
- Fully remote from home office
- Must be based in Warsaw, Poland or EU/EMEA
- Independent Contractor role
- Overlap with US Pacific business hours required
What you get
- Equity compensation package
- Flexible Time Off policy
- 100% premium paid for medical, dental, and vision
- Disability and life insurance coverage
- Reimbursement for remote work setup
- Monthly stipend for phone and internet
- Half day Fridays
- 401k matching contribution