As a Senior AI / ML Ops Engineer at Sealenic, you’ll play a vital role in transforming decision-making for both on-shore and off-shore teams in the shipping industry. The systems you’ll help design and build will have a direct impact on the frontline of the maritime sector, which facilitates over 90% of global trade. You’ll work closely with product and technical teams to develop and maintain the data infrastructure behind our cutting-edge SaaS platform. In this role, you’ll not only drive the development of robust data pipelines, but also influence the data architecture that powers our innovative products.
About the Role
We're seeking a highly skilled and proactive Senior AI / ML Ops Engineer to join our team full-time to develop the data platform that will revolutionize decision-making in the shipping industry. The role offers exciting opportunities to work with large-scale data, Generative AI technologies, and dynamic data environments.
Responsibilities
Shape the technical vision and roadmap for our AI/ML platform, ensuring alignment with business goals
Lead end‑to‑end delivery of ML services: Data pipelines, Agentic patterns, model fine‑tuning and training, deployment, and monitoring
Participate in architecting and operating services (including our MCP server) for inference, function‑calling, and orchestration at scale
Design and integrate ontology‑driven knowledge graphs and vector‑search pipelines (embeddings, retrieval workflows)
Build and optimize cloud infrastructure (AWS Lambda, ECS, S3 etc) for cost‑efficient, low‑latency inference
Establish MLOps best practices: CI/CD for models (MLflow), testing frameworks (unit, integration, A/B), and robust logging/alerting
Mentor and coach fellow engineers, run code reviews, and evangelize Responsible AI and continuous improvement
Strong technical background in software engineering, machine learning, or AI product development.
Deep knowledge of data and AI ecosystems, patterns and frameworks(LLMs, embeddings, vector stores, RAG, model tuning, evaluation).
4+ years designing and operating cloud‑native applications (AWS) for AI workloads
Proven track record owning the technical direction of large‑scale systems and coaching junior engineers
Experience in model fine‑tuning, prompt engineering, function calling, and retrieval‑based methods
Strong background in feature engineering, model evaluation/diagnostics, and real‑time monitoring
- Master’s degree in CS, AI/ML or equivalent practical experience
Languages & Frameworks: Python Fast API (expert)
AI/ML: LangChain, Hugging Face, PyTorch, TensorFlow
MLOps & Pipelines: MLflow, Kubeflow, CI/CD (GitHub Actions), AWS (CDK/Cloudformation/Terraform)
Data & Search: ETL workflows, SQL/NoSQL, vector stores, graph databases
Cloud & Infra: AWS (Lambda, ECS, S3, Aurora, CloudWatch), Docker
Monitoring & Testing: pytest/jest,CloudWatch, Postman/Newman
Professional Skills
Excellent written and verbal communication in English.
Strategic thinker who balances rapid delivery with long‑term maintainability
Adaptable problem‑solver comfortable with ambiguity and evolving requirements
Passion for mentorship, knowledge sharing, and fostering a culture of technical excellence
Competitive compensation package + ESOP (stock options)
A high-impact foundational role at an early-stage startup
Direct access to founders and influence on company strategy
A supportive and flexible working environment (hybrid in Berlin)
Access to an extensive network of startup, maritime, and consulting veterans
At Sealenic, we’re building the future of maritime decision-making. If you’re passionate about data, innovation, and building impactful solutions, we’d love to hear from you!
