AI/ML Engineer (all genders)
9.0/10
sunday
$65,000 – $95,000 USD
Remote
mid
about 10 hours ago
aitechPythonML/DL librariesscikit-learnTensorFlowPyTorchHugging FaceLangChainBigQuerydbtSQL
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Description
What you'll do
- •Design, build, and maintain modular, reusable ML pipelines in Vertex AI Pipelines covering training, evaluation, deployment, monitoring, and retraining.
- •Develop GenAI capabilities including embeddings, retrieval pipelines, vector databases, and RAG frameworks for chatbots, personalisation, and semantic search.
- •Build and manage feature stores and reusable datasets in collaboration with Data Engineers and Analysts.
- •Productionise workflows with Prefect orchestration and CI/CD pipelines in Bitbucket.
- •Implement continuous evaluation, drift detection, performance monitoring, rollback strategies, and retraining triggers for deployed models.
- •Embed GDPR compliance, RBAC, anonymisation, explainability, fairness, and auditability into every model and pipeline.
- •Document lineage of features, models, and inference workflows, and partner with the Data Governance Lead on ethical AI frameworks.
- •Translate technical capabilities into business friendly outcomes, communicating trade offs across accuracy, latency, and cost to non technical stakeholders.
- •Mentor Data Engineers in ML Ops and GenAI techniques, and contribute to internal AI/ML guilds and best practices.
What we offer
- •An appealing discount on all of our products – from essential oils to vitamins & nutrients.
- •The Urban Sports Club membership, Swapfiets bike rental and a subsidy for the BVG ticket.
- •Your career is unique. That’s why we offer the opportunity for tailored Learning & Development as well as (Leadership) Coaching programs, designed to support your personal professional journey.
Requirements
Your profile
- •5 to 7 years of experience in Data Engineering or ML Ops, with at least 3 years focused on productionising ML pipelines.
- •A degree in Computer Science, Data Science, Engineering, or a related field. PhD a plus.
- •Expert proficiency in Python and ML/DL libraries such as scikit-learn, TensorFlow, PyTorch, Hugging Face, and LangChain.
- •Strong with BigQuery, dbt, and SQL for feature and data preparation.
- •Hands-on experience with Vertex AI for pipeline orchestration, deployment, and monitoring (or AWS/GCP equivalents).
- •Experience with Prefect orchestration and CI/CD pipelines in Bitbucket.
- •Familiarity with ML Ops frameworks such as MLflow or TFX, and containerisation with Docker and Kubernetes.
- •Experience with vector databases such as Pinecone, FAISS, or Milvus.
- •Proven delivery of ML or GenAI use cases in production with measurable business impact.
- •Strong stakeholder communication and the ability to translate AI/ML into measurable business outcomes.
- •Systems thinker with strong ethical grounding in responsible AI; balances innovation with operational reliability and cost control.
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