Machine Learning Engineer II (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer II (AI): Design, build, and optimize intelligent systems including ML, deep learning, generative AI, and compound AI systems with an accent on full lifecycle from data to deployed models and business impact. Focus on developing scalable solutions, structuring complex analyses, and collaborating globally on real-world problems at scale.
London or Manchester, United Kingdom
Company
Global Business Travel () is a leading travel management company helping businesses with travel as a force for good.
What you will do
- Utilize AI techniques like machine learning, deep learning, generative AI, and statistical modeling to develop solutions.
- Manipulate large datasets for business insights and drive actionable, data-driven decisions.
- Structure work, frame issues, and produce ML models or compound AI systems.
- Communicate complex data science topics clearly to partners and senior leadership.
- Collaborate with a global team across continents to achieve project goals.
Requirements
- 6+ years experience with bachelor’s degree or 3+ years with master’s degree or equivalent.
- Proven knowledge of AI techniques, statistical concepts, LLMs, guardrails, RAG, and agentic AI.
- Strong Python skills and hands-on experience with scikit-learn, Hugging Face, PyTorch, TensorFlow.
- Familiarity with MLOps, SQL, PySpark.
- Strong analytical abilities and passion for solving problems in structured/unstructured data.
Nice to have
- Experience with MLFlow, AWS SageMaker, Bedrock.
- Knowledge of feature stores, ML models as service, monitoring dashboards.
- Infrastructure knowledge (AWS, Kubernetes) and cost-awareness.
Culture & Benefits
- Flexible country-tailored benefits including health insurance, retirement, parental leave, adoption assistance, wellbeing resources.
- Travel perks with weekly deals on flights, hotels, cruises, car rentals.
- Access to 20,000+ courses, leadership training, internal job opportunities.
- Champion inclusion via global INclusion Groups for common identities and initiatives.
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