Senior AI Engineer
Senior AI Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
Job Description
The Position
We are looking for an experienced AI Engineer to join the Discover Marketplace Platform team driving the design development and optimization of our next-generation search experience Search 2.0. This role will focus on leveraging Large Language Models (LLMs) vector search and retrieval-augmented generation (RAG) to deliver semantic context-aware and high-relevance search across our global data marketplace.
What will you do
- Collaborate with product managers data engineers backend/frontend developers and stakeholders to translate business requirements into scalable AI-powered search capabilities.
- Design build and maintain the data ingestion pipeline including entity recognition taxonomy integration and context enrichment using LLMs.
- Develop and optimize vector embedding generation similarity search and hybrid search integration (keyword semantic).
- Implement retrieval-augmented generation (RAG) workflows including query validation entity recognition context enrichment and result summarization.
- Select fine-tune and integrate embedding models (e.g. BioBERT Sentence Transformers OpenAI Ada) to improve search accuracy for domain-specific datasets.
- Integrate with knowledge sources like eVOC and other terminologies for enriched metadata and improved retrieval.
- Build and maintain re-ranking algorithms combining keyword scores (OpenSearch) with vector similarity.
- Monitor system performance optimize for latency and implement caching strategies for high availability.
- Implement a feedback loop to continuously improve model accuracy based on user interactions.
- Ensure all AI pipelines meet security compliance and privacy standards especially for sensitive health data.
- Participate in the full ML lifecycle from experimentation evaluation and deployment to monitoring and retraining.
Qualifications Skills & Experience Required
- Bachelors or masters degree in computer science Data Science Machine Learning or related field (or equivalent work experience)
- 5 years of experience in applied machine learning or AI engineering with at least 2 years working on search NLP or information retrieval systems
- Strong experience with LLMs vector databases (e.g. Pinecone Weaviate Milvus OpenSearch vector search) and semantic search
- Proficiency in Python and ML frameworks such as PyTorch or TensorFlow
- Hands-on experience with embedding models transformers and RAG architectures
- Familiarity with keyword search engines (OpenSearch/Elasticsearch) and hybrid search strategies
- Experience designing and operating data ingestion and enrichment pipelines
- Strong knowledge of NLP techniques (entity recognition synonym handling taxonomy integration)
- Experience with CI/CD for ML/AI models model versioning and deployment
- Understanding of cloud platforms (AWS preferred) and containerization (Docker Kubernetes)
- Strong problem-solving skills and ability to work collaboratively in cross-functional teams
Nice to have
- Experience in biomedical or healthcare data search and retrieval
- Knowledge of eVOC or other domain-specific taxonomies
- Experience with multi-modal retrieval (text images structured data)
- Familiarity with conversational AI chatbot integration and user-facing NLP features
- Exposure to model monitoring tools and feedback loop systems
What we offer
- Exciting work in a great team global projects international environment
- Opportunity to learn and grow professionally within the company globally
- Hybrid working model flexible role pattern (e.g. even 80% full-time is possible in justified cases)
- Pension and health insurance contributions
- Internal reward system plus referral programme
- 5 weeks annual leave 5 sick days 15 days of certified sick leave paid above statutory requirements annually 40 paid hours annually for volunteering activities 12 weeks of parental contribution
- Cafeteria for tax free benefits according to your choice (meal vouchers Ltaka sport culture health travel etc.) Multisport Card
- Vodafone Raiffeisen Bank Foodora and discount programmes
- Up-to-date laptop and iPhone
- Parking in the garage showers refreshments massage chairs library music corner
- Competitive salary incentive pay and many more
Ready to take up the challenge Apply now!
Know anybody who might be interested Refer this job!
Current Employees apply HERE
Current Contingent Workers apply HERE
Search Firm Representatives Please Read Carefully
Merck & Co. Inc. Rahway NJ USA also known as Merck Sharp & Dohme LLC Rahway NJ USA does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place introductions are position specific. Please no phone calls or emails.
Employee Status:
RegularRelocation:
VISA Sponsorship:
Travel Requirements:
Flexible Work Arrangements:
HybridShift:
Valid Driving License:
Hazardous Material(s):
Required Skills:
Communication Computer Science Containerization Conversational AI Data Engineering Data Science Data Visualization Design Applications ElasticSearch Engineering Software Information Retrieval Natural Language Processing (NLP) OpenAI Professional Development Search Strategies Semantic Search SEVIS Social Collaboration Software Configurations Software Development Software Development Life Cycle (SDLC) Solution Architecture System Designs Systems Integration TestingPreferred Skills:
Job Posting End Date:
09/1/2025*A job posting is effective until 11:59:59PM on the day BEFOREthe listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
Required Experience:
Senior IC
Employment Type
Full-Time
