招聘
必备技能
Python
AWS
Docker
Machine Learning
Job Description:
The Position
We are looking for an AI Engineer. Our team supports the business areas: research and development, manufacturing, supply chain, commercial and animal monitoring thought data science and AI delivery. This role allows you to work on impactful AI products and collaborate with AI engineers, data scientists, building a community that learns, challenges, and inspires each other. Our team is shaping the Data Science and AI strategy, serves as a DS and AI community facilitator and helps non-technical colleagues to mature their understanding of DS and AI.
What will you do?
-
Write efficient and maintainable code following best practices in software engineering.
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Working with Dev Sec Ops tools for deploying and versioning code.
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Select appropriate retrieval techniques, language models, and generative AI methodologies.
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Continuously iterate and refine retrieval augmented generation (RAG) methods and processes based on experimentation, analysis, and feedback.
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Document AI models, algorithms, and processes thoroughly.
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Prepare technical reports and presentations to communicate results and methodologies.
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Stay up to date with the latest advancements in AI and machine learning technologies.
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Participate in Agile ceremonies with the team to execute on prioritized projects and features.
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Implement automated testing and monitoring techniques to ensure the accuracy and reliability of AI systems.
Qualifications, Skills & Experience Required
-
Bachelors or Masters in Artificial Intelligence, Machine Learning, or Computer Science is highly preferred, but qualifications in other quantitative disciplines are appreciated as well
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2+ years of experience in AI Engineering
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Strong communication and collaboration skills
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Strong programming skills in Python
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Must be analytical, detail-oriented, and able to balance multiple projects simultaneously
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Familiarity with building scalable AI Solutions within a modern technology stack which includes cloud services, data pipelines, database, and other necessary tooling
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Familiarity with CI/CD and test-driven development
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Familiarity with building Restful APIs for AI models
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Familiarity with of machine learning concepts (i.e. neural networks, optimization algorithms, evaluation metrics)
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Familiarity with Retrieval Augmented Generation (RAG) techniques
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Familiarity with prompt engineering techniques, such as instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies
Nice to have
-
Experience with AWS Cloud
-
Experience working in an Agile Methodology
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Demonstrated experience in developing and refining prompts for generative AI models, preferably in creative or text generation domains
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Experience with building, deploying, and managing docker images
What we offer
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Exciting work in a great team, global projects, international environment
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Opportunity to learn and grow professionally within the company globally
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Hybrid working model, flexible role pattern (e.g., even 80% full-time is possible in justified cases)
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Pension and health insurance contributions
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Internal reward system plus referral programme
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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
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Cafeteria for tax free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card
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Vodafone, Raiffeisen Bank and Foodora discount programmes
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Up-to-date laptop and i Phone
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Parking in the garage, showers, refreshments, massage chairs, library, music corner
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Competitive salary, incentive pay, and many more
Ready to take up the challenge? Apply now!Know anybody who might be interested? Refer this job!
#AHIT2024
#AHIT2025
Required Skills:
Accountability, Agile Methodology, Amazon Web Services (AWS), Animal Science, Automated Testing, Best Practices Research, Collaborative Communications, Computer Science, Data Engineering, Data Pipelines, Data Science, Design Applications, Generative AI, Information Security, Machine Learning (ML), Neural Networks, Project Prioritization, Python (Programming Language), Research and Development, Software Development, Software Development Life Cycle (SDLC), System Designs, System Integration, Testing
Preferred Skills:
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:
Regular
Relocation:
Domestic
VISA Sponsorship:
No
Travel Requirements:
No Travel Required:
Flexible Work Arrangements:
Hybrid
Shift:
Not Indicated
Valid Driving License:
No
Hazardous Material(s):
n/a
Job Posting End Date:
04/6/2026
A job posting is effective until 11: 59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.
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关于Merck

Merck
PublicMultinational pharmaceutical company.
10,001+
员工数
Rahway
总部位置
$208B
企业估值
评价
4.3
10条评价
工作生活平衡
4.0
薪酬
3.5
企业文化
4.2
职业发展
3.8
管理层
4.0
78%
推荐给朋友
优点
Supportive management and colleagues
Good work-life balance and flexibility
Excellent benefits and health plans
缺点
High-pressure and demanding work environment
Limited career advancement opportunities
Below-average pay for entry-level positions
薪资范围
2,504个数据点
Junior/L3
Senior/L5
Director
Junior/L3 · Data Scientist
0份报告
$146,595
年薪总额
基本工资
-
股票
-
奖金
-
$124,607
$168,583
面试经验
6次面试
难度
3.0
/ 5
时长
14-28周
录用率
17%
体验
正面 0%
中性 67%
负面 33%
面试流程
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
Panel Interview
5
Background Check
6
Offer
常见问题
Behavioral/STAR
Past Experience
Technical Knowledge
Culture Fit
Case Study
新闻动 态
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Oncodaily
News
·
2d ago
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Yahoo Finance
News
·
3d ago
Better Pharma Dividend Stock: Novartis vs. Merck - The Motley Fool
The Motley Fool
News
·
3d ago
AACR: Merck unveils PD-1xVEGF bispecific data in NSCLC, remains tight-lipped on phase 3 plans - Fierce Biotech
Fierce Biotech
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·
3d ago