Your personal AI career agent
Designing and building generative AI solutions and ML pipelines for digital industry clients. Master's degree and 2-4 years ML engineering experience required. Company shares and Deutschlandticket.
Requirements
- Master's Degree in Engineering or Technology
- Verbal and written English fluency
- 2–4 years full-time work experience in ML engineering or applied AI
- Experience in agile product or delivery teams post-Master's
- Strong hands-on experience with full ML lifecycle
- Practical experience building/deploying on major cloud platforms
- Hands-on experience with LLMs and generative AI
- Experience with MLOps practices and tools
- Proficiency in Python and ML/AI frameworks
- Ability to collaborate with diverse stakeholders
- Experience designing agentic AI systems
- Depth in responsible AI and governance
- Experience fine-tuning foundation models
- Familiarity with vector databases and semantic search
- Background in NLP, computer vision, or time-series forecasting
- Experience with data and AI platform architecture
Tasks
- Design and build robust AI systems
- Develop machine learning pipelines
- Create generative AI solutions
- Establish technical foundations for AI value extraction
- Work as an ML engineer, AI architect, or strategic advisor
- Operationalise AI systems across the full stack
- Build data pipelines and perform feature engineering
- Develop LLM applications and RAG pipelines
- Implement agentic workflows
- Apply MLOps practices for reliable model deployment
- Guide clients on build versus buy decisions
- Select appropriate AI models
- Promote responsible AI practices
- Facilitate organisational change for AI adoption
- Mentor junior colleagues
- Contribute to engagement quality
- Build client trust and presence
- Participate in Netlight's thought leadership
- Share knowledge internally
- Publish external content
- Coach colleagues in their AI journey
Work Experience
- 2 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- SageMaker
- Vertex AI
- Azure ML
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- pgvector
- Qdrant
Benefits
Competitive Pay
- Company shares
Public Transport Subsidies
- Deutschlandticket
Generous Parental Leave
- Parental benefits
Mentorship & Coaching
- Mentor
- Professional coach
Informal Culture
- International and diverse working environment
- Knowledge sharing culture
- Trust and personal responsibility
Modern Office
- Central and modern office space
Diverse Work
- Flexible client and role selection
- Challenging opportunities
Modern Equipment
- Access to Edge network
Other Benefits
- Support for Data & AI thought leadership
- Diverse, equitable, and inclusive organization
Learning & Development
- Personal development opportunities
Like this job?
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Designing and building generative AI solutions and ML pipelines for digital industry clients. Master's degree and 2-4 years ML engineering experience required. Company shares and Deutschlandticket.
Requirements
- Master's Degree in Engineering or Technology
- Verbal and written English fluency
- 2–4 years full-time work experience in ML engineering or applied AI
- Experience in agile product or delivery teams post-Master's
- Strong hands-on experience with full ML lifecycle
- Practical experience building/deploying on major cloud platforms
- Hands-on experience with LLMs and generative AI
- Experience with MLOps practices and tools
- Proficiency in Python and ML/AI frameworks
- Ability to collaborate with diverse stakeholders
- Experience designing agentic AI systems
- Depth in responsible AI and governance
- Experience fine-tuning foundation models
- Familiarity with vector databases and semantic search
- Background in NLP, computer vision, or time-series forecasting
- Experience with data and AI platform architecture
Tasks
- Design and build robust AI systems
- Develop machine learning pipelines
- Create generative AI solutions
- Establish technical foundations for AI value extraction
- Work as an ML engineer, AI architect, or strategic advisor
- Operationalise AI systems across the full stack
- Build data pipelines and perform feature engineering
- Develop LLM applications and RAG pipelines
- Implement agentic workflows
- Apply MLOps practices for reliable model deployment
- Guide clients on build versus buy decisions
- Select appropriate AI models
- Promote responsible AI practices
- Facilitate organisational change for AI adoption
- Mentor junior colleagues
- Contribute to engagement quality
- Build client trust and presence
- Participate in Netlight's thought leadership
- Share knowledge internally
- Publish external content
- Coach colleagues in their AI journey
Work Experience
- 2 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AWS
- Azure
- GCP
- SageMaker
- Vertex AI
- Azure ML
- PyTorch
- TensorFlow
- Hugging Face
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- pgvector
- Qdrant
Benefits
Competitive Pay
- Company shares
Public Transport Subsidies
- Deutschlandticket
Generous Parental Leave
- Parental benefits
Mentorship & Coaching
- Mentor
- Professional coach
Informal Culture
- International and diverse working environment
- Knowledge sharing culture
- Trust and personal responsibility
Modern Office
- Central and modern office space
Diverse Work
- Flexible client and role selection
- Challenging opportunities
Modern Equipment
- Access to Edge network
Other Benefits
- Support for Data & AI thought leadership
- Diverse, equitable, and inclusive organization
Learning & Development
- Personal development opportunities
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Netlight
Industry
Consulting
Description
The company relies on people to lead in digitalisation, fostering trust and responsibility with a focus on personal development.
Not a perfect match?
- SumUp
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