Data Science Consultant (AI/ML)
Data Science Consultant (AI/ML)
Data Science Consultant (AI/ML)
Data Science Consultant (AI/ML)
Ingenics AG
Beratung, Consulting
Wolfsburg
- Art der Beschäftigung: Vollzeit
- 66.000 € – 90.500 € (von XING geschätzt)
- Vor Ort
- Zu den Ersten gehören
Data Science Consultant (AI/ML)
Über diesen Job
Data Science Consultant (AI/ML)
Genai
1 month ago
Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Job location
Tech stack
Artificial Intelligence
Artificial Neural Networks
Python
Machine Learning
Open Source Technology
Large Language Models
Random Forest
Prompt Engineering
Generative AI
Machine Learning Operations
Job description
- Deliver end-to-end Generative/Agentic AI solutions for enterprise customers, managing the full lifecycle from problem definition, data preparation, model development, deployment, and monitoring.
- Build custom AI/ML agents and applications, designing innovative, verticalized use cases across banking, finance, insurance, retail, healthcare, and manufacturing.
- Guide customers through their GenAI journey, focusing on LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to specific business needs.
- Apply expertise in hybrid AI solutions, combining predictive AI algorithms (e.g., regression, time-series forecasting, anomaly detection) with Generative AI techniques.
- Conduct customer enablement programs, including hands-on training sessions, workshops, and hackathons, to boost AI adoption among technical and executive stakeholders.
- Translate complex technical outputs into clear business impact narratives, advising non-technical leaders on the value and risks of AI adoption.
- Collaborate with internal R&D teams to enhance the Company GenAI/ML technology stack and contribute to reusable assets, best practices, and industry accelerators.
Requirements
5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.
Strong expertise in LLMs and GenAI: practical experience with fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific custom LLM solutions.
Experience with a wide range of predictive AI algorithms (e.g., GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting).
Demonstrated ability to design and deliver training, workshops, and customer enablement programs for diverse stakeholders.
Hands-on experience or demonstrably similar advanced AutoML/ML platforms.
Proficiency in Python (preferred) and industry-standard data science/ML libraries and frameworks.
Familiarity with MLOps and production monitoring tools.
Excellent customer-facing and communication skills: proven ability to engage with and clearly articulate technical concepts to both technical and executive audiences.
Strong problem-solving skills and the ability to work independently in dynamic, customer-driven environments.
Singaporeans ONLY, * Prior experience in building AI/ML agents and Generative AI applications for specific industry use cases.
Demonstrated thought leadership in AI (e.g., published technical blogs, conference talks, or significant open-source contributions).
Experience leading AI hackathons, bootcamps, or innovation workshops with enterprise customers.
Familiarity with the demands of enterprise-grade AI solutioning related to security, governance, scalability, and regulatory compliance.