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Day 7
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AI & Data Engineer
Reads like a ML Engineer role: putting models into production.
Milano, Italy
Live, first seen by us 7 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingDesign and develop Generative AI and Agentic AI solutions with LangGraph and LangChain
Build Advanced RAG and document processing pipelines for complex business documents
Integrate and orchestrate on-premise LLMs within internal infrastructure with secure data handling
Design and develop ETL, data processing and machine learning solutions in Python
From the employer’s posting
Design and develop Generative AI and Agentic AI solutions, including multi-step workflows using LangGraph and LangChain.
Develop Advanced RAG and Document Processing pipelines for extracting and processing information from complex business documentation.
Integrate and orchestrate local/on-premise LLMs within internal infrastructure, ensuring secure and confidential data processing.
Design and develop ETL, data processing and Machine Learning solutions in Python, leveraging Pandas, NumPy and Scikit-learn.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 27, 20267 days ago
- Recorded sightings
- 23
- Last seen by us
- Nov 4, 2026
- Reposted
- once since Oct 9, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Scalian is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Hiring is picking up
- Takes jobs down at a usual pace
- 50% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- NumPy
- pandas
- scikit-learn
Where the posting names them
- Integrate and orchestrate local/on-premise LLMs within internal infrastructure, ensuring secure and confidential data processing. - Design and develop ETL, data processing and Machine Learning solutions in Python, leveraging Pandas, NumPy and Scikit-learn. Qualifiche
- Local LLM / On-Premise Integration: ability to orchestrate and integrate locally hosted/on-premise LLMs running on internal infrastructure, ensuring the confidentiality and security of sensitive contractual data. - ETL & Machine Learning (Python): strong proficiency in advanced Python, including Pandas, NumPy and Scikit-learn, for processing and transforming heterogeneous data and developing predictive and quantitative models. Soft skills:
Your next step
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
Descrizione del lavoro
Are you an AI & Data Engineer looking for a new challenge?
If you want to expand your reach and share your knowledge with a team of professionals, contribute to the development of your colleagues' or Clients' skills, want to consolidate your expertise and grow on innovative projects, this is your opportunity!
What this experience will bring you
First of all, an interesting technical challenge but also an overview of our Client's projects.
We will build your career together and accompany you towards the development of new skills and technical leadership.
What will your role be?
We are looking for an AI & Data Engineer to perform the following activities:
- Design and develop Generative AI and Agentic AI solutions, including multi-step workflows using LangGraph and LangChain.
- Develop Advanced RAG and Document Processing pipelines for extracting and processing information from complex business documentation.
- Integrate and orchestrate local/on-premise LLMs within internal infrastructure, ensuring secure and confidential data processing.
- Design and develop ETL, data processing and Machine Learning solutions in Python, leveraging Pandas, NumPy and Scikit-learn.
Qualifiche
What are we looking for in you? Experience and competencies
- Minimum 3 - 5 years of professional experience in Generative AI, Machine Learning, data engineering, or a closely related field, with hands-on experience designing and implementing AI-driven solutions.
- Generative AI & Agentic Workflows: proven experience in designing multi-step, stateful workflows using frameworks such as LangGraph and LangChain.
- Advanced RAG & Document Processing: experience implementing hybrid RAG pipelines for the ingestion and extraction of unstructured data from complex documentation, including contract PDFs, tender specifications and technical commissioning reports.
- Local LLM / On-Premise Integration: ability to orchestrate and integrate locally hosted/on-premise LLMs running on internal infrastructure, ensuring the confidentiality and security of sensitive contractual data.
- ETL & Machine Learning (Python): strong proficiency in advanced Python, including Pandas, NumPy and Scikit-learn, for processing and transforming heterogeneous data and developing predictive and quantitative models.
Soft skills:
- Problem solving
- Good communication skills
- Goal-oriented approach
- Self-Driven
- Proactive to solution
- Teamwork
Languages:
- Italian (Fluent)
- English (fluent, oral and written)
Informazioni aggiuntive
Why would you take the plunge?
Because Scalian is a group of specialists, carrying an ambitious development project, focused on innovation and committed to its customers where you can:
· Build a tailor-made career path, varied and adapted to your desires, thanks to the variety of missions in your area of expertise and the bridges between trades
· Learn by the quality of the projects on which you will intervene, in your specialty, and thanks to the large training catalog delivered by our internal Academy
· Have an attractive social framework that respects everyone's needs (telework agreement, crèches, social coverage, flexibility, soft mobility, etc.)
· Contribute to R&D topics or participate in internal projects
· Be part of a friendly team that will make work rhyme with pleasure!
So want to expand the frame? Contact us to talk about it
Descrizione dell'azienda
Who are we?
Human and technology to scale sustainable performance
Founded in 1989, Scalian is a French group with an international dimension, with offices in Europe and North America, specializing in business transformation through its dual mastery of business processes and digital technologies.
In the TOP10 engineering consulting companies in France, the Group is involved in service activities in the management of industrial projects, supply chain (costs, quality, deadlines, performance), architecture and development of embedded digital systems, computer systems applications. Information and Artificial Intelligence.
Scalian also deploys solutions for optimizing projects or the performance of organizations and responds to the challenges of transformation for leaders in industry and the tertiary sector (energy, transport, space, banking, health, environment, etc.)
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Milano, Italy
- Generative AI & Agentic Workflows: proven experience in designing multi-step, stateful workflows using frameworks such as LangGraph and LangChain. - Advanced RAG & Document Processing: experience implementing hybrid RAG pipelines for the ingestion and extraction of unstructured data from complex documentation, including contract PDFs, tender specifications and technical commissioning reports. - Local LLM / On-Premise Integration: ability to orchestrate and integrate locally hosted/on-premise LLMs running on internal infrastructure, ensuring the confidentiality and security of sensitive contractual data.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.