Description review
B2B AI & Machine Learning Engineers*
IWConnect · Remote · back to the listing
HR standards
44/100
poor
Title ↔ description
72/100
solid
Reads as
Machine Learning Engineer
99% confident
What this role officially is
data scientist — ESCO, the EU occupation classification
Data scientists find and interpret rich data sources, manage large amounts of data, merge data sources, ensure consistency of data-sets, and create visualisations to aid in understanding data. They build mathematical models using data, present and communicate data insights and findings to specialists and scientists in their team and if required, to a non-expert audience, and recommend ways to apply the data.
Also known as: data scientists, data engineer, research data scientist, data expert, data research scientist
How others title the same work
Large employers
- Applied AI Engineer Automattic
- Machine Learning Engineer, CX Intelligence Coinbase
- AI Engineer - FDE (Forward Deployed Engineer) Databricks
- AI Engineer - FDE (Forward Deployed Engineer) - U.S. Federal Sector Databricks
- Senior AI Engineer – Notebooks Datadog
Startups
- Attendi | Medior Machine Learning Engineer | Amsterdam, Netherlands | ONSITE (hybrid) | €6,000 - €7,000 per month | Full-time (80–100%, ~4–5 days/week) | Visa sponsorship + 30% ruling possible Attendi
- Member of Technical Staff (applied) Anthrogen
- Aptura AI | Full-Time | MTS (Applied AI), MTS (SWE / Product) | London | ONSITE / HYBRID Aptura AI
- Arcforma AI (arcforma.ai) | AI Engineer (Marketing / Construction / Arcforma AI (arcforma.ai)
- Staff AI Engineer - Agent Architecture & Behavior Artisan
What the listing never says
- No section describes what the person would actually do. Scope clarity
- No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency
The listing, marked up
Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.
We are expanding our B2B consultant network with AI & Machine Learning Engineers (Python, Cloud, Git, RAG, MLOps) experienced in machine learning, applied AI solutions, and intelligent system development.
Engagements may involve model development, AI integration into existing systems, optimization of ML pipelines, and applied generative AI (GenAI) use cases.
If you are an independent AI professional open to flexible project-based work, we would be glad to stay connected.
We are continuously building our network of experienced B2B consultants and contractors across various technology domains.
By applying to this talent pool, you are expressing interest in future project-based collaborations with our team. When a suitable opportunity aligned with your expertise becomes available, we will reach out to discuss potential engagement.
Please note:These opportunities are exclusively for independent consultants and B2B contractors (freelance / company-to-company cooperation), and full-time employment roles.
If you are open to flexible, project-driven collaboration, we would be glad to stay connected.
Originally posted on Himalayas
Engagements may involve model development, AI integration into existing systems, optimization of ML pipelines, and applied generative AI (GenAI) use cases.
If you are an independent AI professional open to flexible project-based work, we would be glad to stay connected.
We are continuously building our network of experienced B2B consultants and contractors across various technology domains.
By applying to this talent pool, you are expressing interest in future project-based collaborations with our team. When a suitable opportunity aligned with your expertise becomes available, we will reach out to discuss potential engagement.
Please note:These opportunities are exclusively for independent consultants and B2B contractors (freelance / company-to-company cooperation), and full-time employment roles.
If you are open to flexible, project-driven collaboration, we would be glad to stay connected.
Originally posted on Himalayas