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ML6

Senior AI Engineer

ML6 is hiring a Senior AI Engineer. Level rates it ; you can apply on ML6.

Level's read on this job

  • Level rates this AI engineer role Builds AI ●●●●: the job is building AI systems.
  • Some of the work can be done remotely, according to the posting.
  • The posting mentions Python, AWS and Google Cloud among its tools and skills.
  • Level classes it as a senior role.
  • ML6 has 13 other open roles on Level.

AI in this role

Design, build, and deploy end-to-end AI and generative AI solutions in production as a technical lead.

PythonAWSGoogle CloudAzure
ml-opsmachine-learningmlopsgenerative-aici-cdarchitecture

Stop building AI that never meets production. Build systems that actually make impact. Most AI roles stop at tweaking models or working on proof-of-concepts. Yours won’t.

At ML6, you design, build, and deploy AI solutions that are used in production at companies like ASML, Bolt Energie and Randstad.

WHAT'S IN IT FOR YOU

  • Take up a tech lead role on a per-project basis

  • Work end-to-end: from data to production

  • See your solutions live in real-world environments

  • Combine AI, software engineering, and business impact

  • High ownership and autonomy in your work

  • Collaborate with smart, driven engineers

THE IMPACT YOU MAKE

You are more than an engineer. You are a Tech Lead, builder, and consultant in one.

  • Design and build end-to-end AI solutions

  • Take systems from idea to production deployment

  • Make architecture decisions and ensure scalability

  • Lead teams of engineers

  • Translate business challenges into technical solutions

  • Work with Python, ML frameworks, GenAI, and cloud (AWS/GCP/Azure)

  • Build scalable systems using MLOps and CI/CD

  • Lend your technical expertise to client conversations to succesful start new opportunities

Time allocation: 70% client project work + 30% research, internal (domain) work and more
Note that ML6 is not an outsourcing firm, Our agents work on projects together with a team of colleagues.

WHAT YOU BRING

  • 4+ years of working experience as a software, ML or AI engineer

  • Proven track record in delivering end-to-end solutions (to production)

  • Experience with cloud platforms (AWS, GCP, or Azure)

  • Experience leading projects or small technical teams

  • Strong communication skills (technical and non-technical) in English

  • Familiarity with MLOps principles and a passion for building robust, scalable systems

WHY JOINING ML6

At ML6, our 'people first' culture is how we bring innovation to life. We've built a place where we truly love working, and we think you will too. Here’s what you can expect:

  • Lead with Impact: Your work will directly deliver value to our clients and contribute to positive change

  • Growth & Learning: We invest in your development with opportunities to work on diverse, challenging projects. We plan yearly growth evaluations where senior is not the end. You can grow into a Principal Engineer, Squad Lead, Office of the CTO, or specialize in your domain.

  • A Culture of Trust: Thrive in an inclusive environment built on trust and transparent communication, where every voice is heard and valued. We have a hybrid working setup with lots of autonomy.

  • Rewarding You: We offer an attractive salary package and an optimised benefits program that reflects your expertise and impact. We will share the specific ranges transparently at the beginning of the process. You can already view our rewarding philosophy and offerings here.

How we rate this

Senior AI Engineer at ML6 rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsMachine learningMLOpsGenerative AICI/CDArchitecturePythonAWS

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. How do you monitor a model once it's live, and how do you know it needs retraining?
  2. Tell me about a project where machine learning was part of your work. What did you do?
  3. Tell me about a project where mlops was part of your work. What did you do?
  4. Tell me about a project where generative ai was part of your work. What did you do?
  5. Tell me about a project where ci/cd was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: ML Ops, Machine learning, MLOps, Generative AI, and CI/CD. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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