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Senior AI Engineer (m/f/d)

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Appinio

12d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Hamburg
    Remote

AI generated summary

  • You should have a strong data science background, experience in GenAI and LLMs, proficiency in Python and AWS, and a proactive problem-solving mindset in a collaborative environment.
  • You will develop ML prototypes, manage MLOps pipelines, automate processes, conduct AI workshops, and collaborate on AI solutions with teams to enhance productivity and workflows.

Requirements

  • You will thrive in this role if
  • You often take the initiative and seek ownership of your work
  • You are a proactive problem solver, always seeking innovative solutions and continuously improving processes
  • You have a strong foundation in data science and experience working on projects involving tabular data and unstructured data.
  • You are experienced working in GenAI projects and especially LLMs.
  • You have experience with Python and AWS services (serverless architectures, SageMaker, Bedrock…)
  • Node.js and JavaScript are beneficial, but not a must
  • You thrive in a collaborative environment, valuing team input and ensuring alignment with project goals

Responsibilities

  • Develop prototypes using new technologies and in-production microservices leveraging ML and LLMs for the market research domain.
  • Create and manage robust MLOps pipelines to automate model training, validation, deployment, monitoring, and retraining.
  • Automate business processes using microservices and no-code platforms like Zapier.
  • Conducting and supporting AI workshops across different teams in the company as well as gathering AI use cases that could help them increase their productivity.
  • Collaborate closely with the SpecialOps team to identify AI-driven solutions and integrate them into business workflows.

FAQs

Do we support remote work?

Yes, we are a remote-first company, allowing flexibility in where you work.

What is the role's focus as a Senior AI Engineer?

The role focuses on developing prototypes, creating MLOps pipelines, automating business processes, and integrating AI-driven solutions into business workflows.

What technologies will I be working with in this position?

You will be working with machine learning, large language models (LLMs), Python, AWS services, and potentially Node.js and JavaScript.

Is experience with GenAI and LLMs required?

Yes, experience with Generative AI projects and LLMs is important for this role.

What kind of team will I be collaborating with?

You will be collaborating closely with the Special Ops team and other teams across the company to identify AI use cases and integrate solutions.

What are the vacation policies?

We have a flexibility policy with no hard cap on the number of vacation days you can take.

Are there any benefits for employees working in certain cities?

Yes, if you're located in Hamburg or Berlin, you'll receive a Deutschland ticket or a mobility budget. Additionally, employees in certain cities can access co-working spaces.

Can I apply if I don’t meet all the qualifications?

Yes, we encourage you to apply even if you consider yourself an 80% fit, as we value passion and enthusiasm for the position.

Will I receive the necessary hardware for my role?

Yes, you will receive all the hardware you need, including your own MacBook.

Is Appinio an equal-opportunity employer?

Yes, Appinio is an equal-opportunity employer, and all applicants will be considered without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

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Appinio

Real-time market research for when you need answers. Fast.

Technology
Industry
51-200
Employees
2014
Founded Year

Mission & Purpose

At Appinio, we help companies always make the right decisions through real-time market research. As the world’s largest opinion network, every day we collect millions of responses from consumers to allow our clients to move from questions to insights in minutes. Over 2000 companies worldwide rely on us to understand how their consumers think.