Likeremote

Subscribe to the latest remote jobs:

  • Likeremote jobs on https://LinkedIn.com/
  • Likeremote jobs on https://telegram.org/
  • Likeremote jobs on Reddit.com
WQ

Artificial Intelligence Engineer

wd1:quantiphi:careers_at_quantiphi
🇬🇧 United Kingdom
On-site
1 month ago
  • Excel
  • Machine Learning
  • GCP
  • AWS
  • Snowflake
  • AI/ML
  • AI
  • GKE
  • Gemini
  • Vertex AI
  • Python
  • Devops
  • MLOps
  • CI/CD
  • BigQuery
  • Cloud Run
  • ADK
  • RAG
  • Kubeflow
  • Docker
  • Kubernetes
  • Linux
  • Vector Search
Not scoredNo CV on file. Upload one and this job gets a score out of 100.Upload CV

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Quantiphi:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. 

Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate - we lead. 

Headquartered in Boston, with 4,000+ professionals across the globe. Quantiphi leverages Applied AI technologies across multiple a. Industry Verticals (Telco, BFSI, HCLS etc.) and is an established Elite/Premier Partner of NVIDIA, Google Cloud, AWS, Snowflake, and others. 

We’ve been recognized with:

  • 17x Google Cloud Partner of the Year awards in the last 8 years.

  • 3x AWS AI/ML award wins.

  • 3x NVIDIA Partner of the Year titles.

  • 2x Snowflake Partner of the Year awards.

  • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group.

  • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.

  • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. 

Your next big opportunity starts here!

For more details, visit: Websiteor LinkedIn Page.

Role - AI Engineer 

Location: Europe (Madrid, Spain preferred - travel to Spain customer site ideally once a month)

Language:  Fluency in both English and Spanish required

Required Skills and Experience: 

  • 5+ years of experience designing, developing, and deploying high-performance data platforms and agentic solutions.

  • Proven experience in designing cloud enterprise solutions and supporting customer projects through completion.

  • Strong proficiency in the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI).

  •  Advanced Python coding skills, including data structures, algorithms, and software design.

  •  Experience in automating infrastructure provisioning, DevOps/MLOps, and CI/CD.

  •  Google Cloud Professional ML Engineer certification.

Technical Skills

  • GCP Stack (Mandatory):

    • AlloyDB, Google Cloud Storage (GCS), Google Kubernetes Engine (GKE)

    • Gemini Enterprise, Agent Platform (formerly Vertex AI)

    • BigQuery, Cloud Run, Vertex AI Pipelines

  • Programming: Advanced Python skills including data structures, algorithms, and software design patterns.

  • Agentic AI: Hands-on experience with AI Agents, Agent Development Kit (ADK), multi-agent frameworks, and RAG integration.

  • MLOps/DevOps: Experience with Kubeflow, Docker, Kubernetes, and Linux environments.

  • CI/CD: Proficiency in building and managing continuous integration and deployment pipelines.

  • GenAI/LLM: Experience with LLMs, GenAI APIs, Model Garden, and GenAI Studio.

Good to Have

  • Experience with AlloyDB and enterprise database solutions.

  • Familiarity with PaLM embeddings and vector search technologies.

  • Exposure to multi-cloud environments.

  • Prior experience in healthcare, retail, or financial services domains.

  • Additional GCP certifications (e.g., Professional Cloud Architect, Data Engineer).

Certification

  • Google Cloud Professional Machine Learning Engineer certification(Good To have)

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Artificial Intelligence Engineer · wd1:quantiphi:careers_at_quantiphi

Auto apply with Likeremote