Quantiphi
AI
Reimagine business for the AI era, with AI-first digital engineering: We help enterprises reimagine and realize transformational opportunities that are core to their business.
Recrute actuellement
Quantiphi recrute-t-il ?
Oui. Au 2 octobre 2026, Quantiphi compte 131 postes ouverts sur Metaintro.
Postes ouverts
Les plus récents d’abord. Rémunération affichée lorsque l’offre l’indique.
- AWS Cloud Migration ArchitectDevOpsMassachusetts · TélétravailMassachusettsTélétravail—-4 j
- Senior Data EngineerDéveloppeurBengaluru +2Bengaluru +2——-4 j
- Technical Architect - MLIntelligence Artificielle/Apprentissage AutomatiquePrincetonPrinceton——-5 j
- Senior Client Solutions PartnerVentesTélétravail—Télétravail—-6 j
- Associate Engagement ManagerGestion de Produit/ProjetBengaluru +1Bengaluru +1——-6 j
- Facilities CoordinatorGestion des OpérationsFrederictonFredericton——-6 j
- System Specialist- WorkdayTechnologie GénéraleMumbaiMumbai——-11 j
- Senior Machine Learning Engineer - TraditionalIntelligence Artificielle/Apprentissage AutomatiqueBengaluru +1Bengaluru +1——-12 j
Dynamique de recrutement
À quel rythme Quantiphi ouvre des postes, et selon quel mode de travail.
Nouveaux postes par moisPostes publiés pour la première fois dans le mois
Modes de travail des postesPart des postes ouverts
Clients
Les 54 entreprises que Quantiphi cite comme clients.
Clients qui recrutent actuellement6
Études de cas16
- Alphonso
- CQ Roll Call
- Daily Harvest
- Cerevel Therapeutics
- Wake Forest Baptist Medical Center
- Wheels
- Emeritus Insights
- Chalo
- Prosight
- Johns Hopkins University
- Peek Travel
- EyecareLive
- Merck Group
- University of Miami Health System
- Penn State World Campus
- JM Bullion
Autres clients32
- Data Engineering, Daily Harvest
- Google Cloud
- Clinical Operations Oversight, Cerevel Therapeutics
- Snowflake Alliance and Global Head of Financial Services and Insurance at Quantiphi
- Text Analytics team at Merck Group
- Illinois Tech
- Google Cloud Function
- Google Cloud Dataflow
- Google Cloud Functions
- Cloud SQL
- Firestore
- Cloud Functions
- Cloud Run
- Document AI
- Google Analytics 360
- Google Cloud Platform
- periscope
- codeaira
- AdLingo
- Google Business Messages
- Dialogflow CX
- Django
- Python
- Google Data Studio
- Dialogflow
- Azure OpenAI services
- HuggingFace
- Qliksense
- BH
- Upper Grand
- Ides
- Wake Forest
Ce que disent leurs clients
Témoignages de personnes travaillant chez les clients de Quantiphi.
““We are satisfied with the insights provided regarding the risks of human cardiotoxicity. With the data now available, we are prepared to select the IND for further investment in our lead program.””
“Quantiphi’s ability to balance our requirements with their deep knowledge of GCP best practices enabled us to quickly gain confidence that we were building a robust, scalable system”
“At Google Cloud, we aim to provide best-in-class infrastructure to organize the world’s data. Across biotechnology firms, we have seen this pursuit unlock data sets that were previously unavailable to scientific teams and investigators. With the application of AI and machine learning technologies to documents, physician notes, electronic medical records, and other datasets, we believe companies like Cerevel will be one step closer to a more effective clinical trial environment and gain greater insight into patient care.”
“Google Cloud has proven to be a powerful platform for Cerevel as we unravel the mysteries of the brain to treat neuroscience diseases. We have combined Google Cloud’s technology, Quantiphi’s technical expertise in Artificial Intelligence, and Cerevel’s deep domain expertise to accelerate our Cloud and Digital Transformation strategy.”
“Cerevel is committed to execution excellence, and this collaboration and AI solution has given our teams greater insights into reporting across clinical workflows, allowing us to better manage our clinical trials with a focus on quality and compliance. Our teams are excited to add this tool to their arsenal and have already started evaluating additional AI capabilities to further support our mission to push boundaries, develop solutions and transform lives.”
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“By combining our expertise with Snowflake’s powerful data platform, we collaborated with Chalo to build a scalable and efficient data ecosystem. This showcases how strategic partnerships can drive innovation, optimize operations, and create smarter businesses for the future.”
“Our biggest challenge was migrating 3000+ queries from AWS Redshift to Snowflake while ensuring minimal disruption.”
“Assessing the relevance of animal studies in securing regulatory approval for biosimilars is gaining increasing importance. With regulatory agencies advocating for alternative methods to animal testing, innovative solutions—such as Transcell’s human Microphysiological Systems combined with Quantiphi’s AI and ML-driven in-silico modeling—offer promising avenues to create more predictive and effective scientific tools, ultimately protecting human and animal health as well as the environment.”
“It was a great experience collaborating with Quantiphi team which showcased their expertise in the area of NLP, machine learning, LLM and prompt engineering for problem statement in the engagement. The team was quite thorough in the experimentation as well as documenting the outcomes throughout the engagement. The team also has decent expertise in the area of managing the deliverables and provide consulting on potential ways forward. Thanks to entire team of Quantiphi for an insightful engagement.”
“We are thrilled to partner with Quantiphi and deploy our cloud-agnostic Upcycling Data capabilities to the Google Cloud and have a glide path to application deployment on the Google Marketplace. Clinical data is tremendously valuable but using it at scale requires complex standardization and transformation. Availity Fusion unleashes the full potential of clinical data across an enterprise organization. It transforms in real-time myriad data sources and formats into standard, fit-for-purpose data aligned with national healthcare data standards, including analytics-ready FHIR resources.”
“This system enabled us to streamline operations and better utilize our resources towards enhancing student support and academic excellence.”
Lancements et partenaires IA
Ce que Quantiphi a lancé et avec qui elle collabore en matière d’IA.
- RecherchePhi LabsPhi Labs is Quantiphi’s R&D powerhouse, driving next-generation AI innovation with real-world impact across generative AI, digital twins, life sciences, and quantum computing.
Compétences recherchées
Les plus fréquentes dans les offres ouvertes.
Compétences les plus demandées
- Python
- CI/CD
- Kubernetes
- Terraform
- SQL
- AWS
- Observability
- FastAPI
- Git
- GCP
- Docker
- Java
Stack technique
- Analytique
- Hotjar
- Segment
- Google Tag Manager
- Google Analytics 4
- Frameworks
- Next.js
- CMS
- HubSpot CMS
- WordPress
- Bibliothèques
- Tailwind CSS
- Font Awesome
- Bootstrap
- Sécurité
- CookieYes
- Marketing
- HubSpot
Fiche entreprise
- Fondée en
- 2013
- Secteur
- AI
- Secteur (NAICS)
- Services professionnels, scientifiques et techniques
- Entreprise similaire
- Percepta
- Site web
- quantiphi.com
- Carrières
- quantiphi.com/careers
Postes par lieu
Où Quantiphi recrute. Choisissez une ville pour voir ses postes.
Entreprises similaires
Entreprises du même secteur que Quantiphi qui recrutent en ce moment.
Questions sur Quantiphi
- Quantiphi recrute-t-il ?
- Oui. Au 2 octobre 2026, Quantiphi compte 131 postes ouverts sur Metaintro. La plupart se concentrent dans Developer (37), Artificial Intelligence/Machine Learning (27) et DevOps (10).
- Où Quantiphi recrute-t-elle ?
- Quantiphi recrute à Mumbai, Bengaluru, Thiruvananthapuram, United States, Canada et Fredericton, avec le plus de postes ouverts à Mumbai.
- Quantiphi propose-t-elle le télétravail ou le travail hybride ?
- 26 % des postes ouverts sont en hybride et 18 % en télétravail.
- Qui sont les clients de Quantiphi ?
- Quantiphi cite 54 clients, dont Salesforce, Docker, Appsflyer, Apollo et Availity.
- Quelles compétences Quantiphi recherche-t-elle ?
- Ses postes ouverts demandent le plus souvent Python, CI/CD, Kubernetes, Terraform et SQL.