Monitor the platform around the clock, respond to alerts, troubleshoot, fix and restore service while implementing security controls and managing architecture.
Responsibilities
Monitor the platform around the clock, respond to alerts, troubleshoot, fix and restore service
Handle emergencies inside or outside office hours, and turn around any report the client asks
Patch, harden and run regular vulnerability reviews on every component; keep endpoint protection compatible
Implement and operate the security controls: identity and access with MFA, RBAC and single sign-on; encryption everywhere; separated dev, test and production; signed and verified automation code; file-type whitelisting; mobile-device restrictions
Run security logging, audit logs and the SIEM integration; protect logs from tampering
En tant que Data Ingénieur-e (F/H), vous accompagnez les clients sur leurs sites de Tours et de la Région Parisienne dans le cadre de projets critiques et dimensionnants.
Locations (2)
Tours, Centre-de-France, France
Vélizy, Ile-de-France, France
Responsibilities
Développer des solutions ETL sur des outils comme Talend, Dataiku ou Apache NiFi.
Apporter une expertise bases de données relationnelles (PostgreSQL, Oracle...) et NoSQL, cartographier des donnés
Analyser la donnée pour faciliter la prise de décision
Garantir la qualité de la donnée
Assister nos clients dans l’intégration de leurs systèmes Data et IA de gestion, valorisation et sécurisation de la donnée sur son cycle de vie.
Requirements
Bac+5 en informatique (École d'ingénieur ou Master)
Nice to have: DevOps
Nice to have: Ansible
Nice to have: K8s
Nice to have: GCP
G
STAGE - ASSISTANT / ASSISTANTE DATA ANALYST - (F/H/X)
As a Data Consultant in Brussels, you will contribute to the growth of mc2i in Belgium and work with a major client – a key player in the energy sector – on strategic projects.
Responsibilities
Analysis and Design
Gathering and analyzing stakeholder needs
Identifying and benchmarking solutions that meet the needs
Evaluating the impact of the proposed solution on the user process and system maintenance
A Customer Success Lead Data Scientist with Energy Industry expertise to drive long-term customer success for a portfolio of clients, achieving high adoption, retention, and satisfaction through a trusted advisor role.
Locations (2)
Houston, Texas, United States
Colorado, United States
Responsibilities
Use Spotfire and data science skills to collaborate with customers, translating business objectives into actionable success plans.
Develop a deep understanding of industry analytics use cases.
Manage customer success plans including onboarding, adoption, monitoring support, managing upgrades, enabling new features, and establishing a center of excellence.
Build consultative relationships and act as a trusted advisor through regular customer health assessments.
Perform and guide R&D topics in the field of applied machine learning and AI.
Lead manufacturing engineering initiatives, including NPI, digital manufacturing, AI/ML, and process optimization at Caterpillar’s manufacturing facility.
Responsibilities
Provide technical expertise in manufacturing processes and systems
Design and implement manufacturing systems and advanced tooling
Lead NPI and digital manufacturing initiatives
Develop and deploy data-driven manufacturing solutions using MES, IIoT, and Power BI
Drive AI/ML initiatives for predictive maintenance and quality prediction
Requirements
Bachelor's Degree in Mechanical Engineering
Nice to have: Master’s degree in Mechanical Engineering
Nice to have: Experience in AI initiatives in manufacturing environment
Nice to have: Experience in Internet of Things (IOT) and Industry 4.0 concepts
Nice to have: Experience with Dataiku, Sidekick and other AI Platforms
Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors throughout the product development life cycle.
Responsibilities
Research, design, develop, and support software driven system level test (SLT) solutions for datacenter server processors.
Develop, debug, and enhance test software, automation frameworks, data analysis pipelines, and system level characterization flows.
Research, design, develop, and improve system level test (SLT) software, test programs, and characterization flows for datacenter server processors.
Develop and extend software based characterization and screening workflows using existing SLT test content and automated test algorithms.
Analyze post-silicon characterization and manufacturing data using statistical techniques.
Requirements
Master’s degree or foreign equivalent in Computer Science
Sr. Product Development EngineerAdvanced Micro Devices, Inc · Austin, US