EasyVista

About the Company

EasyVista is a leading IT software provider delivering comprehensive IT solutions, including service management, remote support, IT monitoring, and self-healing technologies. We empower companies to embrace a customer-focused, proactive, and predictive approach to IT service, support, and operations.

EasyVista is dedicated to understanding and exceeding customer expectations, ensuring seamless and superior IT experiences.

Today, EasyVista supports more than 3,000 companies worldwide in accelerating digital transformation, enhancing employee productivity, reducing operating costs, and boosting satisfaction for both employees and customers across various industries, including financial services, healthcare, education, and manufacturing.

For more information, visit www.easyvista.com, and follow us.

Listed Jobs

Company Name

EasyVista

Job Title

Support Engineer - ITOM H/F

Job Description

**Job Title**: Support Engineer – ITOM **Role Summary**: Provide first‑line technical and functional support for the EV Observe product, ensuring customer satisfaction and product reliability. Manage incidents from detection to resolution, contribute to knowledge base development, and translate customer needs into product enhancements. **Expectations**: - Deliver timely, accurate support and documentation. - Consistently meet or exceed defined service level targets. - Rigorously follow internal procedures and security standards. - Communicate clearly in French, English, and Spanish (written and spoken). **Key Responsibilities**: - Analyze and resolve incidents covering technical (data collection, platform operation, database issues) and functional (user guidance) aspects. - Log and track incidents, providing status updates and final resolution. - Enrich the product knowledge base with new findings and troubleshooting steps. - Identify recurring issues, propose solutions, and collaborate with product teams to drive improvements. - Produce technical and functional specifications to translate customer requirements into product features. - Modify and deploy lightweight changes to collection scripts; manage phased roll‑outs. - Support a SaaS platform built on BigData technologies and hybrid infrastructures. - Share best practices and lessons learned within the support organization. **Required Skills**: - 5+ years of experience as an ITOM Support Engineer or in equivalent technical support role. - Proficient in Linux command line operations. - Strong network troubleshooting and Windows systems administration skills. - Advanced SQL query writing and database problem‑solving. - Scripting proficiency: Perl, PowerShell, and Linux shell scripting. - Experience with SaaS platforms, hybrid infrastructures, and enterprise‑grade IT environments. - Excellent written and verbal communication in French, English, and Spanish. - Ability to apply procedures with precision and maintain thorough documentation. - Curiosity and willingness to learn emerging technologies. **Required Education & Certifications**: - Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent professional experience). - Relevant certifications (e.g., ITIL Foundation) are desirable.

Grenoble, France

On site

Mid level

30-12-2025

Company Name

EasyVista

Job Title

Stage M2-Data science – SLA prevision with TS and LLMs

Job Description

**Job Title:** Data Science Intern – SLA Prediction (Time Series & LLMs) **Role Summary:** A 6‑month graduate internship focused on research and engineering of Service Level Agreement (SLA) prediction models. The role blends generative Large Language Models (LLMs) with discriminative time‑series forecasting and classification to evaluate accuracy, coverage, and production feasibility. The intern will design, benchmark, and propose innovative methods, culminating in technical reporting and stakeholder presentations within an Agile environment. **Expectations:** - Conduct comprehensive literature reviews on LLMs and time‑series prediction techniques. - Define and implement evaluation metrics and benchmarks. - Develop and assess novel predictive methods, comparing them to existing state‑of‑the‑art models. - Produce analytic reports, interpret results, and communicate findings to cross‑functional teams. - Deliver a final written report and present results to internal stakeholders. - Engage in Agile practices (sprint planning, stand‑ups, retrospectives) and maintain clean, version‑controlled code. **Key Responsibilities:** - Perform state‑of‑the‑art research on LLMs and time‑series forecasting frameworks. - Design a robust benchmarking methodology for SLA prediction evaluation. - Engineer and prototype a new predictive approach integrating NLP and statistical models. - Conduct rigorous benchmarking against baseline models and other proposed solutions. - Analyze performance metrics, interpret results, and identify actionable insights. - Draft a comprehensive final report detailing methodology, experiments, and outcomes. - Present findings and defend methodology in internal review sessions. - Collaborate with product, AI, and engineering teams to ensure reproducibility and scalability. - Apply Agile workflow, deliver incremental progress, and adhere to unit testing and version control standards. **Required Skills:** - Strong foundation in Machine Learning concepts (supervised, unsupervised, deep learning). - Expertise in time‑series forecasting and classification methods. - Familiarity with natural language processing techniques and LLM usage. - Proficiency in Python (pandas, numpy, scikit‑learn, PyTorch/TensorFlow, HuggingFace). - Experience designing and implementing analytic or predictive models in a distributed or production‑ready environment. - Solid understanding of statistical and mathematical modeling. - Knowledge of Agile methodologies, unit testing, Git, CI/CD pipelines. - Ability to conduct literature reviews and synthesize technical findings. - Strong written and verbal communication for reporting and presentation. **Required Education & Certifications:** - Current M2 (Master’s) student or recent graduate in Computer Science, Data Science, Statistics, or related field with a focus on machine learning or artificial intelligence. - Coursework covering machine learning, deep learning, natural language processing, and time‑series analysis. - Familiarity with industrial data‑science pipelines and large‑scale data processing is preferred. - Certifications in relevant ML or data‑science platforms (e.g., TensorFlow Professional, Microsoft Certified: Azure AI Engineer) are a plus but not mandatory.

Grenoble, France

Hybrid

03-02-2026