Llmops Devops Engineer Intern jobs at Dell in Slovakia, Bratislava

You will:

• Support the development of prompt and agentic workflows, machine learning models, and automation experiments by collaborating with experienced team members. Contribute to building insights dashboards and learn about deploying models and workflows to production environments.

• Assist in creating scalable solutions that span multiple geographies, while learning how to balance performance and customer experience in real-world applications.

• Work closely with industry-leading professionals in a collaborative environment, gaining hands-on experience and mentorship to help you grow and explore your own path.

• Explore open-source technologies and contribute to innovative, scalable solutions. Be encouraged to think creatively and flexibly as you apply AI/ML methodologies to real-world problem statements.

• Contribute to improving algorithms and enhancing customer experience, learning how to deliver the right product, message, and timing through data-driven insights and experimentation.

Essential Requirements

• Daily University student in the field of Artificial Intelligence, Statistics, Computer Science, Mathematics or other related areas.

• Knowledge of predictive modeling and / or Agentic AI, LLMs.

• Knowledge of Python and SQL (especially on data wrangling, analysis, and modeling) plus code versioning tools like Git.

• Problem solving, analytic skills, and written and oral English communication skills

• Curiosity and interest in Gen AI, LLMs, NLP

Desirable Requirements

• Familiarity with State Of The Art techniques and models in the AI space

• Familiarity on the theory around standard ML methods is a plus: e.g., linear / logistic / regularized regressions, nearest neighbors, k-means, DB scan, collaborative filtering, random forests, xgboost, light gbm, SVM, neural networks, deep neural networks, deep belief networks.

Starting salary from:7.10 eur / hourly

30th November 2025

What you'll achieve:

This position will merge DevOps, software engineering, data science, and data engineering to deploy LLM based data processing and agentic pipelines that deliver demand signals to Go-to-market teams (Marketing, Sales). You will use your technical knowledge and software development to help build technology-centric solutions that accelerate the development of Artificial Intelligence and Machine Learning capabilities across the company.

You will work with our Machine Learning Engineers to build robust and scalable solutions that will help power our Marketing organization with AI/ML models, AI Agents and data processing solution based on (but not only) latest open source LLMs.

You will:

• Assist in deploying and managing data processing pipelines (including LLM based ones), AI solutions (including agentic) and machine learning models in production environments.

• Collaborate with data scientists, data engineers and machine learning engineers to transition solutions from development to production.

• Help set up and maintain infrastructure for deployment and monitoring of data products pipelines.

• Work closely with cross-functional teams to ensure final solutions meet business requirements.

• Document processes, workflows, and best practices related to LLMOps/DevOps.

Essential Requirements:

• Currently pursuing a master’s degree in computer science, engineering, or a related field.

• Strong programming skills in Python.

• Basic understanding of machine learning concepts and model deployment frameworks.

• Knowledge and experience with containerization technologies (e.g., Docker, Kubernetes).

• Teamplayer and self-starter - able to work within team as well as independently, in a cross-functional team environment within an Agile framework.

Desirable Requirements:

• Knowledge and experience with LLMs, no-code tools (n8n, Flowise, etc.) and workflow automation tools (Apache Airflow) and Experience with CI/CD platforms (GitHub Actions, GitLab CI, Azure DevOps).

• Excellent problem-solving and analytical skills, strong communication skills and ability to work effectively in a team.

7.10 eur / hourly

You will

• Contribute to the design and architecture of high-quality, complex systems and software/storage environments
• Prepare, review and evaluate software/storage specifications for products and systems.
• Contribute to the development and implementation of test strategies.
• Demonstrated ability to prioritize and break down larger software features into smaller stories. Identify and escalate risks/issues, and work with senior engineers to overcome them.
• Achieve proficiency of new tools, languages and OS with training and on-the-job experience. Look to learn & contribute to modern software development processes including test-driven development, continuous integration, continuous testing and deployment

Essential Requirements

• 2+ years Python tech-stack experience.
• Unix and REST development experience. Understanding of relational/non-relational database.
• Exposure to modern software development tools, including GitHub, Genkins and Artifactory.
• Engineering knowledge in computer architecture, distributed systems and networking.
• Excellent coding and debugging skills. Effective communication ability through presentation, interpersonal, verbal and written skills

Desirable Requirements

• Knowledge on storage protocols like Fiber Channel, ISCSI, NVMe.
• Knowledge in additional programming languages such as C/C++, JAVA. Docker/Kubernetes exposure.

Application closing date:

, you will be part of team who is planning and executing activities leveraging variety of tactics from across EMEA region with a. You will work closely with our more experienced colleagues in the France Regional Marketing Team, Events, Budget and Marketing Enablement Teams and assist them with meaningful project work, strategic constructs, reporting, ad hoc analysis, operational tasks, etc. You will have a unique opportunity to gain excellent experience and expand your horizons in the marketing area, setting the foundations for your future success.

Your key responsibilities will be:

• Assist our field & partner marketers with operational tasks enabling the marketing activities execution
• Coordinate functional alignment across key stakeholders to gain on communication skills
• Support data quality and processing of data aligned to our strategic projects

Essential Requirements

• Slovak University daily student
• Team player and able to work independently, taking initiative and action to pursue goals and complete tasks
• Strong written and verbal English (C1), French (C1) capability to work and interact with wider team
• Agility to work within defined processes and meet deadline
• Self-motivator, eager to learn and suggest innovative ideas with attention to detailwith some agility in project management

Desirable Requirements

• Experience with dashboards creationsin Power BI, VBA functions would be of benefit

What’s next?

• 1st step: short phone screening
• 2nd step: online video interview
• 3rd step: feedback and/or offer communication

Hourly salary:starting from 6.60 EUR per working hour

When you join the Dell team as an intern you become part of a winning company that rewards you with following:

• Being part of a community of more than 110 interns at Dell Bratislava
• Access into Learning studio – more than 1,000 online trainings
• Dell Laptop
• Possibility to continue after your graduation in professional development programs
• Networking groups – collaboration, community and personal development (ERGs)

25 August 2025

in our

What you’ll achieve

As ayou will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines.

You will:

• LLM//Agentsandtraditional AI/ML

• Build prototypes and scalable AI/ML solutions that will be integrated into software products

• Collaborate with software engineers, business stakeholders and product owners in an Agile environment

• Have complete ownership of model outcomes and drive continuous improvement

Essential Requirements

• Proficient withwriting sophisticated, clean, andobject orientedPythoncode

• Strong coding skills in Python and SQL and machine Learning knowledge (Deep learning, NLP, Classification, Forecasting, Regression, GenAI etc. on large datasets) with experience in ML model deployment in production

• Ability to work with internal stakeholders to transfer business questions into quantitative problem statements

• Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists is a plus

• 2+ years of professional experience as a Data Scientist

Desirable Requirements

• Master’s or PhD in a quantitative discipline

• Professional experience with LLM/Agentic technologies

You will:

• Manage relationships with senior level technical personnel and decision makers

• Demonstrate the value of a product and/or service technology to advance customer business objectives

• Provide insight and thought leadership to customers concerning applicability of highly complex products and services

• Act as a technical resource for the sales organization to help meet and exceed their objectives

• Support account teams in strategic Account planning

• Influence large tenders/RFPs

• Find ways to up sell and provide “best” solutions/price bands

Essential Requirements

• Advanced knowledge of technical products, vendors and families of technologies

• Excellent understanding of product configurations

• Exceptional oral and written communication skills to communicate with customers, support personnel and leadership

Desirable Requirements

• Bachelor’s degree

• 5 to 8 years of related experience in a relationship selling role

• Customer facing experience of at least 5 years discussing customer requirements and presenting solutions

• Fluent French and good English

• Ability to effectively engage and build relationships with a range of contacts, from technicians to directors.

• Presentation, communications, and interpersonal skills.