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Work in an international innovative team to develop solutions around AI and Reliability.

Open Positions

Currently hiring for our Tunisian office.

Lead MLOps/AI Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time
View position

Lead Software Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time
View position

Junior MLOps Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time
View position

Junior DevOps Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time
View position

Interested? Send your CV and cover letter to info@digital-innovation-partner.ch

Lead MLOps/AI Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time

Digital Innovation Partner is a specialized Swiss-based IT company, part of the Swiss Digital Network, that will need for its Tunisian office a Lead MLOps/AI Engineer for a full-time position. We are seeking an experienced Lead MLOps/AI Engineer to join our expanding AI-driven product development and solutions delivery team. In this position, you will provide technical leadership in AI-driven product development and play a pivotal role in scaling and industrializing AI applications. The role involves designing, deploying, and delivering production-grade AI solutions, collaborating with teams in Switzerland, and promoting innovation.

Key Responsibilities

The candidate will lead the design, deployment, and operation of AI products in production. This position requires technical expertise in MLOps, infrastructure optimization, and collaboration between product and engineering teams.

  • Design, deploy, and manage scalable ML & AI production systems
  • Establish MLOps, CI/CD, and model lifecycle standards
  • Monitor and address data/model drift for reliability
  • Optimize data pipelines, APIs, and distributed systems
  • Work with stakeholders in Agile teams
  • Mentor and guide team members for technical quality

Your Skills

MLOps Engineering
  • Experience deploying ML models in production
  • Skilled in CI/CD pipeline construction
  • Knowledge of Kubernetes or similar systems
  • Data pipeline and feature engineering experience
  • API design for ML/data services
Collaboration & Leadership
  • Experience leading and mentoring engineering teams
  • Ability to work independently and drive technical projects
  • Skilled at translating business requirements into technical solutions
  • Comfortable collaborating with product owners, SMEs, architects, and engineering teams
  • Strong work experience in Agile environments
  • Strong communication skills with all stakeholders

We Offer

  • Contribution to large-scale AI systems and advanced machine learning
  • Lead product and technical strategy with significant impact
  • Modern international work environment, including projects in Switzerland
  • Ongoing learning in state-of-the-art technologies
  • Collaborative, multicultural team culture

Interested?

Send your CV and a cover letter to:

info@digital-innovation-partner.ch

Lead Software Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time

Digital Innovation Partner is a Swiss-based IT company, part of the Swiss Digital Network, seeking a Lead Software Engineer for its Tunisian office for a full-time position. We need an experienced Lead SW Engineer to guide our AI-driven product development and solutions delivery team. The role involves designing, deploying, and delivering production-grade AI solutions, collaborating with teams in Switzerland, and promoting innovation.

Key Responsibilities

Responsibilities include technical leadership in an Agile environment, translating requirements into reliable solutions, and cross-functional collaboration. While focused on software engineering and system architecture for Reliability Management Solutions, experience with MLOps and production ML systems is highly desirable.

  • Oversee the design, architecture, and implementation of scalable software systems
  • Provide mentorship and guidance to engineers, fostering team growth and ensuring high standards of technical quality
  • Champion engineering best practices: clean code, maintainability, comprehensive testing, CI/CD, documentation, and operational readiness
  • Support informed technical decisions by assessing trade-offs related to scalability, reliability, performance, maintainability, and delivery constraints
  • Collaborate effectively with product owners, engineers, subject matter experts, and domain specialists within Agile environments
  • Convert functional and non-functional requirements into actionable technical solutions
  • Participate in technical planning, estimation, risk identification, and follow-up on delivery milestones
  • Ensure that all solutions are robust, observable, secure, and fully prepared for production deployment
  • Partner with MLOps and data science professionals to integrate machine learning models or AI components into production systems

Your Skills

Software Engineering

  • Experience designing and building production-grade software systems
  • Strong skills in system design, architecture, and engineering trade-offs
  • Familiarity with APIs, backend services, integration patterns, and distributed systems
  • Knowledge of automated testing, code reviews, maintainability, and managing technical debt
  • Experience with relational databases (PostgreSQL, MySQL, SQL Server, Oracle)
  • Ability to create data models based on scalability and performance needs
  • Understanding of query optimization, indexing, and database performance
  • Proficiency in clean code, modular design, testing, maintainability, and code reviews
  • Experience with frameworks such as FastAPI, Spring Boot, or Node.js

Collaboration & Leadership

  • Experience leading and mentoring engineering teams
  • Ability to work independently and drive technical projects
  • Skilled at translating business requirements into technical solutions
  • Comfortable collaborating with product owners, SMEs, architects, and engineering teams
  • Strong work experience in Agile environments
  • Strong communication skills with all stakeholders

We Offer

  • Contribution to large-scale AI systems and advanced machine learning
  • Lead product and technical strategy with significant impact
  • Modern international work environment, including projects in Switzerland
  • Ongoing learning in state-of-the-art technologies
  • Collaborative, multicultural team culture

Interested?

Send your CV and a cover letter to:

info@digital-innovation-partner.ch

Junior MLOps Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time

Digital Innovation Partner is a Swiss-based IT company, part of the Swiss Digital Network, that will need for its Tunisian office a Junior MLOps Engineer for a full-time position. We are looking for a motivated Junior MLOps Engineer to join our expanding AI-driven product development and solutions delivery team. In this role, you will support the deployment and monitoring of machine learning models in production, working alongside experienced engineers and collaborating with teams in Switzerland.

Key Responsibilities

The candidate will assist in the deployment, monitoring, and maintenance of ML models and AI pipelines. This position is ideal for someone with a background in machine learning who is eager to bridge the gap between data science and production engineering.

  • Support the deployment of ML models to production environments
  • Assist in building and maintaining data and model pipelines
  • Help monitor model performance and flag data or model drift issues
  • Contribute to CI/CD workflows adapted for ML workloads
  • Collaborate with data scientists and engineers to integrate ML components into applications
  • Participate in Agile ceremonies and support delivery milestones
  • Document ML pipelines, experiments, and deployment procedures

 

Your Skills

MLOps & Machine Learning
  • Basic understanding of the ML lifecycle: training, evaluation, deployment, and monitoring
  • Familiarity with ML frameworks such as scikit-learn, TensorFlow, or PyTorch
  • Introductory experience with MLOps tools (e.g. MLflow, DVC, Weights & Biases) is a plus
  • Exposure to CI/CD concepts and pipelines, ideally in an ML context
  • Basic knowledge of containerization with Docker
  • Comfort with Python scripting for data processing and automation
  • Awareness of API design or REST services for ML model serving
Collaboration & Mindset
  • Eagerness to learn and grow in a fast-paced AI engineering environment
  • Ability to collaborate with data scientists, engineers, and product stakeholders
  • Basic experience in Agile or iterative project environments
  • Good communication skills in English (French or Arabic a plus)
  • Curiosity about production ML challenges and a desire to improve system reliability

 

We offer

  • Hands-on contribution to large-scale AI systems and advanced machine learning.
  • Mentorship from experienced senior MLOps and AI engineers.
  • Modern international work environment, including collaboration with teams in Switzerland.
  • Continuous learning with access to state-of-the-art technologies.
  • Collaborative, multicultural team culture.
  • Clear growth path toward a mid-level or senior MLOps/AI Engineer role.



Interested?

Send your CV and a cover letter to:

info@digital-innovation-partner.ch

Junior DevOps Engineer

Work in an international innovative team to develop solutions around AI and Reliability.

  • Tunisia
  • Full time

Digital Innovation Partner is a Swiss-based IT company, part of the Swiss Digital Network, that will need for its Tunisian office a Junior DevOps Engineer for a full-time position. We are looking for a motivated Junior DevOps Engineer to join our growing AI-driven product and solutions delivery team. In this role, you will contribute to building and maintaining CI/CD pipelines, cloud infrastructure, and deployment processes, working alongside experienced engineers and collaborating with teams in Switzerland.

Key Responsibilities

The candidate will support the design, deployment, and operation of software systems in production. This position is ideal for someone early in their career who is eager to grow in infrastructure automation, reliability, and DevOps practices.

  • Support the setup and maintenance of CI/CD pipelines and deployment workflows
  • Assist in managing and monitoring cloud infrastructure and containerized environments
  • Contribute to scripting and automation tasks to improve operational efficiency
  • Help maintain system reliability, availability, and performance monitoring
  • Collaborate with software and ML engineers to support smooth deployments
  • Participate in Agile ceremonies and contribute to team delivery milestones
  • Document infrastructure and operational processes

 

Your Skills

DevOps & Infrastructure
  • Basic understanding of CI/CD concepts and tools (e.g. GitHub Actions, GitLab CI, Jenkins)
  • Familiarity with containerization technologies such as Docker
  • Introductory knowledge of Kubernetes or container orchestration concepts
  • Exposure to cloud platforms (AWS, Azure, or GCP) — even at student/project level
  • Comfort with Linux command line and basic shell scripting (Bash)
  • Understanding of version control with Git
  • Awareness of monitoring and logging tools (e.g. Prometheus, Grafana, ELK stack)
Collaboration & Mindset
  • Eagerness to learn and grow in a fast-paced engineering environment
  • Ability to collaborate effectively within a team
  • Basic experience working in Agile or iterative project environments
  • Good communication skills in English (French or Arabic a plus)
  • Proactive attitude and willingness to take ownership of assigned tasks

 

We offer

  • Hands-on exposure to large-scale AI systems and cloud infrastructure.
  • Mentorship from experienced senior engineers.
  • Modern international work environment, including collaboration with teams in Switzerland.
  • Continuous learning with access to state-of-the-art technologies.
  • Collaborative, multicultural team culture.
  • Clear growth path toward a mid-level or senior DevOps role.

Interested?

Send your CV and a cover letter to:

info@digital-innovation-partner.ch