Got a passion for data science and mathematical modeling? Blessed with an excellent eye for details and for opportunities hiding in data? Want to add your talents for ideation and implementation to an already stellar team? Then you might be just the exceptional data scientist we’re searching for!

In this role you will

- Create mathematical models for better understanding the value of Outfit7’s users and of the profitability of Outfit7’s marketing campaigns.
- Optimize data processing workflows to improve efficiency and performance.
- Drive operational improvements within analytical processes and methodology, as well as campaign improvements.
- Help set priorities within the team based on business impact.
- Work efficiently as part of the team.

What we’re looking for

- Talent for data science methodology and practice, as well as storytelling capability.
- Proficiency in reporting and explaining complex results to people from different professional backgrounds.
- Excellent attention to detail and ability to find opportunities for improvements in dashboards and to follow through on changes.
- Positive, make-it-happen, lead-by-example attitude.
- Good communication and presentation skills, with fluency in the English language (both written and spoken).

Your experience

- 3+ years of experience working in data science using statistical methods.
- Experience with ML for modeling more complex concepts.
- Experience in data instrumentation and data collection, as well as in the use of tools for analyzing data (e.g. R, Python).
- Experience in marketing data science (or similar role) would be a plus.

What we offer

- Employment relationship with Ekipa2 d.o.o. for an indefinite period of time, with a six-month probationary period.
- Diverse work with exciting daily challenges, working as part of a team in a fun, relaxed environment.
- Participation in attractive projects.
- Development opportunities through training, seminars, and conferences.
- Choice of sport, fitness, educational, and entertainment activities outside of work.
- Healthy meals in the office.
- Flexible working hours.
- 24 days of paid vacation.
- Participation in a discretionary bonus plan.
- Christmas bonus (subject to internal company policies).

Note: With application to selected job position I hereby confirm that I have read and understood Outfit7's Candidate Privacy Policy.

Job Description:

The Applied AI Engineering team at DevRev is responsible for architecting and building solutions that deliver the optimal experience for our customers. As customers progress through their DevRev journey, they may require integrations with enterprise systems, workflow automation, or custom enhancements to the platform.

As a Junior Applied AI Engineer, you will work alongside experienced engineers and cross-functional teams to help design and implement integrations, automations, and AI-driven solutions. You will gain hands-on experience applying AI/ML techniques, coding, and building scalable solutions that enhance the customer experience, while receiving mentorship to grow your technical and problem-solving skills.

Objectives:

• Assist in designing, developing, and implementing integrations, automations, and customizations across DevRev and customers’ workflows.
• Apply AI techniques, including Generative AI and prompt engineering, under guidance from senior team members.
• Conduct basic data analysis, write SQL queries, and help build dashboards to share insights.
• Participate in cross-functional communication to ensure requirements and feedback loops are maintained.
• Learn new tools and assist in guiding customers through critical workflows.
  
  

Ideal Candidate Qualifications:

• Degree in Software Engineering or equivalent experience (recent graduates welcome).
• Hands-on coding experience in TypeScript/JavaScript, Python, APIs, Webhooks, and SQL.
• Basic understanding of AI/ML concepts; familiarity with Generative AI and LLMs is a plus.
• Strong communication skills in English.
• Result-oriented, eager to learn, and comfortable working in a fast-paced environment.
• Passion for challenging work and growing as an engineer.

Nice to Have:

Exposure to vector databases, data embeddings, NodeJS, or Golang.Interest in customer-facing solutions and workflow automation.

The Teads Data Science Summer School, established in 2018, is a premier, intensive program designed to significantly advance the data science and machine learning skills of students and young professionals.

This hands-on, one-week program combines theoretical concepts with practical application, providing participants with a comprehensive understanding of data science and equipping them with sought-after, cutting-edge skills from the industry. Teads, a leader in digital innovation, is dedicated to fostering excellence through industry collaboration and education.

If you are passionate about data and enjoy coding, this is an exceptional opportunity to propel your career. During the one-week program, you will work with our highly talented data scientists and engineers, navigating the complete lifecycle of real-world data science projects. Using gigabytes of realistic advertising data, you will apply advanced data science techniques to solve actual industry challenges on a massive scale. A great opportunity for gaining practical knowledge and experience.

To qualify, you must possess strong coding skills and a foundational knowledge of data science and machine learning.

The program is entirely FREE, which includes all activities, lunches, coffee, and snacks. However, participants must commit fully to the entire duration of the program.

Who will benefit most from attending the Data Science Summer School?

The Teads Data Science Summer School is designed for enthusiastic individuals with some existing knowledge in machine learning and data science, gained through university studies, online courses, or involvement in platforms like Kaggle.

We encourage applications from final-year undergraduates, master's, and Ph.D. students in computer science or related fields, as well as recent graduates and professionals seeking to advance their expertise. Although prior experience is advantageous, the program is structured to accommodate all skill levels, allowing both beginners and advanced practitioners to learn and contribute effectively. 

Essential prerequisites include a basic grasp of machine learning and data science concepts and proficiency in coding, as the summer school focuses heavily on practical, hands-on projects. While experience with Python and TensorFlow is helpful, it is not mandatory.

What to Expect?

Our team of expert data scientists and engineers will lead you through a week of engaging data science talks, hands-on workshops, and exciting experimentation. You will also have the opportunity to learn from internal and external guest lecturers and connect with fellow data scientists through various social activities.

The curriculum covers essential data science and machine learning topics, with an emphasis on real-life problems Teads solves every day in the programmatic advertising and full-funnel omnichannel data driven solutions.You can expect expert lectures on selected data science topics and hands-on workshops utilizing large and sparse datasets.

The official language of the summer schools, including all presentations and materials, is English.

Why Learn From Us?

At Teads, we’re building the leading recommendation platform for the Open Web. Our World-Class Data Science Team is daily working with:

• Machine Learning at Scale: Our systems calculate over 1 billion machine learning predictions every second
• Immediate Business Impact: Deployed ML models have a direct and significant impact on our business
• Production-Ready Algorithms: We don't keep cutting-edge deep learning algorithms on the shelf - we deploy them to make a difference
• Massive Data Processing: We generate and manage petabytes of data daily, using our own data centers, S3, and BigQuery
• Multi-Cloud Environment: Our infrastructure leverages the power of AWS, GCS, and a private cloud
• Optimized Production: Java and Go-lang are our primary production languages; Python is used for offline research
• In-House TensorFlow Expertise: Our highly optimized ML algorithms are developed in-house using TensorFlow
• In-House Distributed AutoML Framework: Our custom AutoML framework empowers effective offline research
• End-to-End Ownership: Our data scientists own the ML-powered features they develop, from initial concept to final product
• Continuous Learning: We foster a culture of learning, both internally and externally 
• Knowledge Sharing: We share our expertise externally through conference talks, meetups, and student mentorship programs 
• Global Collaboration: We're part of a world-class data science and software engineering organization with a global presence

Timeline

Registration open: 20. 4. 2026 - 21. 6. 2026

Selection notification: 26. 6. 2026

Summer School: 6. 7. 2026 - 10. 7. 2026

#LI-Hybrid

Full-time position
Hybrid role, 3 days a week in our Ljubljana, Slovenia office. 

Life at Plume

At Plume, we believe that technology isn't about moving faster; it's about making life’s moments better. Which is why we’ve built the world's first and only open and hardware-independent service delivery platform for smart homes, small businesses, enterprises, and beyond. Our SaaS platform uses WiFi, advanced AI, and machine learning to create the future of connected spaces—and human experiences—at a massive scale.

We now deliver services to over 60 million locations globally and have managed over 3 billion devices on our platform. We’re expanding rapidly, pioneering a new category, and we achieved our Series F funding in just four years. Our customers include many of the world's largest Internet Service Providers (ISPs) who look to Plume to help them evolve their smart home offerings while gleaning insights from their own data. 

With a bias for action and a love for being trailblazers, the team at Plume embodies a combination of relentless curiosity and imaginative innovation. We challenge ourselves to think in ways that other companies don't, work to do what should be done (rather than what can), and if we can’t do it exceptionally well, we don’t do it. It’s how we've assembled a team of world-class builders, thinkers, and doers. And it’s how we’re reinventing what’s possible every day.

Senior Technical Program Manager

We're looking for a Senior Technical Program Manager to take the wheel on some of our most exciting and high-impact initiatives - spanning automation, AI, and CI/CD. You'll be the connective tissue across engineering teams, making sure the right things get built, shipped, and measured.

This isn't a role for someone who likes to stay in the background. You'll drive clarity in ambiguous situations, call out blockers before they become fires, and help teams move faster without cutting corners.

Responsibilities

Program Management & Execution

• Own end-to-end planning, tracking, and delivery of programs across automation, AI, and CI/CD domains.
• Define and maintain program roadmaps, milestones, dependencies, and success metrics.
• Run crisp, efficient rituals (standups, reviews, retrospectives) that actually move things forward.
• Proactively surface risks and drive mitigation plans before issues escalate.

CI/CD & Automation

• Partner with engineering teams to track and accelerate initiatives that improve CI/CD pipelines, release velocity, and deployment reliability.
• Champion automation-first thinking across the SDLC — from testing and build pipelines to monitoring and incident response.
• Measure and report on pipeline health, lead time, and deployment frequency.

AI Initiatives

• Manage programs introducing AI-driven tools and workflows into engineering processes.
• Track adoption and impact of AI-enabled development tools and automation frameworks.
• Coordinate cross-team integration of AI technologies into engineering platforms.

Cross-Functional Leadership

• Serve as the primary point of coordination across engineering, product, SRE, and leadership stakeholders.
• Build strong working relationships across time zones and disciplines — you know how to get alignment without being the bottleneck.
• Communicate program status clearly and confidently to both technical and non-technical audiences.
• Drive a culture of accountability, transparency, and continuous improvement.

Qualifications

• 5+ years of experience in technical program management, with a track record of delivering complex, cross-functional programs.
• Deep Jira expertise, including project configuration, custom workflows, dashboards, and advanced JQL querying, with the ability to leverage Jira data (velocity trends, cycle time, sprint burndown) to drive decisions and proactively identify risks such as scope creep.
• Proven experience driving end-to-end Agile delivery for technical programs, including facilitating sprint planning (capacity planning, backlog refinement, story estimation), daily stand-ups, sprint reviews, and retrospectives that translate into measurable improvements across automation, AI, and CI/CD initiatives.
• Excellent written and verbal communication skills in English, with the ability to adapt messaging appropriately for different audiences, from senior executives to technical stakeholders such as staff engineers.
• Strong project management skills with the ability to bring structure and clarity to complex initiatives, maintain a high level of attention to detail, and consistently deliver outcomes within defined timelines.

Bonus points if you have:

• Experience in SaaS, networking, or connected devices.
• Familiarity with agile and scaled agile frameworks.
• Background working across globally distributed teams.
• Strong grasp of CI/CD concepts, DevOps practices, and the software development lifecycle.
• Hands-on experience managing AI or data-driven initiatives (you don't need to write the models, but you need to understand the landscape).

Why Plume

• Work on technology that reaches millions of real people in their homes every day.
• Hybrid flexibility — we believe in in-person collaboration and personal autonomy.
• A culture that values directness, curiosity, and getting things done.
• Competitive compensation, equity, and benefits.

Don’t see the perfect position for you?

Apply here and add your resume to our Machine Learning Talent Network! We’re always excited to connect with talented professionals who are passionate about high traffic environment and managing big amounts of data.

This is not an active job posting and you will only be contacted if there is a future role that fits your skillset.

Our main Engineering challenges at Teads

• Build efficient and easy-to-use web products used by thousands of users working for the world’s most premium publishers, advertisers, and agencies.
• Rich and diverse tech stack and system architecture to optimize for performance, scalability, resiliency, and cost efficiency. We use mostly Scala and TypeScript, among others.
• Working in a very high-traffic environment (2.2 billion users per month, 100 billion events per day) with low latency and high availability constraints (2 million requests per second, responses in less than 150 milliseconds).
• Management of large datasets with milliseconds order of magnitude access time, to compute in a near real-time complex auction resolution algorithm (18 million predictions per second).
• A fast-changing environment where we continuously collaborate with Product teams and constantly adapt our Cloud infrastructure for new features and Products.
• Bring a wide diversity of profiles to the same level of quality and knowledge
• Work in an international environment with offices located in Israel, Slovenia and France

What will you do?

As a Senior Machine Learning Engineer, your mission will be:

• Improve existing ML library & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
• Create, design, develop, test and monitor your code in production autonomously and reliably.
• Design, develop, and implement ML models and algorithms with a focus on robustness, performance, and scalability.
• Collaborate with data scientists to identify and apply effective machine learning techniques and strategies for improved system performance.
• Mentor other team members to improve their autonomy and Software Engineering skills.
• Collaborate with variety of teams for production cases to develop services from design to production.
• Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
• Keep up to date with the latest Machine Learning technologies to make sure we constantly improve our ML system.

What will you bring to the team?

• Strong programming skills with a focus on Python, Java, Scala and proficiency in software engineering practices such as testing, debugging, and performance tuning.
• Hands-on experience implementing machine learning algorithms, particularly in production environments.
• Strong problem solving skills.
• Strong communication skills, with the ability to collaborate effectively across teams and explain complex technical concepts clearly.

Bonus Points:

• Knowledge of Data Engineering tools (e.g. Spark, Airflow, ...).
• Familiarity with ML frameworks and tools (e.g., TensorFlow, PyTorch,..).
• Performance engineering capabilities, including profiling and optimizing algorithms and systems for high efficiency and low latency.
• Experience working with cloud-based infrastructures (e.g., AWS, GCP).
• A Master’s or PhD in SC/Math.

The Team

• The AI department currently consists of 50 people who are a mix of data scientists, machine learning and backend engineers
• The department provides technologies that power outcomes of campaigns with a total yearly turn over of $1.7B
• Runs large scale prediction and control systems for ad delivery, dealing with millions of live ads, doing more than a billion predictions per second based on large on-line trained models being updated every 5 minutes

We care about you

• Career Development: Continuous investment in our employees’ skills: in-house and external training, internal mobility …
• Life Balance: A well-balanced work-life for our employees is one of our top priorities: 22 days off per year, hybrid work (3 days per week in the office)
• Wellness: Prioritizing employee well-being through premium work equipment, enjoyable work environment (work-life balance, team building events, summits), remote work subsidy, promoting Diversity & Inclusion with internal & external initiatives, etc. 

Please submit your CV in English.

#LI-Hybrid