Why Kiliba? 🌟

Impressive Growth 📈

🏆 Top 5% of startups in our investors’ portfolios

💰 €3 million in ARR through outbound sales alone

🚀 €7 million seed funding from top-tier investors (Otium Capital, Bleu Capital, FrenchFounders)

Dynamic Tech Environment 💻

🤝 Collaborate with a diverse team of 50 talented professionals

🧠 Work directly with our CTO, Benoit, our Engineering Manager, Clément, and tech team members

💡 Contribute to groundbreaking projects in AI and machine learning

🔬 Be at the forefront of MarTech innovation

Your Role 🎯

As a Machine Learning Engineer at Kiliba, you’ll be at the heart of our AI innovation, focusing on Large Language Models (LLMs) and Recommendation Systems. Reporting to the Head of Data Science,Elias, you’ll work closely with our exceptional tech team to push the boundaries of what’s possible in customer engagement.

Key Responsibilities

1. LLM & Recommendation Systems in Production 🛠️

   • Architect scalable infrastructure for deploying models on Databricks

   • Implement robust CI/CD pipelines for seamless model deployment

   • Optimize model performance and cost-efficiency

2. Vector Database Management 🔍

   • Implement and fine-tune vector databases for lightning-fast similarity searches

   • Optimize storage and retrieval processes for peak performance

3. Experimentation & Testing 🧪

   • Design and conduct impactful A/B tests to drive continuous improvement

   • Develop comprehensive testing suites for LLM regression, performance, and responsibility

What You Bring to the Table 💼

Essential Qualifications

• 🎓 Master’s degree in Computer Science, Engineering, Statistics, or related field from a top-tier engineering school

• 💼 At least 4 years of professional experience in machine learning or related field

• 💻 Proven experience in MLOps, preferably with Databricks

• 🐍 Proficiency in PySpark, Python, and ML libraries (PyTorch, TensorFlow, scikit-learn)

• 🧮 Strong understanding of data preprocessing, feature engineering, and model evaluation

• 📊 Hands-on experience with vector databases and statistical analysis

Preferred Skills

• 🔤 Background in NLP and related libraries (e.g., Hugging Face Transformers)

• ☁️ Experience with Databricks for ML model lifecycle management

Soft Skills

• 🧩 Sharp problem-solving and analytical abilities

• 🗣️ Excellent communication and teamwork skills

• 🚀 Adaptability and enthusiasm for working in a dynamic environment

Join Our Innovation Journey 🌠

At Kiliba, you won’t just be part of a team - you’ll be a key player in reshaping the future of customer engagement. You’ll have the opportunity to work on cutting-edge AI solutions, collaborate with brilliant minds, and see your ideas come to life in products used by industry leaders.

If you’re ready to take on challenges, push the boundaries of AI, and make a real impact in the world of MarTech, we want to hear from you!

Benefits / Additional information

• Remote friendly 🏡

• Contract hourly / 39h ⌚️

• Evolving environment 🚀

• Healthcare insurance AXA (50%) ⛑️

• Swile meal vouchers of €8.50 per working day (60% employer’s share) 🍕

• 1 monthly & afterwork per month with all teams 🥳

• One activity per month with your team 🎱

In accordance with Kiliba’s values of welcoming and integrating people with disabilities, this offer is open to all.

Recruitment process

• Send us your CV (FR or EN) + an introductory message (no cover letter) to explain what you’re looking for (a few lines are enough).

• Round 1: A 10-minute chat on the phone with our Talent Acquisition Manager, Charlotte, to make sure we’re aligned on our respective expectations (this is not an interview)

• Round 2: HR meeting by video (or face-to-face, if you wish) with Charlotte

• Round 3: Meeting with your future manager, Benoit

• Round 4: Use case + restitution

Throughout the recruitment process, Charlotte will be there to support you and answer all your questions.