Who we areBitrock is a high-end consulting and system integration company, strongly committed to offering cutting-edge and innovative solutions. Our tailored consulting services enable our clients to preserve the value of legacy investments while migrating to more efficient systems and infrastructure. We take a holistic approach to technology: we consider each system in its totality, as a set of interconnected elements that work together to meet business needs.We thrive on overcoming challenges to help our clients reach their goals, by supporting them in the following areas: Data, AI & ML Engineering; Back-end Engineering, Platform Engineering, Front-end Engineering, Product Design & UX Engineering, Mobile App Development, Quality Assurance, FinOps, GovernanceThe effectiveness our solutions also stems from partnerships with key technology vendors, like HashiCorp, Confluent, Lightbend, Databricks, and Meterian.
Who we are looking forYou will join our experienced engineering team and contribute to the evolution of our products and client solutions. In the Professional Services area, you will collaborate with a global partner ecosystem to design and deliver state-of-the-art data science and AI/LLM solutions. Your work will span research, prototyping, experimentation, and production-ready development.
Who you areYou are passionate about data science, AI, and LLMs, and you love crafting sophisticated solutions within complex, real-time environments using innovative technologies. You are curious, proactive, and eager to learn. Beyond technical excellence, you bring strong business acumen and the ability to communicate clearly with both technical and non-technical stakeholders. You take ownership, and you are comfortable navigating ambiguity and bringing structure to undefined problems.
Key Responsibilities
Core Data Science & MLSolid understanding of mathematics and statistics applied to machine learning and deep learning.Strong Python programming skills.Proficiency with the Python data ecosystem (NumPy, pandas, matplotlib, seaborn, scikit-learn).Experience with deep learning frameworks (TensorFlow, PyTorch).LLM & Agentic SystemsExperience fine-tuning LLMs.Knowledge of frameworks for building stateful AI agents (LangChain, LangGraph, CrewAI).Software Engineering & MLOpsExperience with model serving using Flask or FastAPI.Familiarity with Git and distributed version control.SQL knowledge and experience with relational databases (e.g., PostgreSQL).Basic understanding of Docker.Nice to HaveExperience with other programming languages (especially Rust).Kubernetes knowledge.Experience with cloud platforms (GCP, AWS, Azure).Knowledge of Agile methodologies.
Recruitment process:Our recruitment process has 3 stages:First discovery short interview with our HR teamTechnical interview with our Team LeadersFinal interview with our Head of Area
How to apply:You can apply via LinkedIn or send your cv to