02 set - Milano
Bitrock
Bitrock 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. 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 for You 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 are You are passionate about data science, AI, and LLMs,
and you love crafting sophisticated solutions within complex, real-time environments using innovative technologies. Beyond technical excellence, you bring strong business acumen and the ability to communicate clearly with both technical and non-technical stakeholders.
Key Responsibilities Core Data Science & ML Solid understanding of mathematics and statistics applied to machine learning and deep learning. Proficiency with the Python data ecosystem (NumPy, pandas, matplotlib, seaborn, scikit-learn).
Experience with deep learning frameworks (TensorFlow, PyTorch). LLM & Agentic Systems Experience fine-tuning LLMs.
Knowledge of frameworks for building stateful AI agents (LangChain, LangGraph, CrewAI).
Software
Engineering & MLOps Experience 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.
Experience with other programming languages (especially Rust).
Experience with cloud platforms (GCP, AWS, Azure). Knowledge of Agile methodologies. Our recruitment process has 3 stages: You can apply via LinkedIn or send your cv to (email hidden)
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