AI Senior Data Scientist

Bitrock; Milano; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A high-end consulting firm in Milan seeks a talented data scientist passionate about AI and ML. In this role, you will join an experienced engineering team to design state-of-the-art solutions and develop sophisticated projects across various fields. The ideal candidate has strong mathematical and programming skills, especially in Python, with experience in data science frameworks and machine learning. This position offers an opportunity to work collaboratively in a cutting-edge environment with a focus on continuous learning and professional growth.

Competenze

• Strong understanding of mathematics and statistics applied to machine learning.
• Proficient in Python data ecosystem including NumPy and pandas.
• Experience with deep learning frameworks like TensorFlow or PyTorch.
• Familiar with model serving technologies, particularly Flask or FastAPI.

Mansioni

• Contribute to the design and delivery of data science solutions.
• Collaborate with global partners in developing AI/LLM solutions.
• Conduct research, prototyping, and develop production-ready applications.

Conoscenze

Data science and AI expertise

Mathematics and statistics

Python data ecosystem (NumPy, pandas)

Deep learning frameworks (TensorFlow, PyTorch)

Model serving (Flask, FastAPI)

SQL

Strumenti

Git

Docker

Relational databases (PostgreSQL)

Descrizione del lavoro

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.

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 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. 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 & 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.

Nice to Have

• Experience with other programming languages (especially Rust).
• 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 team
• Technical interview with our Team Leaders
• Final interview with our Head of Area

How to apply:

• You can apply via LinkedIn or send your cv to [e-mail]