Machine Learning Engineer

**Multiple position between Rome & Milan; Advisory Data & AI Consulting companies**We are looking for talentedMachine Learning Engineerswith a business-driven mindsetto join our Forward Deployed team. In this role, you won't just build models in isolation; you will work side-by-side with our clients to solve their most critical business challenges using AI, Data, and Software Engineering.You will act as the bridge between cutting-edge AI technology and real-world operational reality. You will design effective data governance, implement AI solutions, develop applications that run in production environments across various industries (Finance, Energy, Retail, Manufacturing, and more).What is a "Forward Deployed" Engineer?You are not a backend dev, and you are not just a Data Scientist. You are asolver. You go where the problem collaborating with both end users and engineers to shape the most effective solution. You understand the client's infrastructure, you establish a robust data architecture, you build the models, and, most importantly, you ensure those models deliver tangible value in production.Key ResponsibilitiesDesign & Build:Develop end-to-end Machine Learning and GenAI solutions, from data ingestion to model serving and monitoring.Client Integration:Work directly with client stakeholders and end users (technical and non-technical) to understand requirements and map them to technical solutions.Production Engineering:Write Production-ready solutions using cloud infrastructures and programming languages such as Python and manage the deployment of ML models on cloud infrastructure (AWS, Azure, or GCP).Problem Solving:Tackle complex, unstructured data problems. If the data is messy, you clean it. If the API is missing, you build it.Adaptability:Switch contexts effectively between different project workstreams and technology and tech stacks.Technical RequirementsExperience:min 1 year – max 4 years of experience in Machine Learning Engineering, Data Engineering, or Backend Engineering with a focus on data.Coding:Proficiency in programming languages, especially Python is non-negotiable. Strong familiarity with data manipulation practices and tools such as Python modules (Pandas, NumPy) and SQL.ML Stack:Experience with standard ML frameworks (Scikit-learn, TensorFlow, PyTorch) and modern GenAI tools (LangChain, HuggingFace, OpenAI API) is a strong plus.Engineering Best Practices:some degree of comfort with Git, CI/CD pipelines, Docker, and containerization.Cloud & Infrastructure:Hands-on experience with at least one major cloud provider (AWS, Azure, GCP).The Forward Deployed Engineer Mindset (Soft Skills)Communication:Ability to explain complex technical concepts to non-technical client stakeholders.Autonomy:You are comfortable working in ambiguous environments where the path forward isn't always clear.Impact-Driven:You care more about the solution working and creating value than using the "trendiest" model just for the sake of it.Language:Fluent inEnglish,Italian fluency is a plus, but it is not mandatory.Why Join Us?Exclusive Network:We are recruiting formultiple top-tier clients, ranging from agile AI scale-ups to established enterprise leaders. You will have the chance to be matched with the engineering culture and project that best fits your ambitions.Prime Locations:We have open Permanent positions with clients based in bothMilanandRome. Whether you are in Lombardy or Lazio, we can connect you with the most innovative tech teams in your area.Stability & Innovation:Enjoy the security of aPermanent contractwhile working on high-impact projects (GenAI, Predictive Analytics, Computer Vision) that define the state-of-the-art in the Italian market.Working Model:Working arrangements are driven by the project's nature. The balance between on-site collaboration and remote work is determined by the specific client, role seniority, and project requirements. We will discuss the precise setup for each opportunity during the selection process.