Senior AI/ML Engineer

This is a fully remote position, open to applicants in Italy.

📋 Description

• Create and implement AI/ML solutions, encompassing machine learning models, Generative AI, LLMs, NLP systems, APIs, and RAG architectures.

• Oversee the entire ML lifecycle, from data preparation and feature engineering to model training, deployment, monitoring, retraining, and MLOps automation.

• Guarantee data quality, governance, compliance, bias detection and mitigation, data integrity, adherence to the AI Act, and responsible AI practices.

• Design and enhance AI architectures utilizing programming languages, ML frameworks, libraries, and cloud-based AI platforms.

• Examine large and complex datasets through SQL, data lakes, visualization tools, anomaly detection systems, and statistical methods.

• Partner with business and technical stakeholders to establish requirements, data rules, technical standards, and solution roadmaps.

• Generate technical documentation and presentations tailored for both technical and non-technical audiences.

• Remain updated with AI research and innovations by assessing and piloting new technologies.

⛳️ Requirements

• Master's degree.

• A minimum of 15 years of experience in Machine Learning / Artificial Intelligence / data management.

• Capability to engage in multilingual meetings.

• Proficiency in understanding, speaking, and writing in English.

• Advanced knowledge of English, both spoken and written, at Level C1.

• Outstanding interpersonal and communication abilities.

• Competence to work collaboratively within a team as well as independently.

• Results-driven mindset with a focus on delivering outcomes.

• Strong applied statistics skills, including distributions, statistical testing, and regression analysis.

• Proficient in programming languages and essential libraries for AI development.

• Data-driven approach.

• Certificates of course attendance in Python, Pandas, SQL.

• Certificates of course attendance in Deep Learning.

• Certificates of course attendance in Time Series.

• Certificates of course attendance in Data Cleaning.

• Certificates of course attendance in Machine Learning Explainability.

• High proficiency in Python, R, SQL, TensorFlow, PyTorch, scikit-learn, pandas, and FastAPI.

• Expertise in ML algorithms, Deep Learning, Generative AI, LLMs, NLP, classification models, and model alignment techniques.

• Strong understanding of data governance, data quality, data cleaning, lifecycle management, and analytics on extensive structured and unstructured datasets.

• Experience with LangChain, LlamaIndex, Semantic Kernel, MLflow, Kubeflow, OpenShift, cloud-based AI solutions, and comprehensive MLOps practices.

• Knowledge of AI security, AI Act requirements, bias detection and mitigation, explainability using SHAP, and AI risk management.

• Experience in evaluating machine translation quality, information extraction, data visualization, and agile software development methodologies.

🏝️ Benefits

• No specific benefits or compensation extras stated.