AI/ML Engineer - Senior

Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.

We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyone’s effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.

To support our customer, we are looking for a:

AI/ML ENGINEER - Senior

TASKS:

• Develop and deploy AI/ML solutions, including machine learning models, Generative AI, LLMs, NLP systems, APIs, and RAG architectures.
• Manage the full ML lifecycle, from data preparation and feature engineering to model training, deployment, monitoring, retraining, and MLOps automation (CI/CD/CM).
• Ensure data quality, governance, and compliance, including bias detection/mitigation, data integrity, AI Act compliance, and responsible AI practices.
• Design and optimize AI architectures using technologies such as Python, R, TensorFlow, PyTorch, scikit-learn, LangChain, LlamaIndex, MLflow, and cloud-based AI platforms.
• Analyze large and complex datasets, leveraging SQL, data lakes, visualization tools, anomaly detection systems, and statistical methods.
• Collaborate with business and technical stakeholders to define requirements, data rules, technical standards, and solution roadmaps.
• Produce technical documentation and presentations to communicate AI/ML concepts, project progress, and results to both technical and non-technical audiences.
• Stay current with AI research and innovation, evaluating and piloting new technologies to drive continuous improvement.

REQUIREMENTS:

• Master degree and at least 15 years of experience in Machine Learning / Artificial Intelligence/ data management.
• Ability to participate in multilingual meetings.
• Ability to understand, speak and write English.
• Excellent interpersonal and communication skills
• Ability to work in a team as well as autonomously.
• Results-oriented mindset, focused on delivering.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Proficiency with programming skills in languages essential for AI development and key libraries.
• Data-driven mindset.

CERTIFICATES and/or STANDARDS

• ​​​​​Certificate of course attendance on Python, Pandas, SQL;
• Certificate of course attendance on Deep Learning;
• Certificate of course attendance on Time Series;
• Certificate of course attendance on Data cleaning;
• Certificate of course attendance on Machine Learning Explainability;

SKILLS:

• programming & AI/ML Expertise: Strong proficiency in Python, R, SQL, and leading AI/ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn, pandas, FastAPI).
• Machine Learning & Generative AI: Expertise in ML algorithms, Deep Learning, Generative AI, LLMs, NLP, classification models, and model alignment techniques.
• Data Management & Analytics: Strong knowledge of data governance, data quality, data cleaning, lifecycle management, and analytics on large-scale structured and unstructured datasets.
• AI Platforms & MLOps: Experience with LangChain, LlamaIndex, Semantic Kernel, MLflow, Kubeflow, OpenShift, cloud-based AI solutions, and end-to-end MLOps practices.
• Responsible & Secure AI: Knowledge of AI security, AI Act requirements, bias detection and mitigation, explainability (SHAP), and AI risk management.
• Specialized Capabilities: Experience in machine translation quality evaluation, information extraction, data visualization (Matplotlib, GGplot, D3.js), and agile software development methodologies.
• Language knowledge: very good knowledge of English language, both spoken and written, corresponding to Level C1 +

Office: Far-site

Minimum level of qualification: Master degree and at least 15 years of experience in Machine Learning / Artificial Intelligence/ data management.

If interested, please apply!

Our personnel search is addressed to candidates of all genders.

The data will be processed and stored exclusively for the purposes of this or future selections, in compliance with the Federal Data Protection Law (LPD) and guaranteeing the rights referred to in art. 13 Legislative Decree 196⁄03 and EU regulation 679⁄2016 (GDPR)

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