
1001 - 5000 employees
Founded 1985
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
Fincons Group is a global IT services provider specializing in consultancy, technology, and system integration. The company offers proprietary solutions and smart-shore partnerships, serving various industries including media, financial services, energy and utilities, manufacturing, transportation, and public administration. Fincons is committed to innovation and sustainability, leveraging deep industry expertise and evolving technologies since 1984. They operate across several countries, providing services that enable the digital transformation of industries, enhance energy transition, and support manufacturing and transportation modernization. Fincons Group is also dedicated to community engagement and sustainability initiatives.
đĽ 7 minutes ago
Where this job comes from
Posted on Fincons Group's careers page, not through a job board
First seen by Remote Rocketship 7 minutes ago

1001 - 5000 employees
Founded 1985
đź Consulting
đĽ Healthcare
đŚ Logistics
Consulting ⢠Healthcare ⢠Logistics
Fincons Group is a global IT services provider specializing in consultancy, technology, and system integration. The company offers proprietary solutions and smart-shore partnerships, serving various industries including media, financial services, energy and utilities, manufacturing, transportation, and public administration. Fincons is committed to innovation and sustainability, leveraging deep industry expertise and evolving technologies since 1984. They operate across several countries, providing services that enable the digital transformation of industries, enhance energy transition, and support manufacturing and transportation modernization. Fincons Group is also dedicated to community engagement and sustainability initiatives.
⢠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 through model training, deployment, monitoring, retraining, and MLOps automation ⢠Ensure data quality, governance, compliance, bias detection and mitigation, data integrity, AI Act compliance, and responsible AI practices ⢠Design and optimize AI architectures using programming languages, ML frameworks, libraries, and cloud-based AI platforms ⢠Analyze large and complex datasets using 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 for technical and non-technical audiences ⢠Stay current with AI research and innovation by evaluating and piloting new technologies
⢠Master degree ⢠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 ⢠Very good knowledge of English, spoken and written, corresponding to Level C1 ⢠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, including distributions, statistical testing, and regression ⢠Proficiency with programming languages and key libraries essential for AI development ⢠Data-driven mindset ⢠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 ⢠Strong 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 knowledge of data governance, data quality, data cleaning, lifecycle management, and analytics on large-scale structured and unstructured datasets ⢠Experience with LangChain, LlamaIndex, Semantic Kernel, MLflow, Kubeflow, OpenShift, cloud-based AI solutions, and end-to-end MLOps practices ⢠Knowledge of AI security, AI Act requirements, bias detection and mitigation, explainability using SHAP, and AI risk management ⢠Experience in machine translation quality evaluation, information extraction, data visualization, and agile software development methodologies
⢠No specific benefits or compensation extras stated
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