
51 - 200 employees
Founded 2020
🤝 B2B
🎯 Recruiter
B2B • Recruitment
HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.
🔥 0 minutes ago
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51 - 200 employees
Founded 2020
🤝 B2B
🎯 Recruiter
B2B • Recruitment
HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.
• Join a cross-functional ML engineering team building the pipelines, feature stores, and serving infrastructure that take models from experimentation into production. • Collaborate daily with data scientists, product engineers, and platform engineers in an environment where ML is a core capability, not a side project.
• 3–8 years of combined experience in data engineering and ML model lifecycle work (Mid: 3–5 yrs / Senior: 5–8 yrs) • Advanced, production-grade Python skills — model training, serving, and automation • Hands-on experience with at least one ML framework: scikit-learn, PyTorch, or TensorFlow • Experience with MLOps tooling: MLflow, Kubeflow, or Amazon SageMaker for experiment tracking and model serving • Solid understanding of the end-to-end ML lifecycle : data ingestion feature engineering training evaluation production • Experience designing and owning feature stores for both batch and real-time inference • Model deployment and REST or gRPC serving patterns in production environments • Hands-on with cloud ML services: Amazon SageMaker, GCP Vertex AI, or Azure ML • Data pipeline tooling: Apache Airflow, Apache Spark, or dbt • CI/CD for ML — model registry management, A/B testing frameworks, and production monitoring • Strong SQL and data wrangling skills at scale • English: B2 (Upper Intermediate) — mandatory • Based in Portugal — mandatory. Portuguese nationals or residents strongly preferred.
• 15th month salary • Health insurance covering your family • Birthday off • Mobility program for digital nomads • Real work-life balance • Full benefits
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