Part-time Machine Learning Engineer
3 settimane fa
Support Machine Learning model development activities (from feature engineering to model training and performance evaluation) Perform analytical tasks like algorithm design, implementation, validation, and testing Facilitate integration of the resulting system/software into an existing production environment Perform literature research, prepare presentations at both technical and marketing level Help training ML algorithms by doing annotations on the text, image, or tabular data Prepare gazetteers for natural language processing algorithms Willingness to multi-task, learn new technologies in a lean development environment PREFERRED REQUIREMENTS:
Theoretical and practical knowledge of Machine Learning algorithms (Classification, Regression, Clustering, ...) Experience in building Machine Learning Pipelines from data collection to cleaning, model training/tuning, and performance evaluation. Proficiency and hands-on experience in coding with Python and commonly used libraries such as NumPy, Pandas, scikit-learn, Matplotlib, Seaborn, etc. Experience in relational SQL and NoSQL (Redis, Mongo DB, Cassandra) databases Experience in Linux/Unix operating systems SOFT SKILLS:
Skill to effectively present, describe and report on complex ideas and projects Good communication and team-working attitude Demonstrated ability to manage time effectively and adhere to strict deadlines in a dynamic work environment WHAT WE OFFER:
Selected candidates will be offered a part-time position to work in a stimulating and dynamic environment, strongly oriented towards the enhancement of human resources according to the results achieved. LOCATION:
OTHER
Applicants can send their
updated CV in English. The eligible candidates will be contacted for a preliminary call by the Corporate HR Representatives (Italy-based). Prometeia is committed to employing a diverse workforce. Our company promotes and respects equal opportunities. life and job opportunities in our Group. Job offers and Career Test. Prom life and initiatives with universities. The stories of our people The Prometeia's newsletter for students. Stay tuned
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