ML Engineer Senior

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7gof30

As a Senior Machine Learning Engineer at NTT DATA, you will work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives.

Si candidi ora: legga i dettagli del lavoro scorrendo verso il basso. Verifichi di possedere le competenze necessarie prima di inviare la candidatura.
Your Contribution In This Role
- Apply hands-on Generative AI capabilities, preferably on Azure/GCP and on-premise GenAI architectures and MLOps
- Leverage a strong mathematical background
- Work on classification, information retrieval, clustering and optimization problems
- Establish scalable, efficient and automated processes for large-scale data analysis
- Contribute to model development, model validation and model implementation
- Identify business opportunities
- Design and create new data pipelines from scratch, from experiments to production deployment
- Manage multiple projects
- Lead ML Engineers
- Connect with stakeholders

The ideal profile
- At least 5 years of production experience working in Data Science or Software Engineering;




- Deep knowledge of math, probability, statistics and algorithms;
- At least 6/12 months of experience in Generative AI deployment and underlying architecture handling;
- Vector Database knowledge is well appreciated;
- Understanding of data structures, data modeling and software architecture;
- Fluent in a at least two mainstream programming language (Python, Scala, Java, C++);
- Experience in building an infrastructure for technical users, such as Data Scientist, ML practitioners or data consumers/producers;
- Strong knowledge of Spark, Databricks is a strong plus;
- Experience developing/deploying ML solutions in one of the public cloud platforms and on a Cross-cloud base, Snowflake knowledge is a plus;
- Deep knowledge with machine learning frameworks (such as Keras or PyTorch);
- Ability to design and implement machine learning pipelines in a production environment;
- Experience with deploy

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7gof30