01 ago - Italia
NTT DATA
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.
Responsibilities
- 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
- Connect with stakeholders
Qualifications
- 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 at least two mainstream programming languages (Python, Scala, Java, C++);
- Experience in building infrastructure for technical users, such as Data Scientists, ML practitioners or data consumers/producers
- Strong knowledge of Spark and Databricks is a strong plus
- Experience developing/deploying ML solutions in one of the public cloud platforms and on a cross‑cloud basis; 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 deployment, including knowledge of CI/CD, containerization, and related concepts with a focus on MLops/ re‑training/drift management
- Ability to train more junior team members in multiple Machine Learning and Deep Learning concept
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