ML Engineer Senior

1 mese fa

Turin, Piedmont, Italia NTT DATA Europe & Latam Tempo pieno

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.

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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 deploymentManage 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 at least two mainstream programming languages (Python, Scala, Java, C++);
  • Experience building infrastructure for technical users such as Data Scientists, 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 xivgfpx knowledge of machine learning frameworks such as Keras or PyTorch;
  • Ability to design and implement machine learning pipelines in a production environment;
  • Experience with deployment, CI/CD, containerization, and related concepts focusing on MLops, re‐training, drift management;
  • Ability to train more junior team members in multiple Machine Learning and Deep Learning concepts;
  • Establish and maintain strong relationships with internal team members and external clients

Location

Milano, Bari, Bologna, Cosenza, Napoli, Pisa, Roma, Torino