AI Engineer

• Lead end-to-end machine learning projects involving client interactions, requirements gathering, timeline estimations and derivables.
• Maintain and enhance relationships with clients by providing excellent service and understanding client needs for machine learning applications.
• Collaborate with clients to understand business requirements and translate them into technical specifications.
• Build, develop, and scale AI models that meet business and technical requirements.
• Mentor and manage junior machine learning engineers and data scientists, providing guidance and support.
• Serve as the go-to technical expert in machine learning for both internal and client-facing presentations.
• Ensure that code and models meet quality and performance standards.
• Create detailed reports and documentation for clients and internal stakeholders.

• Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related fields
• Computer science fundamentals in data structures, algorithms, object-oriented programming and MVC architecture.
• Experience with programming languages such as Java, Python, and shell scripts.
• Strong experience in Python and machine learning frameworks like TensorFlow, PyTorch or Keras.
• Hands-on experience with Foundational Language Models (FLMs) and Large Language Models (LLMs).
• Good Knowledge of SoTA algorithms into the fields of Natural Language Processing and Computer Vision.
• Experience working with common NLP/CV libraries such as HuggingFace and OpenMMlab.
• Profitable experience in training deep learning models and deploying into production.
• Knowledge of Git and DVC for version control and collaborative coding.
• Ability to collaborate with the R&D team to develop new algorithms that are not available in popular toolkits.
• High-energy, detail-oriented, and proactive with the ability to function under pressure in an independent environment.
• Excellent communication and presentation skills.
• Strong leadership qualities and experience in managing a team.
• Strong organizational, multi-tasking and time management skills.
• Strong verbal and written communication (in Italian and English); position will involve some engagement with customers as well as internal R&D teams.

• Experience working with most common tools for Model Serving like Triton, Torch Serve and TensorFlow Serving.
• Understanding of basic principles for putting models into production (ONNX, Torchscript, GraphDef...).
• Basic Understanding of GPU usage.
• Knowledge of most common data manipulation libraries such as Pandas and Numpy.
• Basic Understanding of most famous ML Cloud services like Azure Cognitive Services, AWS AI Services, Google Cloud AI and Machine Learning Solutions.
• Ability to read, understand, and write scientific papers.
• Basic Knowledge of unsupervised algorithms such as Clustering and Topic Modeling.
• Experience working with common NLP/CV libraries such as Hugging Face and Facebook Detectron.
• Experience with main Data Science notebooks and libraries like Jupyter and Anaconda.
• Good understanding of GenAI and model orchestration techniques.
• Experience working with most common tools for Model Serving like Triton, Torch Serve and TensorFlow Serving.  
• Understanding of basic principles for putting models into production (ONNX, Torchscript, GraphDef...).
• Knowledge of model deployment strategies, including containerization (Docker, Kubernetes).
• Basic Understanding of GPU usage.
• Knowledge of most common data manipulation libraries such as Pandas and Numpy.
• Basic Understanding of most famous ML Cloud services like Azure Cognitive Services, AWS AI Services, Google Cloud AI and Machine Learning Solutions.
• Ability to read, understand, and write scientific papers.
• Basic Knowledge of unsupervised algorithms such as Clustering and Topic Modeling.
• Experience with main Data Science notebooks and libraries like Jupyter and Anaconda.

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