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Join the industry’s leading AI innovators. We are seeking a passionate and talented Artificial Intelligence Engineer to join our IDP platform engineering and R&D team. The ideal candidate has a strong interest in Artificial Intelligence and desires to always get involved into new challenges. Working with us means keeping in touch with the SoTA of AI algorithms and industrializing the research work.
Job Responsibility:
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
Requirements:
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
Nice to have:
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
Knowledge of model deployment strategies, including containerization (Docker, Kubernetes)
What we offer:
A flexible, hybrid workplace
Our fully hybrid model lets you work from wherever you choose
We value work-life balance and support our team with a benefits package focused on health and well-being
Whether remote or in-office, Altilia’s flexible approach empowers you to do your best work
Diversity & inclusion
We’re committed to an inclusive, respectful workplace that values diversity
Recognizing the gender gap in tech, Altilia supports “Women in STEM” through school outreach and scholarships in partnership with universities
Collaborative culture
Altilia thrives on open communication and collaboration
We frequently host brown-bag lunches and informal meet-ups where team members share insights and ideas across all levels, building a sense of purpose and community organization-wide
Continuous learning programs
Professional development is central to our culture, with training plans designed to keep our specialized engineering team at the forefront of AI advancements
We also partner with universities on advanced training, internships, and thesis support for master’s students passionate about AI
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