RESI S.p.A. is seeking a Machine Learning Engineer located in the Town of Italy, New York. The ideal candidate will have strong Python development skills and deep knowledge of AI frameworks such as TensorFlow or PyTorch. Responsibilities include work on algorithms and models while understanding data structures and computational complexity. A degree in a relevant field is preferred. Candidates should also be familiar with cloud platforms and DevOps tools.
Qualifications
Strong Python development skills required.
Familiarity with AI frameworks like TensorFlow or PyTorch.
Understanding of mathematical foundations like linear algebra.
Skills
Excellent knowledge of Python
Familiarity with Java, C / C++
Experience with TensorFlow or PyTorch
Knowledge of algorithms (supervised, unsupervised)
Understanding of data structures
Knowledge of LLM models
Understanding of agentic programming principles
Education
Degree in Computer Engineering, Computer Science, or STEM disciplines
Tools
AWS
Microsoft Azure
Google Cloud
Docker
Job description
We are looking for a Machine Learning Engineer with strong Python development skills and deep knowledge of major AI frameworks and models.
REQUIREMENTS
Excellent knowledge of Python
Familiarity with one or more among Java, C / C++
Experience with libraries/frameworks such as TensorFlow or PyTorch
Knowledge of algorithms (supervised, unsupervised, neural networks, transformers) and mathematical foundations (linear algebra, calculus, statistics, probability)
Understanding of data structures, algorithms, and computational complexity
Knowledge of LLM models, both cloud-based and local
Understanding of agentic programming principles, techniques, and frameworks (LangChain, prompting, embeddings, vector stores, RAG)
PREFERRED REQUIREMENTS
Knowledge of Natural Language Processing (NLP) and generative models (Generative AI)
Experience with cloud platforms: AWS, Microsoft Azure, Google Cloud
Knowledge of DevOps/MLOps tools: containers (Docker), orchestration systems, and model lifecycle management
Degree in Computer Engineering, Computer Science, or STEM disciplines