GenAI Engineer
? Location: Milan or Turin, Italy (Hybrid)
?️ Language Requirement: Fluent in Italian and proficient in English
About Us
Machine Learning Reply is at the forefront of innovation, delivering cutting-edge AI and machine learning solutions across industries.
We develop state-of-the-art assets and prototypes with a focus on both traditional AI/ML and Generative AI, enabling clients to unlock new opportunities and accelerate digital transformation.
We are expanding our team and looking for a passionate Machine Learning & Generative AI Engineer to join our journey in shaping the future of AI-driven applications.
What You’ll Do
As part of our team, you will:
- Design, develop, and deploy end-to-end machine learning and deep learning solutions for real-world applications.
- Build and fine-tune predictive models (classification, regression, recommendation, NLP, computer vision).
- Research, develop, and optimize generative AI models (LLMs, SLMs) and integrate them into client solutions.
- Implement data pipelines, perform data preprocessing, and manage large-scale datasets.
- Develop and maintain benchmarking tools to evaluate both traditional ML models and generative AI systems.
- Leverage frameworks such as scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools.
- Collaborate with cross-functional teams to deliver AI-powered products from concept to deployment.
- Stay updated on the latest research in machine learning, AI, and Generative AI to continuously improve solutions.
What We’re Looking For
- Experience: 1+ years in a similar role (internships and academic projects welcome).
- Technical Skills:
- Strong understanding of machine learning and deep learning techniques (e.g., supervised/unsupervised learning, NLP, computer vision).
- Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of Generative AI concepts, large language models (LLMs), and fine-tuning techniques.
- Familiarity with LangChain, LangGraph, or LlamaIndex is a plus.
- Solid programming skills in Python and experience with cloud platforms (Azure, AWS, or GCP).
- Good understanding of data engineering practices and database management (SQL/NoSQL).
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, or related fields.
- Language: Fluent in Italian (spoken and written) and proficient in English.
- Soft Skills: Strong problem-solving mindset, adaptability, ability to work in dynamic environments, and excellent communication skills.
What we Offer
- An offer tailored to your experience. This position is open to people with varying levels of expertise and seniority. The compensation package will be determined based on your professional background, technical skills, expertise, and the level of responsibility associated with the role. The collective labour agreement (CCNL) applied is the Italian Metalworking Industry Agreement. The job classification will be assessed starting from level B1, and the gross annual salary (RAL) will range from €31,000 to €45,000. Previous experience with cutting-edge technologies such as Agentic AI, Foundation Model and LLM training, fine-tuning, and optimization will be considered a strong asset.
- A structured career path.
Our Career
Path offers opportunities to grow both as a technical specialist and as a future leader. Your ambitions, the skills you develop, and the results you achieve will shape your professional journey.
- Continuous learning. Technology evolves rapidly - and so do we. You will join an environment that encourages curiosity, continuous learning, and the exploration of new ideas and emerging technologies.
- The benefits of being a Replyer. You will also have access to the benefits and initiatives dedicated to our community.
Why Join Us?
- Opportunity to work on cutting-edge AI projects blending traditional ML and Generative AI.
- A collaborative, dynamic environment that fosters professional and personal growth.
- Access to state-of-the-art tools and infrastructure to experiment and innovate.
?️ Language Requirement: Fluent in Italian and proficient in English
About Us
Machine Learning Reply is at the forefront of innovation, delivering cutting-edge AI and machine learning solutions across industries.
We develop state-of-the-art assets and prototypes with a focus on both traditional AI/ML and Generative AI, enabling clients to unlock new opportunities and accelerate digital transformation.
We are expanding our team and looking for a passionate Machine Learning & Generative AI Engineer to join our journey in shaping the future of AI-driven applications.
What You’ll Do
As part of our team, you will:
- Design, develop, and deploy end-to-end machine learning and deep learning solutions for real-world applications.
- Build and fine-tune predictive models (classification, regression, recommendation, NLP, computer vision).
- Research, develop, and optimize generative AI models (LLMs, SLMs) and integrate them into client solutions.
- Implement data pipelines, perform data preprocessing, and manage large-scale datasets.
- Develop and maintain benchmarking tools to evaluate both traditional ML models and generative AI systems.
- Leverage frameworks such as scikit-learn, PyTorch, TensorFlow, LangChain, LlamaIndex, or similar tools.
- Collaborate with cross-functional teams to deliver AI-powered products from concept to deployment.
- Stay updated on the latest research in machine learning, AI, and Generative AI to continuously improve solutions.
What We’re Looking For
- Experience: 1+ years in a similar role (internships and academic projects welcome).
- Technical Skills:
- Strong understanding of machine learning and deep learning techniques (e.g., supervised/unsupervised learning, NLP, computer vision).
- Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch.
- Knowledge of Generative AI concepts, large language models (LLMs), and fine-tuning techniques.
- Familiarity with LangChain, LangGraph, or LlamaIndex is a plus.
- Solid programming skills in Python and experience with cloud platforms (Azure, AWS, or GCP).
- Good understanding of data engineering practices and database management (SQL/NoSQL).
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, Engineering, or related fields.
- Language: Fluent in Italian (spoken and written) and proficient in English.
- Soft Skills: Strong problem-solving mindset, adaptability, ability to work in dynamic environments, and excellent communication skills.
What we Offer
- An offer tailored to your experience. This position is open to people with varying levels of expertise and seniority. The compensation package will be determined based on your professional background, technical skills, expertise, and the level of responsibility associated with the role. The collective labour agreement (CCNL) applied is the Italian Metalworking Industry Agreement. The job classification will be assessed starting from level B1, and the gross annual salary (RAL) will range from €31,000 to €45,000. Previous experience with cutting-edge technologies such as Agentic AI, Foundation Model and LLM training, fine-tuning, and optimization will be considered a strong asset.
- A structured career path.
Our Career
Path offers opportunities to grow both as a technical specialist and as a future leader. Your ambitions, the skills you develop, and the results you achieve will shape your professional journey.
- Continuous learning. Technology evolves rapidly - and so do we. You will join an environment that encourages curiosity, continuous learning, and the exploration of new ideas and emerging technologies.
- The benefits of being a Replyer. You will also have access to the benefits and initiatives dedicated to our community.
Why Join Us?
- Opportunity to work on cutting-edge AI projects blending traditional ML and Generative AI.
- A collaborative, dynamic environment that fosters professional and personal growth.
- Access to state-of-the-art tools and infrastructure to experiment and innovate.