Junior ML Engineer (On-site)

Translated Srl; Roma; In loco; EUR 40.000 - 50.000; Tempo pieno

Descrizione del lavoro

A leading AI translation services provider in Italy is seeking a Junior ML Engineer to deploy machine learning models and contribute to impactful AI solutions. Candidates should have a Master's degree in a relevant field and proficiency in Java and Python. This full-time position offers a flexible work model with up to 48 remote days per year and a collaborative team environment.

Servizi

Up to 48 remote work days per year

Nature-inspired working environment

Competenze

• Master's degree required.
• Proficiency in Java and Python essential.
• Strong foundation in data structures and algorithms.

Mansioni

• Deploy ML models to address real-world challenges.
• Implement Retrieval-Augmented Generation pipelines.
• Monitor and maintain deployed models for consistent value.

Conoscenze

Java

Python

Data structures

Algorithms

Machine Learning

Formazione

Master's degree in Software Engineering, Computer Science, or related field

Strumenti

RAG pipelines

Descrizione del lavoro

About Translated

Translated is a leading company in AI-enabled translation services. We are on a mission to allow everyone to understand and be understood in their own language. Our success stems from a unique blend of the world’s #1 adaptive neural machine translation technology (IDC MarketScape 2022), the largest network of vetted, native-speaking professional translators, and top-ranked AI-enabled text, audio, and video translation tools (Gartner, 2022).

By leveraging a seamless symbiosis of artificial intelligence and human creativity, we design custom localization projects that were previously unthinkable, helping more than 360,000 clients grow their businesses worldwide.

Role

We are looking for a Junior ML Engineer. As a Junior ML Engineer at Translated, you will contribute to deploying state-of-the-art models in production environments, converting research breakthroughs into practical solutions that enhance and expand our AI services. If you are passionate about making AI technology accessible and impactful, this position offers you the opportunity to make a meaningful impact.

What You’ll Do

• Deploy advanced machine learning models to address real-world challenges, transforming Translated's research from concept to reality and developing impactful AI-driven solutions.
• Implement fast and scalable Retrieval-Augmented Generation (RAG) pipelines.
• Introduce state-of-the-art techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.
• Monitor and maintain deployed models to ensure they consistently provide value, directly impacting the role of AI in serving individuals and businesses.
• Manage project lifecycle autonomously, from planning to deployment, with guidance from senior team members.
• Collaborate with a multidisciplinary team of machine learning researchers, engineers, product owners, designers and system administrators.
• Participate in continuous learning opportunities to stay ahead in the fast-evolving field of AI and Machine Translation.

Requirements

• Master's degree in Software Engineering, Computer Science, Machine Learning, or a related field.
• Proficiency in Java and Python.
• Strong foundation in data structures, algorithms, and software engineering principles.
• Some hands-on experience with Retrieval-Augmented Generation (RAG) pipelines.
• Have an understanding of modern LLM architectures and an intuition for how to optimize their performance, particularly for inference.
• Proactive, self-driven and enjoys solving complex problems, not just in the primary area of responsibility but across boundaries.
• Ability to move quickly in an environment where things may be loosely defined with competing priorities or deadlines.
• Enjoys owning problems end-to-end and is willing to acquire any necessary knowledge to complete the job.
• Excellent communication and teamwork skills, with the capacity to convey technical concepts to non-expert audiences.

Preferred Qualifications

• 2+ years industry/equivalent experience.
• Experience in serving and optimizing LLMs inference processes.

We offer

• Full-time contract. This position requires daily in-office presence, so we are unable to accommodate fully remote work. However, we offer flexibility and up to 48 days remotely per year for a balanced work experience.

Headquarters & Benefits

Translated is hosted at Pi Campus, a working environment with nature-inspired offices to foster talent growth. Pi Campus is also a venture firm created by Translated to reinvest part of its profits into promising AI startups.

Diversity Statement

At Translated, we proudly embrace and celebrate each individual's unique qualities to our team, regardless of race, sexual orientation, gender identity, or other differences. We are an inclusive and equal opportunity employer committed to cultivating an environment where everyone feels welcome, valued, and supported to achieve their full potential.

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