Senior ML/AI Engineer

Aether Biomedical; Deutschland; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Flexible remote/office

Bonuses for activities

Generous time off

Learning programs

Tech webinars

Zusammenfassung

Svitla Systems Inc. is seeking a Senior ML/AI Engineer for a full-time position in Europe. You will develop, train, evaluate, and deploy ML models, focusing on classification, retrieval, NLP, and LLM-based tasks, with strong Python and data manipulation skills.

You will build retrieval-augmented generation workflows, fine-tune foundation models, and apply prompt engineering using HuggingFace, LangChain, and vector search tools. Remote or hybrid work options exist with competitive compensation.

Qualifikationen

• Strong ML background with classification and retrieval tasks, incl. LLM experience.
• Proficiency in Python programming.
• Experience with LLM fine-tuning and RAG workflows.
• Familiarity with Faiss and vector search tools.
• Experience deploying ML models in production environments.

Aufgaben

• Develop, train, evaluate, and deploy ML models.
• Work on classification, retrieval, NLP, and LLM-based tasks.
• Build and optimise retrieval-augmented generation workflows.
• Create fine-tuned large language models for specific use cases.
• Use foundation model APIs and apply prompt engineering techniques.
• Prepare, clean, manage, and manipulate datasets for ML development.

Kenntnisse

Python

ML

NLP

LLMs fine-tuning

RAG

Prompt engineering

Pandas/NumPy

Git/GitHub

Faiss

Ausbildung

Bachelor's degree in CS/Math

Tools

Hugging Face Transformers

Weights & Biases

LangChain/LlamaIndex

Hydra

GitHub Actions

Jobbeschreibung

Svitla Systems Inc. is looking for a Senior ML/AI Engineer for a full-time position (40 hours per week) in Europe. Our client is an American mobile computing company. They provide AI innovation and acceleration for the company's Business Units and are working on CV and GenAI solutions with an emphasis on device inference (Mostly Qualcomm chipsets). Researchers create/fine‑tune models and hand them over to the engineering team to optimise, quantize, etc. The team then builds an application solution with customers to demonstrate value. The perfect candidate should have strong Python programming skills, hands‑on experience with data manipulation, and a solid background in machine learning, particularly in classification and retrieval tasks. This role requires practical experience with large language models, NLP, retrieval‑augmented generation, prompt engineering, and modern ML development tools.

Requirements

• A solid background in machine learning, particularly in classification and retrieval tasks, as well as hands‑on experience with large language models (LLMs), including fine‑tuning for specific use cases, retrieval‑augmented generation (RAG), foundation model APIs, and prompt engineering.
• Strong understanding of programming with Python.
• Solid knowledge of machine learning and artificial intelligence.
• Experience with classification and retrieval tasks.
• Hands‑on experience with large language models.
• Experience with at least some of the following:LLM fine‑tuning;Retrieval‑augmented generation;Foundation model APIs;Prompt engineering.
• Knowledge of Pandas and NumPy.
• Good understanding of NLP concepts.
• Familiarity with Faiss or similar nearest‑neighbor search tools.
• Experience with Hydra for configuration management.
• Experience with Weights & Biases for experiment tracking.
• Experience with Git and GitHub.
• Expertise in data management and manipulation.
• Strong problem‑solving and analytical abilities.
• Experience working with shared codebases, remote teams, and remote servers.
• Nice to have
• Understanding of vector search and embedding‑based retrieval.
• Familiarity with LLM evaluation and optimization.
• Knowledge of MLOps practices.
• Experience deploying ML models in production environments.
• Experience with cloud‑based ML infrastructure.
• Familiarity with LangChain, LlamaIndex, or similar LLM frameworks.

Responsibilities

• Develop, train, evaluate, and deploy machine learning models.
• Work on classification, retrieval, NLP, and LLM‑based tasks.
• Build and optimise retrieval‑augmented generation workflows.
• Create fine‑tuned large language models for specific use cases.
• Use foundation model APIs and apply prompt engineering techniques.
• Prepare, clean, manage, and manipulate datasets for ML model development.
• Use Python libraries such as Pandas and NumPy for data analysis and preprocessing.
• Work with Hugging Face Transformers and Datasets libraries.
• Apply Faiss or similar tools for efficient nearest‑neighbor search and retrieval tasks.
• Use Hydra for configuration management.
• Use Weights & Biases or similar tools for experiment tracking.
• Collaborate with team members on shared codebases and remote projects.
• Use Git and GitHub for version control and collaborative development.
• Work on remote servers to develop, test, and deploy machine learning models.

Offerings

We offer US and EU projects based on advanced technologies.

• Competitive compensation based on skills and experience.
• Regular performance appraisals to support your growth.
• Flexibility in workspace, either remote or our welcoming office.
• Bonuses for article writing, public talks, and other activities.
• Generous time off, including vacation, national holidays, sick leaves, and family days.
• Personalised learning programs tailored to your interests and skill development.
• Free tech webinars and meetups organised by Svitla.
• Regular corporate online activities.
• Awesome team and a friendly, supportive community!