Senior ML Engineer

Svitla Systems Inc. is looking for a Senior ML 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 optimize, quantize, etc. The team then builds an application solution with customers to demonstrate value.

We are seeking a highly skilled and motivated Machine Learning Engineer with strong expertise in programming, problem-solving, machine learning, and artificial intelligence.

The ideal 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. The ideal candidate is a hands-on Machine Learning Engineer who can work independently and collaboratively on LLM/NLP-focused tasks.

Requirements

• Strong Python programming skills.
• Strong problem-solving and analytical abilities.
• 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.
• Experience with Pandas and NumPy.
• Good understanding of NLP concepts.
• Familiarity with Hugging Face Transformers and Datasets.
• 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.
• Strong data management and manipulation skills.
• Experience working with shared codebases, remote teams, and remote servers.

Will be a plus

• Experience with vector search and embedding-based retrieval.
• Experience with LLM evaluation and optimization.
• Experience with 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 optimize retrieval-augmented generation workflows.
• Fine-tune 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.