Machine Learning Engineer

• Develop and deploy machine learning models to enhance our disinformation detection.
• Work with large datasets to train and validate models using Python and popular machine learning libraries.
• Collaborate with data engineers to ensure data integrity and efficient data pipelines.
• Integrate machine learning algorithms into existing web applications and services.
• Participate in cross-functional teams to define, design, and ship new machine learning features.
• Conduct code reviews and enhance the machine learning development process.
• Troubleshoot, debug, and upgrade machine learning systems.
• Write clean, efficient, and maintainable code while implementing security and data protection.

Do you have experience in Python?, Do you have a Master’s degree?, We are looking for Machine Learning Engineer with a minimum of two years expertise in Python and multimodal multi-agentic RAG., * Programming Language: Python, C++/Rust (optional)

• ML/DL Frameworks: PyTorch (Preferred), Hugging Face (Transformers, Datasets, Tokenizers)
• Data Processing: Pandas, NumPy

Generative AI & LLMs

• LLM Orchestration (RAG): LangChain, LangGraph, LlamaIndex or similar
• Vector Databases: Qdrant, FAISS, or similar
• Fine-Tuning: Experience with fine-tuning techniques (e.g., PEFT, LoRA, QLoRA) on open-source models (e.g., Llama, Mistral), alignment-tuning (e.g. DPO, ORPO).
• APIs: OpenAI, Anthropic, Gemini, etc.
• Inference: vLLM, llama.cpp, SGLang, etc.

MLOps & Deployment

• Containerization: Docker
• Orchestration: Kubernetes (K8s) (for scalable inference)
• Cloud Platform: AWS, GCP, or Azure (experience with S3, EC2/GCE, and a managed Kubernetes service like EKS/GKE is a strong plus)
• Experiment Tracking: Weights & Biases (W&B) or MLflow
• Version Control: Git / GitHub

Specialised

• Multi-Agent Systems: AutoGen, CrewAI, LangGraph
• Multimodal: Experience with models or techniques for handling images/video (e.g., Qwen3, Whisper, etc.)

Pulled from the full job description

• Employee stock purchase plan
• Sick pay
• Company pension
• On-site gym