AI Engineer

Argela’s mission isn’t simply to provide solutions for the present; it’s to generate innovative technologies for the future of communication. We do this through applying our extensive telecom experience to a rigorous, dynamic research and development process. Our goal is to continue our standing as a leader in the information technologies through focusing on actual market needs like Network & Customer Analytics, Subscriber & Service Analytics, Deep Packet Inspection Solutions, Secure Network Infrastructures, software-defined networking (SDN) with network functions virtualization (NFV).

To reach our goal, we are looking for the best talent, as outlined in the responsibilities below;

Responsibilities

• Develop and deploy end-to-end AI/ML solutions: data exploration, feature engineering, model development, validation, and production deployment
• Extract, clean, and transform data from various sources (databases, APIs, logs, etc.)
• Design and implement LLM-powered applications (chatbots, summarization, Q&A, etc.) using RAG and fine-tuning where necessary
• Collaborate closely with product, data, and engineering teams to turn AI research into real-world impact
• Stay up to date with the latest advancements in machine learning, deep learning, and generative AI

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field
• Strong experience in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
• Solid understanding of NLP and hands-on experience with LLMs (e.g., GPT, LLaMA, Claude)
• Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and prompt engineering
• Experience with MLOps tools and practices (e.g., MLflow, DVC, Docker, Kubernetes) is a plus
• Ability to work independently and manage multiple priorities in a fast-paced environment

Nice to Have

• Experience with real-time AI applications in telecom or customer service
• Exposure to LangChain, Hugging Face Transformers, OpenAI APIs
• Previous involvement in deploying AI models in production environments

Location: Istanbul, Ankara

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