Data Scientist / AI Engineer İş İlanı

Job Description We are looking for a Data Scientist / AI Engineer who can combine strong Python programming skills, machine learning expertise, and modern Generative AI technologies to develop and deploy production-ready AI solutions. The ideal candidate has hands-on experience delivering end-to-end AI projects, particularly in LLMs, RAG architectures, and AI-powered applications , and can collaborate effectively with technical and business teams. Key Responsibilities Design, develop, and deploy AI and machine learning solutions for real-world business problems. Build LLM-based applications using Retrieval-Augmented Generation (RAG) , prompt engineering, embeddings, and vector databases. Develop and optimize AI pipelines, data processing workflows, and model inference services using Python. Take AI solutions from experimentation and prototyping to production deployment, monitoring, and continuous improvement. Evaluate model performance, accuracy, latency, scalability, and cost to ensure reliable production use. Work with structured and unstructured data to develop predictive models, NLP solutions, and intelligent applications. Collaborate with software engineers, data engineers, product managers, and business stakeholders throughout the project lifecycle. Translate business requirements into practical AI solutions and communicate technical concepts clearly to both technical and non-technical audiences. Follow best practices for version control, testing, API development, documentation, and maintainable code. Requirements Strong hands-on experience with Python and its data science and machine learning ecosystem. More than 5 years of experience in the related field Experience developing and deploying AI/ML solutions in production environments . Practical knowledge of LLMs, Generative AI, RAG architectures, embeddings, and prompt engineering . Experience with machine learning algorithms, model training, evaluation, and optimization. Familiarity with frameworks and libraries such as PyTorch, TensorFlow, Scikit-learn, Hugging Face, LangChain, or LlamaIndex . Experience with vector databases and semantic search technologies such as FAISS, Pinecone, Weaviate, or Chroma. Experience developing REST APIs and integrating AI models into software applications. Understanding of data preparation, feature engineering, model evaluation, and data processing pipelines. Strong communication and problem-solving skills, with the ability to explain technical findings and recommendations clearly. Proven ability to take ownership of projects, work collaboratively, and deliver solutions from concept to production. Nice to Have Experience with AI agents, tool calling, and multi-step LLM workflows. Knowledge of cloud platforms such as AWS, Azure, or Google Cloud. Experience with Docker, Kubernetes, CI/CD, model serving, and MLOps practices. Familiarity with LLM evaluation, hallucination reduction, guardrails, and observability. Experience with NLP, information retrieval, recommendation systems, or predictive analytics. Experience working directly with clients or business stakeholders to define requirements and present project outcomes. Ideal Candidate Profile We are looking for someone who combines the analytical mindset of a Data Scientist with the engineering capabilities of an AI Engineer. The ideal candidate has delivered real-world AI projects, understands the challenges of production environments, keeps up with emerging LLM and RAG technologies, and communicates effectively with both technical teams and business stakeholders.