Senior Python Engineer with AI Exposure

DataArt is looking for a Senior Python Engineer to design, develop, and deploy AI and ML-driven solutions that enhance business capabilities and automate complex processes. You will work on productionizing models at scale, leveraging your expertise in machine learning, large language models, and cloud-native technologies to deliver impactful results.

Key responsibilities

• Design, build, and deploy machine learning and generative AI models, including LLMs, transformers, and RAG pipelines.
• Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies.
• Implement CI/CD pipelines for machine learning models and MLOps workflows to ensure efficient model lifecycle management.
• Build RAG architectures leveraging vector databases such as Pinecone, FAISS, or Azure AI Search.
• Collaborate with cross-functional teams to translate business requirements into robust technical AI solutions.

Requirements

• Strong proficiency in Python, including libraries such as NumPy, Pandas, PyTorch, and TensorFlow.
• Hands-on experience with LLMs and open-source Agentic AI frameworks like LangChain, LangGraph, or CrewAI.
• Deep understanding of machine learning algorithms, NLP, deep learning, and vector embeddings.
• Experience with cloud platforms such as Azure, AWS, or GCP and containerization tools like Docker and Kubernetes.
• Familiarity with MLOps tools such as MLflow, Kubeflow, or Amazon SageMaker.

What we offer

• Up to 26 business days of vacation per year and 10 fully paid illness/special days off.
• Comprehensive health and life insurance coverage.
• Access to MyBenefit platform with Multisport options and internal psychological support.
• Extensive professional development through English classes, certification reimbursements, and access to learning platforms like O’Reilly and Udemy.
• Opportunities to participate in tech mentoring programs and internal knowledge-sharing initiatives.