AI Engineer (Production ML / ML Ops)

Job title: AI Engineer (Production ML / ML Ops)

About the Role We are seeking a hands-on AI Engineer to design, build, and deploy production-ready AI and machine learning systems. The engineer will collaborate with data scientists, architects, and product teams to transform models and AI concepts into scalable, reliable applications.

What You'll Do

• Design, develop, train, and deploy machine learning and deep learning models for production use
• Build and maintain end-to-end AI/ML pipelines, covering data preparation, model development, deployment, monitoring, and continuous improvement
• Integrate AI capabilities into applications through APIs, microservices, and scalable backend services
• Work with LLMs, RAG pipelines, and AI agents where relevant to product needs
• Optimize models and AI services for performance, scalability, latency, and cost efficiency
• Implement and improve CI/CD and MLOps practices to automate the model lifecycle
• Monitor models and AI services in production, ensuring reliability, accuracy, and stable performance
• Collaborate with data scientists, software engineers, DevOps/MLOps engineers, and product teams to deliver AI-driven features

What We're Looking For

• Strong programming skills in Python and/or TypeScript/C#
• Experience with ML frameworks such as PyTorch, TensorFlow, or Scikit-learn
• Hands-on experience deploying AI/ML models to production environments
• Experience building or integrating APIs, microservices, and distributed systems
• Familiarity with cloud platforms such as Azure, AWS, or GCP
• Understanding of MLOps practices, including CI/CD, model monitoring, versioning, and automated deployment
• English level: B2 or higher

Nice to Have

• Experience with Generative AI, LLMs, or RAG architectures
• Familiarity with vector databases such as Pinecone, Weaviate, or similar tools
• Understanding of data pipelines and streaming systems
• Experience with model evaluation frameworks

Compensation & Benefits

• The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional growth and development; Health insurance; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.