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Nokia brand plus senior, specialized LLM/MLOps focus limits qualified applicant density, but generic title mildly increases interest.
Role requires deep ML/LLM engineering and MLOps expertise, making background transfer across industries difficult.
Mandatory 10–12 years and specific LLM, RAG, MLOps, cloud, and IaC skills create high filtering.
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Design, develop, and maintain AI/ML software solutions for next-generation systems, including APIs and automation workflows.
Support software configuration management, CI/CD, and automation of build and deployment to improve development efficiency.
Mentor DevOps engineers, coordinate team activities, and drive continuous improvement in automation and operational processes.
Bachelor’s degree.
10-12 years of experience in AI/ML engineering and solution development.
Strong expertise in AI/ML engineering, solution architecture, and end-to-end AI solution delivery, including RAG, prompt engineering, vector databases, embeddings, and model evaluation.
Hands-on experience with LLMs, generative AI, agentic AI frameworks, APIs, automation platforms, version control, testing, CI/CD, deployment, and responsible AI principles (governance, security, privacy).
Experienced in building intelligent applications using agent orchestration frameworks and generative AI technologies in production environments.
Skilled in integrating service automation and deploying cloud-based AI/ML solutions (Azure, AWS, GCP) with MLOps and Infrastructure as Code practices.
Capable of leading cross-functional teams, mentoring engineers, and driving operational excellence in AI/ML software development and automation.