7 months ago
India (city not specified)Senior
Responsibilities
- Design and implement AI models using AI/ML algorithms and frameworks.
- Operationalize, deploy, serve, and integrate ML models into existing systems and processes.
- Develop and maintain CI/CD pipelines for ML training, evaluation, and deployment workflows.
- Apply RAG, neural networks, NLP, LLMs, and related AI/ML concepts to improve model performance.
- Work with customers to understand their needs and deliver tailored ML solutions.
- Stay current with advancements in AI and MLOps.
- Provide technical guidance and mentorship to junior team members.
- Ensure data security and privacy compliance across ML projects.
- Collaborate with cross-functional stakeholders and engineers on ML initiatives.
Requirements
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in AI/ML development.
- Hands-on experience with MLOps tools and model-serving frameworks, including MLflow, n8n, Flyte, TorchServe, or TensorFlow Serving.
- Experience with Model Context Protocol for agentic AI tools.
- Proficiency in Python, Java, and TypeScript.
- Strong understanding of software development principles and SQL-based data handling.
- Background in model engineering, improvement, deployment, and productionalization.
- Familiarity with NLP, LLMs, and their applications in AI/ML projects.
- Understanding of CI/CD practices and ML workflow pipelines.
- Strong problem-solving, analytical, communication, and collaboration skills.
Tech Stack
Categories
About Nokia
Nokia builds telecom network equipment and software—covering mobile (4G/5G RAN and core), IP and optical networking, fixed access, and related services—for communications service providers, enterprises, and governments. The company also conducts advanced research through Nokia Bell Labs. Founded in 1865 and headquartered in Espoo, Finland, Nokia is a public company with global operations and long-standing relationships with major mobile network operators worldwide.