Design and implement AI models, operationalize ML models, develop CI/CD pipelines for ML workflows, and provide technical guidance while ensuring data security compliance.
We are looking for a talented and experienced Applied R&D Engineer to join our innovative team. In this role, you will have the opportunity to work on a diverse range of projects, utilizing your expertise in AI, Machine Learning, and MLOps. Your contributions will be vital in driving our company's success and shaping the future of our AI-powered solutions.
Responsibilities
About the Team
- Design and implement AI models, leveraging your expertise in AI/ML algorithms and frameworks.
- Collaborate with stakeholders and engineers to operationalize ML models, ensuring efficient and effective deployment.
- Develop and maintain CI/CD pipelines for ML workflows, optimizing the model training and evaluation process.
- Utilize your understanding of RAG, neural networks, and other AI/ML concepts to enhance model performance.
- Work closely with customers to understand their needs and deliver tailored ML solutions.
- Stay updated with the latest advancements in AI and MLOps, ensuring our company remains at the forefront of technology.
- Provide technical guidance and mentorship to junior team members, fostering a culture of knowledge sharing.
- Ensure data security and privacy compliance in all ML projects, adhering to industry best practices.
- Collaborate with cross-functional teams to integrate ML models into existing systems and processes.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 8+ years of experience in AI/ML development, including hands-on experience with MLOps tools and serving frameworks, such as Mlflow, n8n, flyte ,TorchServe, etc for model deployment, and Model Context Protocol for Agentic AI Tools.
- Proficiency in programming languages such as Python, Java, and TypeScript, with a strong understanding of software development principles.
- Expertise in data handling, particularly SQL, for efficient data management and analysis.
- Experience with MLOps tools and serving frameworks, such as TensorFlow Serving and TorchServe, for model deployment.
- Strong background in model engineering and improvement, with a track record of successful model deployment and productionalization.
- Familiarity with Natural Language Processing (NLP), LLMs and its applications in AI/ML projects.
- Understanding of CI/CD practices and the ability to develop and maintain pipelines for ML workflows.
- Excellent problem-solving and analytical skills, with a proactive approach to identifying and resolving technical challenges.
- Strong communication and collaboration skills, with the ability to work effectively in a dynamic team environment.
Advancing connectivity to secure a brighter world.
Nokia is a global leader in connectivity for the AI era. With expertise across fixed, mobile and transport networks, powered by the innovation of Nokia Bell Labs, we’re advancing connectivity to secure a brighter world.
Learn more about life at Nokia.
Our recruitment process
We act inclusively and respect the uniqueness of people. Our employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law. We are committed to a culture of inclusion built upon our core value of respect.
If you’re interested in this role but don’t meet every listed requirement, we still encourage you to apply. Unique backgrounds, perspectives, and experiences enrich our teams, and you may be just the right candidate for this or another opportunity.
The length of the recruitment process may vary depending on the specific role's requirements. We strive to ensure a smooth and inclusive experience for all candidates. Discover more about the recruitment process at Nokia.
Some of our benefits in India:
- Flexible and hybrid working arrangements to support work–life balance
- Health and well-being support – medical insurance for you and your family, health check-ups, life and accident insurance, well-being programs, and employee resource groups
- A minimum of 90 days of Maternity and Paternity Leave based on eligibility
- Personal Support Service 24/7 – a confidential support channel open to all Nokia employees and their families in challenging situations
- Career growth & mobility – technical career paths, job rotations, international assignments, and relocation support
- Continuous learning – technical certifications, mentoring programs, coaching, and digital learning platforms
- Opportunities to innovate and contribute through Nokia’s research and development environment
- Recognition programs that celebrate outstanding contributions
- Workplace support – ergonomic working support and mobile device programs based on eligibility
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