Engineer-Artificial Intelligence (AI)
India
Nokia
As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.In this role, you will design and develop Artificial Intelligence models and algorithms to solve Telecom network and business problems. You will work closely with engineering, operations, and site reliability engineering (SRE) teams to ensure seamless integration of Artificial Intelligence into workflows and deliver measurable value across the organization. Additionally, you will partner with engineering and delivery teams to embed Artificial Intelligence solutions into existing systems and processes, driving continuous innovation and operational efficiency.
If you have a flair for Artificial Intelligence and a passion for solving complex problems, this role is for you.
- Design and develop artificial intelligence models and algorithms to address Telecom network and business challenges.
- Integrate Artificial Intelligence solutions into existing systems by partnering with engineering and delivery teams.
- Leverage large language models (LLMs), multi-agent systems, and automation to enhance network operations, including self-healing and incident response.
- Perform research and apply the latest Artificial Intelligence advancements to improve model performance and network resilience.
- Analyze complex data to generate insights for network planning, service management, and automation.
- Document methodologies and spread knowledge to drive ongoing innovation and partnership.
You have:
- An Engineering degree in Computer Science or equivalent (specialization in artificial intelligence will be a plus) with 4+ years of experience in AI, machine learning, or data science .
- Exposure to Telecom, cloud, or network engineering is a plus.
- Practical experience in Python, TensorFlow or PyTorch, LangChain, Hugging Face, and vector databases.
It would be nice if you also had:
- Experience with cloud platforms like AWS, Azure, or Google Cloud, OpenShift/ Kubernetes/Helm, and MLOps tools.
- Familiarity with big data technologies such as Hadoop or Spark.
- Knowledge of natural language processing (NLP) and computer vision.
- Understanding of Telecom networks (5G, 4G, SDN, NFV, OSS/BSS), DevOps, and automation will be a plus.
Come create the technology that helps the world act together
Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people’s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
What we offer
Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
Nokia is committed to inclusion and is an equal opportunity employer
Nokia has received the following recognitions for its commitment to inclusion & equality:
- One of the World’s Most Ethical Companies by Ethisphere
- Gender-Equality Index by Bloomberg
- Workplace Pride Global Benchmark
At Nokia, we act inclusively and respect the uniqueness of people. Nokia’s 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.
Join us and be part of a company where you will feel included and empowered to succeed.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Computer Science Computer Vision DevOps Engineering GCP Google Cloud Hadoop Helm Kubernetes LangChain LLMs Machine Learning MLOps NLP Python PyTorch Research Spark TensorFlow
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