Senior SW Engineer

Nokia is hiring a Senior SW Engineer. Level rates it ; you can apply on Nokia.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions TensorFlow, MLflow and N8n among its tools and skills.
Level classes it as a senior role.
Nokia has 568 other open roles on Level.

AI in this role

tensorflowmlflown8n

ragml-opsnlp

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.

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.

How we rate this

Senior SW Engineer at Nokia rates 96 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior SW Engineer is an open job at Nokia.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in India.
The job was posted on April 30, 2026.
Seniority: senior.
Applications are handled by Nokia. Apply on Nokia

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAGML OpsNLPTensorFlowMLflowN8n

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used TensorFlow hands-on?
Walk me through how you've used MLflow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: RAG, ML Ops, NLP, TensorFlow, and MLflow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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