AI & ML Architect/Specialist

India

Nokia

As a technology leader across mobile, fixed and cloud networks, our solutions enable a more productive, sustainable and inclusive world.

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In this role, you will drive the end-to-end development and deployment of AI/ML solutions on Cloud, applying your expertise in machine learning, MLOps, and GenAI. You will mentor junior engineers by establishing best practices and guiding solution design. Additionally, you will design, implement, and optimize advanced machine learning algorithms using robust data science techniques, while driving the scaling and adoption of AI/ML technologies to meet strategic business objectives.

If you have a passion for AI, cloud-based ML solutions, and driving scalable innovation, this role is for you.

  • Architect and develop AI/ML use cases on Cloud, driving projects from discovery and proof of concept through industrialization, deployment, and ongoing maintenance.
  • Mentor and guide junior engineers in defining robust methodologies and evaluating the most effective technical solutions.
  • Propose, implement, test, and select optimal machine learning algorithms by leveraging advanced statistical tools and data science techniques to uncover insights and generate accurate predictions.
  • Drive the rapid scaling and integration of AI and ML technologies to enhance system performance and support strategic business objectives.

You have:

  • Bachelor’s or master’s degree in computer science, Engineering, or related field with 8+ years of experience in machine learning, data science, and statistics.
  • Expertise in ML algorithms with strong Python and SQL skills, including Jupyter notebooks.
  • Proven knowledge of GenAI and Agentic AI technologies.
  • Hands-on experience with MLOps tools like Kubeflow, Vertex AI, and GenAI/LLMops.
  • Grip on, Kubernetes, Docker, and microservices architecture.

It would be nice if you also had:

  • Experience with OpenAI, Llama, and Lang Chain frameworks.
  • Practical experience in Pytest and Rust programming.
  • Prior experience developing AI applications in the telecom domain.
  • Google Cloud Professional Machine Learning Engineer certification.

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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science Docker Engineering GCP Generative AI Google Cloud Jupyter Kubeflow Kubernetes LLaMA LLMOps Machine Learning Microservices MLOps OpenAI Python Rust SQL Statistics Vertex AI

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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