Senior AI Platform Engineer


Applications have closed

The ECDO – Enterprise Chief Data Office – is looking for a full stack AI Engineer with a strong track record in building custom front-ends and full web applications that integrate with ML models. Experience in integrating ML models into existing software, using solutions like Docker and container orchestration on Kubernetes, integrations with cloud providers, build systems, model APIs, retrainable models.

  •  Analyses technical requirements provided by solution architect and translates them into implementable software designs and configurations.
  • Evaluates possibilities with different technologies and platforms.
  • Design, develop and implement AI platform using Cloud architecture with structured and unstructured data source.
  • Follows agile and/or PM practices. Reports the progress of Sprints.
  • Responsible that implemented solution is aligned and based on the solution design provided by solution architect.
  • Inspect and verifies the quality of the Releases before delivery.
  • Can act as a testing specialist, responsible for the quality of software development and deployment. Performing automated and manual tests to ensure the software created by developers is fit for purpose. Handles test planning, risk mitigation and prevention of software issues.
  • Takes care of solution integration and provisioning.
  • Provide production support right after the move into production.
  • Analyze and studies complex systems requirements and troubleshoots and resolves issues in existing software or solution.
  • Provides technical guidance for projects or solution designs.
  • Bachelor’s degree in computer science, IT, related fields with min 7yrs of experience of relevant experience
  • Experience in MLops and excellent understanding of machine learning framework.
  • Knowledge of python programming.
  • Linux Admin and scripting
  • Virtualization and containers
  • Generic DevOps and MLOps tooling.
  • Experience in cloud technologies/cloud computing (GCP, Azure, or AWS) / on premise
  • Strong knowledge and hands-on experience with CI/CD 
  • Hands-on Experience on K8s
  • Understanding of Golang
  • ML ops architecture planning support
  • implementing practical AI solutions within enterprise ecosystems using agile and lean methodologies,
  • Working experience with Opensource Machine learning tools.
  • Continuous improvement mindset
  • Communication skills
  • Basic knowledge of telecom domain.
  • Relevant Knowledge in continuous monitoring (include alerting tools) of the models or risk assessment (Model drift, Concept drift, data drift)

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 💰

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Tags: Agile APIs Architecture AWS Azure CI/CD Computer Science DevOps Docker GCP Golang Kubernetes Linux Machine Learning ML models MLOps Python Testing Unstructured data

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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