Software Engineer - Machine Learning Operations, IKEA

Software Engineer - Machine Learning Operations

IKEA

Location:

India, Bangalore

Category:

IT - Software Development

Contract Type:

Employment contract

Salary:

Not provided

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Job Description:

We are creating a better everyday life for the modern lives of the many people, and we need your help to do it! Our team is building a new Machine Learning Platform to help improve time to market for AI/ML models. Enable a platform for Standardization & Compliance and infrastructure for Auditability by Design. Platforming for scale & optimization, exploring the Generative AI space, and ensuring forward-thinking solutions toward scalable system design. Join a diverse team focused on innovation and cross-functional collaboration.

Job Responsibility:

Building software that meets the team’s & company’s engineering standards
Contribute to all aspects of the platform lifecycle, with a focus on engineering (including new product ideas)
Lead and promote good software engineering practices within an agile/iterative development approach to improve time to market and fulfill business needs
Partner closely with engineering manager
Onboard, coach and mentor engineers in order to secure transfer of competence and a high performing team
Design and educate other engineers in ways of working, encouraging good practices to meet consumer expectations on Product or Service delivery
Define solution architecture and contribute to the landscape architecture
Define, maintain, and improve our integration and delivery pipeline
Explore and apply new technologies suitable for our product
Take responsibility for the product, all the way from ideation to runtime
Continuously nurture skills towards areas such as system architecture, infrastructure management, software development and platform engineering

Requirements:

Formal qualifications in computer science, software engineering, or any engineering equivalent
Minimum 7 years of professional experience as software engineer with similar level of experience in the specific tech stack for the area
Minimum 3 years’ experience of working in agile/iterative software development teams with a DevOps working setup and with an emphasis on self-organization and delivery to agreed commitments
Deeply knowledgeable in cloud native development
Has a security-by-design mindset and knowledge
Knowledge of architectural design patterns
Strong analytical skills and ability to solve complex problems at scale
Excellent written and verbal English communication skills

Nice to have:

Experience working with open-source technologies like Seldon core, MLFlow, Evidently, ZenML, Feast, K-Native, Apache Kafka etc
Experience with CI/CD tools like Jenkins or GitHub Actions
Experience of working knowledge on Docker, Kubernetes (k8s) and REST API is a must
Have solid experience in MLOps practices, developing ML Pipelines, and deploying ML Models to production
Have strong background in Python Programming and hands-on experience in GCP, Vertex AI and/or Azure AI
Have solid foundations on the DevOps principles and possess hands-on-experience with modern DevOps practices
Familiar with agile ways of working, team collaboration, date-driven development, reliable, and responsible experimentation
Exposure to scalable, highly available, fault tolerance and secure system design and implementation

Additional Information:

Job Posted:

March 26, 2025

Employment Type:

Fulltime

Work Type:

On-site work

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