CareersInCloud
 Swiss Re logo

Swiss Re Hiring Platforms Engineer I

Swiss Re

Bangalore, Karnataka, IndiaSoftwarefull-timePosted 19 May 2025Active

Swiss Re off campus drive : Job Overview

Company Swiss Re
LocationBangalore, Karnataka, India
CategorySoftware
Employment Typefull-time
Posted19 May 2025
StatusActive

Job Description

Platforms Engineer I at Swiss Re

Company: Swiss Re
Job Role: Platforms Engineer I (Machine Learning Operations)
Qualification: Bachelor's or Master’s degree in Computer Science, Data Science, Machine Learning, or related field
Batch: Any
Experience: 1+ years in machine learning model development, deployment, and maintenance

Job Location: Bangalore, Karnataka, India


Follow Us:

@Instagram


About Swiss Re

Swiss Re is a global leader in reinsurance, insurance, and insurance-based risk transfer, working to make the world more resilient. With more than 14,000 employees worldwide, Swiss Re embraces an inclusive culture that fosters fresh perspectives, innovation, and sustainability.

The Opportunity

Join Swiss Re’s GDS Machine Learning Operations team as a Platforms Engineer I and contribute to building, optimizing, and maintaining machine learning models. Collaborate with business groups to anticipate client needs, implement MLOps and LLMOps best practices, and ensure secure and cost-effective systems.

Key Responsibilities

  • Design, develop, test, deploy, and retrain machine learning models and algorithms with data scientists and engineers
  • Implement big data processing workflows and pipelines for large-scale datasets
  • Promote and apply MLOps and LLMOps best practices for model deployment, monitoring, and maintenance
  • Maintain and enhance data science and machine learning platforms for performance and reliability
  • Collaborate with business stakeholders to understand needs and deliver tailored ML solutions
  • Ensure security and cost-efficiency of systems and solutions

About You

Essentials

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or related field
  • 1+ years experience in machine learning model development, deployment, and maintenance
  • Proficiency in Python, R, or similar programming languages
  • Experience with ML frameworks like TensorFlow, PyTorch, or Scikit-learn
  • Familiarity with big data tools such as Spark
  • Knowledge of MLOps and LLMOps tools and practices (Docker, Kubernetes, MLflow, etc.)
  • Willingness to learn Swiss Re's Palantir Foundry platform (prior experience a plus)
  • Strong analytical and problem-solving skills
  • Excellent communication skills for technical and non-technical stakeholders
  • Prior experience in reinsurance or financial services is a plus

Behavioural Competences

  • Strong customer orientation and joy in user communication
  • Commitment to quality and timeliness
  • Curiosity for exploring evolving technologies like cloud, Generative AI, and NLP
  • Persistence in making emerging tech accessible
  • Enjoyment of work alongside delivering results

Tags

#MachineLearning #MLOps #LLMOps #DataScience #Python #TensorFlow #PyTorch #BigData #Spark #Kubernetes #Docker #PalantirFoundry #BangaloreJobs #SwissRe #TechJobs

Ready to apply?

You'll be redirected to the company's site

Disclaimer

CareersInCloud is an independent job information platform. We are not affiliated with, endorsed by, sponsored by, or acting on behalf of any company listed on this website. We do not represent any employer, nor do we operate as a recruiter or hiring agency.

All job listings are sourced from publicly available information, including official company career pages and other public sources. CareersInCloud does not claim ownership of any job listing content. All company names, logos, brand identities, and trademarks referenced on this platform are the intellectual property of their respective owners and are used solely for identification and informational purposes.

CareersInCloud makes no representations or warranties regarding the accuracy, completeness, legality, or timeliness of any listing. We shall not be held liable for any loss, damages, or inconvenience arising from reliance on information published on this platform.

CareersInCloud does not charge any fee for accessing job information. Candidates are strongly advised to verify all listings independently and apply only through the official career websites of the respective companies.