Ml Engineer

About Chubb

Chubb is a world leader in insurance. With operations in 54 countries and territories, Chubb provides commercial and personal property and casualty insurance, personal accident and supplemental health insurance, reinsurance and life insurance to a diverse group of clients. The company is defined by its extensive product and service offerings, broad distribution capabilities, exceptional financial strength and local operations globally. Parent company Chubb Limited is listed on the New York Stock Exchange (NYSE: CB) and is a component of the S&P 500 index. Chubb employs approximately 43,000 people worldwide. Additional information can be found at: www.chubb.com.

About Chubb India

At Chubb India, we are on an exciting journey of digital transformation driven by a commitment to engineering excellence and analytics. We are proud to share that we have been officially certified as a Great Place to Work for the third consecutive year, a reflection of the culture at Chubb where we believe in fostering an environment where everyone can thrive, innovate, and grow.

With a team of over 2500 talented professionals, we encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We are dedicated to building expertise in engineering, analytics, and automation, empowering our teams to excel in a dynamic digital landscape.

We offer an environment where you will be part of an organization that is dedicated to solving real-world challenges in the insurance industry. Together, we will work to shape the future through innovation and continuous learning.

Position Details:

• Function/Department

  : Advanced Analytics

• Location

  : Bangalore, India

• Employment Type:

  Full-time

• Role Overview

  ML Engineer

We are seeking a highly skilled Machine Learning Engineer to join our team. The ideal candidate will possess a strong background in Machine learning (ML), Deployments and Python programming. This role involves collaborating closely with data scientists, product managers, and data engineers to design, develop, and deploy high-performance AI/ML models.

Responsibilities:

• Collaborate with cross-functional teams to design and deliver high-performance AI models
• Deploy OR and ML solutions into the cloud.
• Train, tune, and optimize AI/OR models and algorithms for enhanced performance.
• Implement complex real-time data and AI/ML applications to capture knowledge and automate decision-making processes.
• Create ML/AI models for business teams and establish metrics to track their accuracy and performance.
• Oversee the full lifecycle of algorithm development, from ideation to deployment and monitoring.
• Evaluate and rank ML algorithms based on their potential success in solving specific problems.
• Serve as an internal resource for AI/ML needs, providing guidance and insights to stakeholders during strategic discussions.

Requirements

• Minimum of 5-7 years of experience in ML engineering with large-scale production systems.
• Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes).
• Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn).
• Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must.
• Building python wheels and debugging build process.
• Data pipeline building and debugging (by creating and following log traces).
• Basic knowledge of DevOps practices.
• Concepts of Unit Testing and Test-Driven development.
• SDE skills like OOP and Functional programming are an added advantage.
• Experience with Databricks and its ecosystem is an added advantage.

Machine Learning:

• Proficient in Machine Learning techniques both supervised and unsupervised
• Expertise in using ML/AI libraries such as Pandas, NumPy, PyTorch, TensorFlow and traditional ML algorithms (3+ years)

• Deployments:

• Implementation of CI/CD pipeline using GitHub Actions or Jenkins
• knowledge of external tools like SonarQube, Prisma scan.

• Python Programming and Software Engineering

• Expertise in Pythonic clean coding practices, including the use of decorators, generators, and descriptors (3+ years).
• Strong understanding of software design principles such as DRY, OAOO, YAGNI, KIS, EAFP/LBYL, and defensive programming (2+ years).
• Proficient in software design concepts focusing on cohesion and coupling (2+ years).
• Knowledge of SOLID principles (2+ years).
• Good understanding of OOPS concepts and LLDs

Education and Experience:

• Minimum Bachelor's degree or foreign equivalent in Computer Science, Electrical Engineering, or a closely related field.
• At least 3 years of experience as a software engineer and 3 years of ML-related programming.

We look forward to welcoming an experienced Machine Learning Engineer who is ready to tackle exciting challenges and contribute to our innovative projects. If you meet the qualifications and are passionate about AI/ML, we encourage you to apply

Why Chubb?

Join Chubb to be part of a leading global insurance company!

Our constant focus on employee experience along with a start-up-like culture empowers you to achieve impactful results.

• Industry leader:

  Chubb is a world leader in the insurance industry, powered by underwriting and engineering excellence

• A Great Place to work:

  Chubb India has been recognized as a Great Place to Work for the years 2023-2024 and 2024-2025

• Laser focus on excellence

  : At Chubb we pride ourselves on our culture of greatness where excellence is a mindset and a way of being. We constantly seek new and innovative ways to excel at work and deliver outstanding results

• Start-Up Culture

  : Embracing the spirit of a start-up, our focus on speed and agility enables us to respond swiftly to market requirements, while a culture of ownership empowers employees to drive results that matter

• Growth and success

  : As we continue to grow, we are steadfast in our commitment to provide our employees with the best work experience, enabling them to advance their careers in a conducive environment

Employee Benefits

Our company offers a comprehensive benefits package designed to support our employees’ health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, and robust health coverage, including treatment for dental and vision related requirements. We invest in the future of our employees through continuous learning opportunities and career advancement programs, while fostering a supportive and inclusive work environment. Our benefits include:

• Savings and Investment plans: We provide specialized benefits like Corporate NPS (National Pension Scheme), Employee Stock Purchase Plan (ESPP), Long-Term Incentive Plan (LTIP), Retiral Benefits and Car Lease that help employees optimally plan their finances
• Upskilling and career growth opportunities: With a focus on continuous learning, we offer customized programs that support upskilling like Education Reimbursement Programs, Certification programs and access to global learning programs.
• Health and Welfare Benefits: We care about our employees’ well-being in and out of work and have benefits like Hybrid Work Environment, Employee Assistance Program (EAP), Yearly Free Health campaigns and comprehensive Insurance benefits.

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