Cutting Edge Machine Learning Solutions Specialist

22 hours ago

Belgaum, Karnataka, India beBeeMachine Full time ₹ 15,33,639 - ₹ 24,32,313
Job Title: Machine Learning Engineer

About Us:

We are a world leader in insurance with operations in 54 countries and territories. Our products and services cater to a diverse group of clients across commercial, personal, property, casualty, accident, supplemental health, reinsurance, and life insurance. We have an extensive global presence with local operations, driven by our financial strength and distribution capabilities.

We employ approximately 40,000 people worldwide, working towards building expertise in engineering, analytics, and automation. Our focus is on fostering an environment where everyone can thrive, innovate, and grow.


Role Overview:
We are seeking a talented Machine Learning Engineer with 4 to 10 years of experience to join our team and play a pivotal role in developing and deploying cutting-edge machine learning solutions. The successful candidate will work closely with other engineers and data scientists to bring machine learning models from proof-of-concept to production, ensuring they deliver real-world impact and solve critical business challenges.

Key Responsibilities:
  • Collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
  • Experience of having deployed ML models to production
  • Create high performance real-time inferencing APIs and batch inferencing pipelines to serve ML models to stakeholders.
  • Integrate machine learning models seamlessly into existing production systems.
  • Continuously monitor and evaluate model performance and retrain the models automatically or periodically
  • Streamline existing ML pipelines to increase throughput.
  • Identify and address security vulnerabilities in existing applications proactively.
  • Design, develop, and implement machine learning models for preferably insurance related applications.
  • Well versed with Azure ecosystem
  • Knowledge of NLP and Generative AI techniques. Relevant experience will be a plus.
  • Knowledge of machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) will be a plus.

Benefits:
  • A comprehensive benefits package designed to support your health, well-being, and professional growth.
  • Flexible work options, generous paid time off, and robust health coverage, including dental and vision related requirements.
  • Investment in your future through continuous learning opportunities and career advancement programs.

Application Process:
  1. Submit your application via the Chubb Careers Portal.
  2. Engage with our recruitment team for an initial discussion.
  3. Participate in HackerRank assessments/technical/functional interviews and assessments (if applicable).
  4. Final interaction with Chubb leadership.

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