Chief Data Science Leader

2 days ago

Gandhinagar, Gujarat, India beBeeMachineLearning Full time ₹ 21,62,400 - ₹ 24,45,200

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 40,000 people worldwide.

About Chubb India

We are driving digital transformation through our commitment to engineering excellence and analytics. We have been officially certified as a Great Place to Work for the third consecutive year. Our culture fosters an environment where everyone can thrive, innovate, and grow.

With over 2500 talented professionals, we encourage collaboration, diverse perspectives, and a solution-driven attitude. We build expertise in engineering, analytics, and automation, empowering teams to excel in a dynamic digital landscape.

Join us to be part of an organization dedicated to solving real-world challenges in the insurance industry.

  • Job Title: ML Ops Engineer / Lead ML Ops Engineer
  • Function/Department: Technology
  • Location: Hyderabad/Bangalore/Bhubaneshwar
  • Employment Type: Full Time

Role Overview:

Seeking a talented Machine Learning Engineer with 4 to 10 years of experience to develop and deploy cutting-edge machine learning solutions. Collaborate with engineers and data scientists to translate business needs into technical solutions.

  • Collaborate with stakeholders to drive innovation.
  • Deploy machine learning models to production.
  • Create high performance APIs and batch inferencing pipelines.
  • Integrate machine learning models seamlessly into existing systems.
  • Continuously monitor and evaluate model performance.
  • Streamline existing pipelines to increase throughput.
  • Identify and address security vulnerabilities proactively.
  • Design, develop, and implement machine learning models.
  • Well versed with Azure ecosystem.
  • Knowledge of NLP and Generative AI techniques.
  • Knowledge of machine learning algorithms and libraries.
  • Stay up-to-date on the latest advancements in machine learning.
Why Join Us?

Be at the forefront of digital transformation in the insurance industry.

Lead impactful initiatives that simplify claims processing and enhance customer satisfaction.

What Makes Us Special?

Great Place to Work recognition for three consecutive years.

Industry leader in the insurance industry.

Start-up-like culture empowers employees to achieve impactful results.

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