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Job Description

Role: Machine Learning Engineer

Experience: 5-10 Years

Location: Bangalore/Hyderabad

Notice Period: Less than 30 Days

Key Responsibilities:

  • Model Development: Design, develop, and implement machine learning models for various applications, ensuring they are impactful and solve real-world business challenges.
  • Algorithm Selection: Choose and optimize machine learning algorithms and libraries (e.g., TensorFlow, PyTorch) based on project needs.
  • Model Integration: Seamlessly integrate machine learning models into existing production systems.
  • ML Pipeline Development: Build and maintain scalable ML pipelines for training, deployment, and monitoring.
  • Model Monitoring: Continuously monitor model performance and proactively address any issues or improvements.
  • Collaboration: Work closely with data scientists, engineers, and other stakeholders to translate business requirements into technical solutions.
  • Continuous Learning: Stay current on the latest advancements in machine learning, contributing to innovation and the overall success of the team.
  • Production Deployment: Leverage experience in deploying machine learning models into production environments, ensuring high reliability and efficiency.
  • Azure Expertise: Be proficient with the Azure ecosystem, ensuring smooth deployment and management of models.

Required Skills:

  • Programming Languages: Strong proficiency in Python and SQL.
  • ML Tools and Frameworks: Experience with Databricks, TensorFlow, and PyTorch.
  • Cloud Experience: In-depth knowledge of Azure and the Azure ML platform.
  • Machine Learning: Expertise in machine learning models, pipelines, and deployment strategies.
  • AI Techniques: Familiarity with NLP (Natural Language Processing) and Generative AI techniques (experience with these will be a plus).
  • Collaboration: Ability to collaborate effectively with data scientists and software engineers.

Qualifications:

  • A degree in a relevant field (Computer Science, Engineering, or related fields).
  • Experience: Minimum 5-10 years of experience in machine learning engineering, with a proven track record in deploying models to production.
  • Certifications: Relevant certifications (e.g., Azure, Machine Learning) are a plus.

More Info

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About Company

Why Chubb Business Services India
Here are some reasons to join us:
• You will be joining a group of diverse and driven professionals trained to succeed in today’s insurance landscape.
• We provide the opportunity to cultivate a robust career; we accommodate your growth and development even as we expect you to make meaningful contributions to our company.
• We offer competitive compensation and benefit programs. We pride ourselves in being a meritocratic company that rewards the best talent.
• We seek to create an inclusive environment where employees of different cultures and backgrounds can thrive.

Our company and culture
Chubb Business Services India focuses on building strong capability in the areas related to technology, CAT modeling, risk management, actuarial services and advanced analytics. The culture we would like to establish would align with the core principles of the organization as outlined below with the desire to transform and grow together.

Our culture reflects a commitment to craftsmanship and as craftspeople, we adhere to certain ideals:

• A Can-Do Attitude – we are optimistic about our future and we have an enthusiasm to serve our customers and business partners with utmost speed and energy. We approach our work with passion – people want to live their lives with meaning. We have a shared vision to build something great – to serve society and leave the world a little better place because we’ve been here.
• Excellence in All We Do – we hold ourselves to exacting standards of technical proficiency. Customers can count on us to pay claims fairly and quickly. Agents and brokers can rely on us for attention to detail and help them build their businesses
• Constant Improvement – we are a learning organization. We are constantly searching for ways to improve our craft. We relentlessly pursue data-driven insights to drive better, smarter decision-making – our portfolio management efforts, for example.
• Global Reach and Local Expertise – we apply our craft locally all around the world. We appreciate differences in culture, history and geography. And this enables us to adapt accordingly to best serve diverse customers, markets and distribution.

Job ID: 107270305

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