Catalyst for Change: Machine Learning Engineer
2 days ago
Imagine a world where cutting-edge machine learning solutions transform industries and improve lives. As an ML Ops Engineer, you have the power to shape this reality.
A leading insurance company seeks a talented Machine Learning Engineer with 4 to 10 years of experience to join their team. In this pivotal role, you will collaborate with data scientists, model developers, software engineers, and other stakeholders to translate business needs into technical solutions.
Your expertise in deploying ML models to production, creating high-performance real-time inferencing APIs, and integrating machine learning models seamlessly into existing production systems will be invaluable. Additionally, your ability to streamline existing ML pipelines, identify and address security vulnerabilities, design and develop machine learning models for insurance-related applications, and stay up-to-date on the latest advancements in machine learning will drive innovation within the team.
Why This Role?- Be at the forefront of digital transformation in the insurance industry, leading impactful initiatives that simplify claims processing and enhance customer satisfaction.
- Work alongside experienced professionals in a collaborative, innovation-driven environment, fostering growth, and continuous learning.
This company offers a comprehensive benefits package designed to support employees' health, well-being, and professional growth. Employees enjoy flexible work options, generous paid time off, robust health coverage, including treatment for dental and vision related requirements, and continuous learning opportunities and career advancement programs.
The employee benefits include savings and investment plans, upskilling and career growth opportunities, and health and welfare benefits. A supportive and inclusive work environment ensures employees thrive in their roles.
How to ApplyOur recruitment process is designed to be transparent and inclusive. Submit your application via the careers portal, engage with our recruitment team for an initial discussion, participate in assessments/technical interviews, and final interaction with leadership.
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