Data Driven Solutions Architect

1 week ago

Aligarh, Uttar Pradesh, India beBeeMachineLearning Full time ₹ 1,20,00,000 - ₹ 2,50,00,000
Job Description

About Us

We are a leading global insurance company, driven by underwriting and engineering excellence.

Our digital transformation journey is exciting, with a focus on fostering an environment where everyone can thrive, innovate, and grow.

We encourage a start-up mindset that promotes collaboration, diverse perspectives, and a solution-driven attitude. We empower 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
  • Job Title: ML Ops Engineer / Lead ML Ops Engineer
  • Function/Department: Technology
  • Location: Hyderabad/Bangalore/Bhubaneshwar
  • Employment Type: Full Time
Key Responsibilities

We are seeking a talented and passionate 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. You 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.

  • 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.
  • Stay up-to-date on the latest advancements in machine learning and contribute to ongoing innovation within the team.
Benefits

We offer a comprehensive benefits package designed to support our employees' health, well-being, and professional growth.

  • Savings and Investment plans: We provide specialized benefits like Corporate NPS, Employee Stock Purchase Plan, Long-Term Incentive Plan, 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, Yearly Free Health campaigns and comprehensive Insurance benefits.
Application Process

Our recruitment process is designed to be transparent, and inclusive.

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

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