Sapiens

AI/ML Manager- D&BA (R&D)

14 March 2024
Remote
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Deadline date:
£30000 - £56000

Job Description

Location : Bangalore, India

 

Sapiens International Corporation (NASDAQ and TASE: SPNS) is a leading global provider of software solutions for the insurance industry, with a growing presence in the financial services sector. We offer integrated core software solutions and business services, and a full digital suite for the property and casualty/general insurance; life, pension, and annuities; and reinsurance markets. Sapiens also services the workers’ compensation and financial and compliance markets.

Our portfolio includes policy administration, billing, and claims; underwriting, illustration and electronic application; reinsurance and decision management software. Sapiens’ digital platform features customer and agent portals, and a business intelligence platform. With a 40-year track record of delivering to more than 600+ organizations, Sapiens’ team of over 5,400+ operates through our fully-owned subsidiaries in North America, the United Kingdom, EMEA, and Asia Pacific. For more information: www.sapiens.com.

 

Job Description: AI/ML Manager

 

Criteria’s 

Job Requirements 

 

General Job Description 

The AI/ML Manager at Sapiens will play a pivotal role in shaping and executing the company’s artificial intelligence and machine learning strategy. Leading a team of data scientists and machine learning engineers, the manager will collaborate with cross-functional teams to identify opportunities for AI/ML applications in insurance processes. This role involves overseeing the end-to-end development of machine learning models, implementing best practices, and ensuring compliance with industry regulations. The manager will evaluate and recommend AI/ML technologies to enhance efficiency, while also staying updated on the latest advancements in the field. Collaborating closely with stakeholders, including product managers and csutomers, the AI/ML Manager will translate business requirements into innovative AI/ML solutions. Overall, this position is instrumental in driving the strategic use of AI and machine learning to enhance the company’s insurance products and services. 

 

 

 

 

Pre – requisites Knowledge & Experience 

  • Master’s in Computer Science, Statistics, or a related field. 

  • 3+ years of experience in a managerial role in AI/ML. 

  • Strong background in developing and deploying machine learning models in production and establishing followup business usage and ROI models to measure effectiveness of these models 

  • Previous background in working with AI/ML models with Insurance industry. 

  • Proficiency in Python and relevant libraries/frameworks (e.g., TensorFlow, PyTorch). 

  • Solid understanding of data management, governance, and security. 

  • Knowledge of regulatory compliance in AI/ML practices. 

Required Product/project Knowledge 

  • Understanding of the insurance industry and its processes. 

  • Knowledge of data science and machine learning applications in the insurance domain 

 

 

Required Skills 

  • Programming: Proficient in Python. 

  • Tools/Frameworks: Experience with 2 out of DataBricks, ML Flow, TensorFlow, PyTorch, GPT, LLM and other relevant tools. 

  • Leadership: Ability to lead and mentor a team. 

  • Strategic Thinking: Develop and execute AI/ML strategies aligned with business objectives. 

  • Data Management: Ensure data availability and quality for model training. 

  • Evaluation: Assess applicability of AI/ML technologies and recommend tools/frameworks 

 

Common Tasks 

  • Collaborate with product managers, customers, and other stakeholders. 

  • Implement monitoring systems for model performance. 

  • Evaluate and recommend AI/ML technologies. 

  • Oversee model development from ideation to deployment. 

  • Collaborate with IT and data governance teams. 

 

 

Required Soft Skills 

  • Leadership: Lead and mentor a team of data scientists and engineers. 

  • Communication: Collaborate with cross-functional teams and stakeholders. 

  • Innovation: Drive innovation in AI/ML strategies for insurance products. 

  • Adaptability: Stay updated on the latest advancements in AI/ML technologies. 

  • Ethics: Ensure AI/ML practices comply with industry regulations and ethical standards. 

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