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

Req ID: 53002

Location:

Bangalore, IN

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.