MetLife · 3 days ago
Principal AI Engineer
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Asset ManagementFinancial Services
Insider Connection @MetLife
Responsibilities
Advise executives and business leaders on a broad range of technology, strategy, and policy issues associated with AI
Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, in collaboration with an advanced engineering team, internal partners, and executive leadership
Articulate and document the solutions architecture and lessons learned for each exploration and accelerated incubation
Stay abreast of advancements in the AI and automation market and competitor landscape
Research, develop, and test various language models against internal benchmarks to identify the most optimal model for the given use case
Architecture: Design and develop scalable and efficient AI architectures that leverage state-of-the-art machine learning algorithms, deep learning models, and data processing techniques to solve complex business problems.
Technical Leadership: Provide technical leadership and guidance to the IT software development teams. Drive the adoption of best practices, coding standards, and design principles to ensure high-quality and maintainable AI solutions.
Solution Design: Translate business requirements into technical specifications and design AI solutions that align with the organization's overall technical vision and strategic objectives
Scope, design, and development of low code applications and automation using Microsoft Power Apps and Power Automate individually and with 3rd Party partners.
Qualification
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Required
Bachelor’s Degree in Computer Science, Information Systems, Business Administration, Engineering, or related field.
10+ years of experience in full stack engineering, especially in cloud environments, in a large enterprise
5+ years of Experience with cloud service providers such as Azure (mandatory), AWS & GCP (preferred)
Expertise with the DevSecOps processes and driving improvements to Developer Experience
Two or more years of experience in applying AI to practical and comprehensive technology solutions
Deep understanding of machine learning and AI technologies, including the ability to design, train, and implement machine learning models and use natural language processing techniques for automation.
Knowledge of machine learning algorithms, deep learning frameworks, and AI development libraries.
Strong experience developing Power Automate, and Power apps and other low-code no-code solutions
Knowledge of generative AI platforms and potential applications, specifically experience with Microsoft Azure OpenAI
Experience with ML, deep learning, TensorFlow, Python, NLP
Knowledge of basic algorithms, object-oriented and functional design principles, and best-practice patterns
Experience in REST API development, NoSQL database design, and RDBMS design and optimizations with a strong background in software development, data science, machine learning, and artificial intelligence
Benefits
Comprehensive health plan including medical, prescription drug, vision, and dental insurance
Short- and long-term disability coverage
Company-paid life insurance and legal services
Retirement pension funded entirely by MetLife
401(k) with employer matching
Group discounts on voluntary insurance products
Employee Assistance Program (EAP) and digital mental health programs
Parental leave
Volunteer time off
Tuition assistance
Company
MetLife
MetLife is a provider of insurance, employee benefits, and financial services .
H1B Sponsorship
MetLife has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (61)
2022 (165)
2021 (96)
2020 (78)
Funding
Current Stage
Public CompanyTotal Funding
unknown2000-04-28IPO· fra:MWZ
Leadership Team
Recent News
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