Director - Automation and AI Architect overseeing centralized data hub enabling collaboration for analytics and AI at Novartis.
About the role
- Lead AI Engineer developing and managing AI infrastructure at FINRA. Collaborate with teams on building AI models for accurate predictions and data management.
Responsibilities
- Create and manage the AI development process and overall infrastructure for AI-powered products
- Build AI models that generate accurate predictions at scale, including Context optimization, Comprehensive evaluation, and Transform machine learning models into APIs
- Develop and maintain infrastructures for data transformation and ingestion
- Locate, extract, and pull data from diverse sources to support AI model development
- Conduct comprehensive statistical analysis and interpret results to guide organizational decision-making
- Automate critical infrastructure components for the data science team
- Ensure data quality and integrity throughout the AI development pipeline
- Coordinate effectively with cross-functional team members, including data scientists, software engineers, and product managers
- Explain the functionality and business value of AI models to stakeholders across various technical backgrounds
- Collaborate with product teams to understand requirements and translate them into technical solutions
- Present findings and recommendations to both technical and non-technical audiences
- Develop and maintain scalable AI infrastructure and deployment pipelines
- Optimize model performance and ensure efficient resource utilization
- Implement best practices for model versioning, testing, and monitoring
- Stay current with emerging AI technologies and industry best practices
Requirements
- Bachelor’s degree in Computer Science, Information Systems or related discipline
- at least 7 years of related experience, or equivalent training and/or work experience
- Strong system design experience
- Strong experience in object-oriented development
- Strong experience with cloud technologies
- Strong experience in data storage technologies
- Strong experience in performance tuning and optimization
- Strong experience in DevOps and CI/CD technologies
- Strong experience test automation and unit testing
- Strong experience software security
Benefits
- comprehensive health, dental and vision insurance
- basic life, accidental death and dismemberment, supplemental life, spouse/domestic partner and dependent life, and spouse/domestic partner and dependent accidental death and dismemberment insurance
- short- and long-term disability insurance
- long-term care insurance
- business travel accident insurance
- legal insurance
- immediate participation and vesting in a 401(k) plan with company match
- eligibility for participation in an additional FINRA-funded retirement contribution
- tuition reimbursement
- commuter benefits
- adoption assistance
- backup family care
- surrogacy benefits
- employee assistance programs
- wellness programs
- 15 days of paid time off
- 5 personal days
- 9 sick days
- two volunteer service days
- military leave
- jury duty leave
- bereavement leave
- voting and election official leave for federal, state or local primary and general elections
- family member leave (available after 90 days of employment)
- childbirth and parental leave (available after 90 days of employment)
- nine paid holidays
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