ADCI HYD 13 SEZ
Applied Science, finance
AppliedScientistII,SheriffTeamPayrolltech
“Applied Scientist II, Sheriff Team- Payroll tech at ADCI HYD 13 SEZ. Skills: ML, Generative AI, LLM, Policy extraction. Develop and maintain ML applications. Develop and maintain Generative AI applications”
What You'll Achieve.
Improve pay experience; Improve ticket resolution; Enable efficient information retrieval; Ensure data accuracy; Drive model accuracy; Drive scientific innovation; Drive global scale; Enable accurate responses; Enable low-latency responses; Scale reliably
Industry & Context.
Anomaly detection; Ticket prioritization; Defect classification; Information retrieval; Data accuracy validation; Rule evaluation; Model accuracy; Latency optimization; Stability; Reuse; Established frameworks; Data integration; ML pipeline workflows
What They're Looking For.
Must Have
3+ years building models, PhD or Master's degree, 4+ years CS, CE, ML experience, Experience in patents or publications, Experience programming in Java, C++, Python, Experience in algorithms and data structures, Experience in parsing, Experience in numerical optimization, Experience in data mining, Experience in parallel and distributed computing, Experience in high-performance computing
Nice to Have
Experience using Unix/Linux, Experience in professional software development, Experience communicating research findings, Experience with ML and LLM fundamentals, Experience leading and influencing teams, Experience in machine learning, Experience in data mining, Experience in information retrieval, Experience in statistics, Experience in natural language processing, Experience developing and deploying LLMs, Experience with training and deploying ML systems, Experience with data infrastructures, Experience using customer service skills, Experience using communication skills, Experience using interpersonal skills
What You'll Do.
Develop and maintain ML applications
Develop and maintain Generative AI applications
Improve pay experience
Identify pay input irregularities
Improve ticket resolution
Provide intelligent ticket prioritization
Perform sentiment scoring
Perform ticket summarization
Perform defect classification
Enable payroll operations teams to retrieve information
Retrieve information from policies
Retrieve information from Percept data
Retrieve information from vendor data
Retrieve information from HR data
Integrate with Amazon AZA
Eliminate third-party vendor dependency
Validate pay instructions
Create policy-based rules
Power rule evaluation system
Advance ML capabilities
Advance GenAI capabilities
Drive scientific innovation
Operate across three core dimensions
Invent LLM approaches
Design ML methodologies
Design LLM methodologies
Define research agenda
Expand Percept capabilities
Lead scientific strategy
Enable accurate responses
Enable low-latency responses
Power real-time validation
Power real-time calculation
Integrate ML components into production
Support large-scale applications
Make tradeoffs between accuracy and latency
Make tradeoffs between innovation and stability
Favor established frameworks
Make progress semi-autonomously
Implement at correct complexity
Evaluate emerging technologies
Integrate models robustly
Integrate pipelines robustly
Contribute to tactical planning
Contribute to strategic planning
Lead scientific strategy for global expansion
Drive country-level launches
Own AI track for integration
Collaborate across partner teams
Ensure seamless data integration
Ensure robust ML pipeline workflows
Drive scientific roadmap
Ensure ML models scale reliably
Champion best practices
Increase developer productivity
Increase delivery velocity
Provide peer feedback
Grow organizational knowledge
Serve as Program Committee member
Review articles for publications
How You'll Work.
Team & Collaboration
Partner teams; Cross-team collaboration
Communication Scope
Research findings; Analysis
Process & Methodology
Roadmaps
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