We are looking for a Generative AI Specialist to join our Data Science team to work on the AI first “Risk and Fraud solutions” for Fintech. The ideal candidate will be adept at developing and implementing generative AI models(LLMs/SLMs) to automate the Risk/Fraud process and work flow .
Key Responsibilities:
- Develop and Implement Generative AI Models: Design and deploy AI models to automate work flow and enhance operational efficiency.
- Collaborate with Cross-Functional Teams: Work closely with data scientists, software engineers, and domain experts to integrate AI solutions into existing systems.
- API Integration: Develop and manage APIs to ensure seamless integration of AI models with various applications and platforms.
- Agentic Flow Implementation: Apply agentic flow principles to optimize AI-driven processes and workflows.
- Stay Current with AI Advancements: Keep abreast of the latest developments in generative AI and machine learning to inform and enhance project outcomes.
Qualifications:
- Educational Background: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
- Experience: 8 to12 years of experience in Data Science with at least 1-2 years focused on generative AI.
- Technical Proficiency:some text
- Strong programming skills in Python and familiarity with AI frameworks such as TensorFlow or PyTorch.
- Sound knowledge of ML concepts and its application and ability to formulate solutions, baseline it and improve upon them with ML algorithms. Expertise in NLP and LL/SL models. Worked on fine-tuning LLMs and Transformer based models for business solutions. Knowledge in statistical methodologies to be able to measure metrics of large dataset and leveraging statistical based sample methods.
- Experience working with big data - identifying trends, patterns, and outliers in large volumes of data.
- Proficient in developing and integrating APIs.
- Familiarity with AWS is desirable
- Analytical and Problem-Solving Skills: Ability to analyze complex problems and develop innovative AI-driven solutions.
- Communication Skills: Strong verbal and written communication abilities to effectively collaborate with team members and stakeholders.
Preferred Qualifications:
- Experience in the fintech industry or fraud detection applications is desirable
- Familiarity with agentic flow methodologies.
- Knowledge of data security and privacy considerations in AI applications.
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About Monnai
Monnai (monnai.com) is building the world's largest consumer insights infrastructure to help businesses make smarter, data-driven decisions across the customer lifecycle—from Acquisition and Onboarding to Decisioning and Collections.
Monnai's single source API can offer Behavioral Insights, Demographic / Psychographic Data, Alternative Financial Data, Digital Footprints and 500+ insights, enriched with proprietary data for hard-to-verify geographies and demographics, leveraging advanced machine learning and data analytics.. Our solutions are trusted by leading digital lenders, fintechs, and financial institutions across the U.S., LATAM, India, and Southeast Asia to reduce fraud, increase approvals, and unlock growth opportunities.
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