The company is looking to solve operational efficiency, improve quality, enhance risk detection, improve customer experience, and strengthen controls using GenAI tools and technologies.
Requirements
- Exposure to GenAI tools and technologies (e.g., OpenAI, TensorFlow, Hugging Face).
- Strong understanding of cloud platforms (AWS, Azure, Google Cloud) and microservices architecture.
- Proficiency in programming languages such as Python, Java, or similar.
- Familiarity with AI/ML pipelines, Statistics, APIs, and data integration techniques.
- Experienced in Data Wrangling and Dynamic Model Tuning.
- Experienced in supervised and unsupervised ML algorithms such as regression, classification or clustering ML approaches
Responsibilities
- Assist Gen AI use-cases with designing, developing, and implementing scalable & efficient solutions.
- Focused on automating manual and complex operational activities including Suspicious Activity Reports (SAR), KYC reviews, and fraud risk assessments disputes.
- Provide guidance and technical expertise to cross-functional teams during their planning, POC, and production implementation phases.
- Evaluate and recommend tools, frameworks, and methodologies for solution development.
- Monitor project risks and propose mitigation strategies.
- Drive internal improvement by proposing enhancements to existing processes and solutions.
- Drives new data insights to uncover business opportunities & revenue streams.
Other
- Excellent communication and presentation skills.
- Strong problem-solving and analytical abilities.
- Ability to manage multiple priorities and thrive in a fast-paced environment
- Serve as a trusted advisor, fostering effective client relationships.
- 5+ years of experience in solution architecture with Industrial experience is mandatory
