Infosys is seeking an accomplished GenAI Lead Consultant with expertise in Data Science, Machine Learning (ML), and Generative AI to drive transformative solutions for their financial services clients.
Requirements
- Proven expertise in generative AI technologies (e.g., GPT, BERT, Stable Diffusion) and their application in financial services.
- Proficiency in Python, R, or Scala and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, Hugging Face, LangChain).
- Expertise in cloud platforms (AWS, Azure, GCP) and MLOps tools (e.g., Kubeflow, MLflow, SageMaker).
- Experience with big data technologies (e.g., Hadoop, Spark, Snowflake) and databases (SQL, NoSQL).
- Knowledge of financial modeling, time-series analysis, and risk analytics.
- Strong experience in drafting and responding to RFPs, RFIs, and other proposal documents with a focus on technical and business alignment.
- Deep knowledge of financial services domains, including risk management, fraud detection, customer analytics, and regulatory compliance.
Responsibilities
- Design, development, and deployment of advanced machine learning and generative AI models (e.g., LLMs, GANs, diffusion models) to address complex financial services challenges
- Performing hands-on data analysis, feature engineering, and model optimization to deliver high-performance solutions
- Leading the creation and submission of high-quality responses to Requests for Proposals (RFPs), Requests for Information (RFIs), and other client solicitations, clearly articulating technical and business value.
Other
- Candidate must live within commuting distance of Charlotte, NC, or be willing to relocate.
- This position may require travel in the US.
- Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply.
- Ability to communicate complex technical concepts to non-technical stakeholders effectively.
- The job may entail extensive travel. The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.
