GenAI​/ML Engineer Finance Tech - Associate Vice President

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* Design, develop, and deploy end-to-end GenAI solutions, including
** chatbot development**, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in real-world project implementation is essential.
* ** Process and analyze both structured and unstructured data
** to train and optimize GenAI models, leveraging techniques for information extraction and knowledge representation.
* Collaborate effectively with a team of AI/ML engineers, contributing to expertise in GenAI technologies and best practices, including RAG pipelines, vector databases, prompt engineering techniques, and chatbot development.
* Implement best practices for GenAI development, ensuring code quality, security, maintainability, and scalability of production-ready applications.
* Collaborate with other technical teams to seamlessly integrate GenAI solutions into existing systems and workflows.
* ** Utilize text-to-SQL
** to efficiently query and retrieve data from relational databases, integrating this data into GenAI pipelines.
* Conduct continuous research and evaluation of emerging GenAI technologies, recommending and implementing relevant solutions.
* Contribute directly to the codebase and participate in technical decision-making, demonstrating hands-on technical expertise in GenAI implementation.
* Work closely with stakeholders to understand business needs and translate them into effective technical solutions using GenAI.
* Bachelor's or Master’s degree in computer science, Engineering, or a related field.
* 5-8 years of software engineering experience with a strong focus on AI/ML solutions.
* 2+ years of real-world experience in implementing GenAI solutions, including demonstrable experience deploying production-ready GenAI and
** Chatbot applications**.
* Understanding of GenAI models and architectures, with practical experience applying these models to real-world problems.
* ** Strong Python programming skills
** with extensive experience using relevant packages for GenAI and chatbot development.
* ** Experience processing and analyzing both structured and unstructured data**, utilizing techniques like NLP and information retrieval.
* Ability to design and implement RAG pipelines.
* Hands-on experience with LLMs like Llama, Gemini, and GPT-4.
* ** Proficiency in text-to-SQL implementation leveraging LLMs
** for data extraction and insight generation from relational databases.
* Experience with cloud platforms and MLOps tools.
* Good understanding of Agentic AI concepts with POC exposure as an added advantage.
* Strong understanding of software engineering principles.
* Excellent communication, collaboration, and problem-solving skills.
* Experience in utilizing AI tools for development and deployment.
* Experience with financial data and applications.
* Familiarity with specific GenAI applications in finance.
* Contributions to open-source projects related to GenAI or machine learning.
* ** Programming

Languages:

** Python (strong proficiency required), potentially Java or Scala.
* ** Python Packages:
** Transformers, Lang Chain, Lang Graph, Tensor Flow, PyTorch, Pandas, Num Py, Scikit-learn, Flask/Django, Requests, Beautiful Soup, SQL Alchemy, and other relevant packages for data processing, web development, chatbot development, and database interaction.
* ** Deep Learning Frameworks:
** Tensor Flow, PyTorch
* ** GenAI Libraries/Frameworks:
** Transformers (Hugging Face), Lang Chain, Lang Graph
* ** LLMs:
** Llama, Gemini, GPT-4
* ** Vector Databases:
** Postgres

DB
* ** Cloud Platforms:
** AWS, Azure, or GCP
* ** MLOps Tools:
** MLflow, Kubeflow
* ** Data Science Libraries:
** Pandas, Num Py, Scikit-learn
* ** Containerization:
** Docker, Kubernetes
* ** Version Control:
** Git
* ** Databases:
** SQL databases (e.g., Postgre

SQL, MySQL, SQL Server) –
** experience with text-to-SQL is essential**.
* Design, develop, and deploy end-to-end GenAI solutions, including
** chatbot development**, for diverse financial applications such as personalized financial advice, fraud detection, risk management, and automated reporting. Experience in…