AI/ML Engineer
1 month ago
We are seeking an experienced AI/ML Engineer to join our team at TFO. The ideal candidate will have a strong background in building and deploying large language models (LLMs) with a focus on prompt engineering. This role requires expertise in ensuring models adhere to the highest standards of data privacy, confidentiality, and ethical AI practices.
Responsibilities:
Develop and deploy AI/ML models with a focus on LLMs, ensuring models are ethical, responsible, and compliant with internal data security policies.
Design prompts and AI models that handle sensitive financial data securely and ensure that no internal data is exposed to external or public model providers.
Collaborate with stakeholders to translate business requirements into secure, scalable, and confidential AI solutions.
Build, fine-tune, and deploy LLMs using on-premise solutions or secure, compliant cloud environments that align with company data governance policies.
Technical Expertise:
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
3+ years of experience in AI/ML engineering with a focus on NLP, LLMs, and prompt engineering.
Proven experience in deploying and fine-tuning large language models (e.g., GPT, BERT) while maintaining data privacy and security.
Background in Azure Cloud, hands-on experience with Azure DataBricks, DataLake, and expertise in Python, SQL, and key ML libraries (e.g., PyTorch, TensorFlow) with a focus on ethical AI practices.
Strong understanding of data governance, encryption techniques, and privacy-preserving methods like federated learning.
Familiarity with secure cloud environments (e.g., private cloud, hybrid cloud) and MLOps practices.
Agile/Digital Experience:
Experience working in Agile environments with multiple stakeholders, with a track record of delivering secure and compliant AI/ML solutions.
Proven ability to integrate AI models with wealth management processes while ensuring data confidentiality.
Strong communication and collaboration skills to bridge technical and business teams.
Individual Skills:
Proactive problem solver with a focus on building ethical and responsible AI solutions.
Ability to stay current with the latest advancements in AI, particularly around responsible AI, privacy, and security.
Analytical mindset with experience in designing and evaluating experiments with privacy-preserving techniques.
Effective verbal and written communication skills to convey technical concepts securely to non-technical audiences.
Mindset and Behaviors:
High attention to detail with a focus on minimizing bias, ensuring data privacy, and optimizing model security.
Willingness to mentor junior team members in ethical AI practices and data confidentiality.
Thrives in a fast-paced environment with a focus on building solutions that are secure and compliant.
Open-minded approach to exploring new methodologies while adhering to best practices in AI ethics and data security.
agile, mlops, nlp, models, llms, azure cloud, data governance, ai/ml engineering, tensorflow, problem solving, ml, python, prompt engineering, agile environment, azure databricks, data, datalake, encryption techniques, communication skills, data privacy, ethical ai practices, federated learning, sql, pytorch
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