Job Description
What you'll do in the role:
Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
Develop prototypes to demonstrate model capabilities, advanced usage patterns.
Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap
Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience
This is a customer-facing role and excellent soft communications skills are mandatory.
Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. What you'll bring to the role:
Bachelor's or a master's degree in computer science or related field, or equivalent job experience
8 - 12 years of experience in software engineering, design, and development
Experience developing GenAI applications
Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
Strong desire and ability to influence development teams and help them adopt AI.
Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
Desired Skills:
Experience working with application development teams to enable them to build AI based applications.
Ability to create code samples to be shared with application teams.
Experience working with cloud providers, preferably Azure, but also AWS, GCP
Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI
Experience working in a large, regulated industry such as Financial Services, Insurance etc.
Experience building AI applications, preferably Generative AI and LLM based apps.
Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
Understanding of Model Ops/ ML Ops/ LLM Ops
Build Proof of Concepts and example code through which developers can leverage GenAI models to solve common problems or patterns to enable GenAI adoption at scale
Develop prototypes to demonstrate model capabilities, advanced usage patterns.
Collaborate with AI engineers to prioritize capabilities for firmwide platform roadmap
Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain, and Sematic Kernel.
Troubleshoot customer adoption of genAI platform capabilities; update user documentation and provide feedback to platform engineering teams to improve future customer experience
This is a customer-facing role and excellent soft communications skills are mandatory.
Have an application developer mindset and build common, reusable solutions to scale Generative AI use cases using pre-trained models as well as fine-tuned models. What you'll bring to the role:
Bachelor's or a master's degree in computer science or related field, or equivalent job experience
8 - 12 years of experience in software engineering, design, and development
Experience developing GenAI applications
Strong hands-on proficiency in Python and machine learning specific libraries like numpy, opencv, scikit-learn, pandas, matplotlib, seaborn, etc.
Understanding of AI/ML Lifecycle and basic understanding of systems like mlflow, Dataiku, databricks.
Broad understanding of data engineering (SQL, NoSQL, Big Data), data governance, data privacy and security
Demonstrated experience in DevOps, understanding of CI/ CD. Hands on experience with managing code in code repositories such as Bit Bucket and GitHub.
Understanding of how deep learning works, understanding of Machine Learning frameworks such as TensorFlow or PyTorch
Ability to articulate technical concepts effectively to diverse audiences. Excellent communication skills.
Strong desire and ability to influence development teams and help them adopt AI.
Demonstrated ability to work effectively and collaboratively in a global organization, across time zones, and across organizations
Desired Skills:
Experience working with application development teams to enable them to build AI based applications.
Ability to create code samples to be shared with application teams.
Experience working with cloud providers, preferably Azure, but also AWS, GCP
Experience building applications using AI development services on prominent cloud platforms such as Azure Open AI, Azure AI Foundry, Azure Search, Azure Cognitive Services, AWS Bedrock, AWS Sagemaker, Google Vertex AI
Experience working in a large, regulated industry such as Financial Services, Insurance etc.
Experience building AI applications, preferably Generative AI and LLM based apps.
Experience working with Generative AI development, embeddings, fine tuning of Generative AI models.
Understanding of Model Ops/ ML Ops/ LLM Ops
💡 Quick Summary
Seeking a career-building opportunity? The AI Solution Engineering Specialist position is now open for candidates interested in the Bank Jobs sector. This role in Glasgow offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.