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Software Engineer - AI Platform (Renewable Contract)

Salary undisclosed

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Our client, a leading financial institution, is seeking a Software Engineer to join their team and contribute to the development and maintenance of their AI platform. In this role, you will play a key part in building and implementing AI solutions, supporting technology projects, and promoting technology adoption within the banking sector.

Key Responsibilities

• Design, develop, and implement AI/ML models to enhance platform capabilities.

• Develop and manage AI models from proof-of-concept to production, ensuring seamless integration and deployment.

• Work with large datasets, optimize data pipelines, and ensure data quality for AI applications.

• Train, validate, and fine-tune machine learning models, ensuring they meet performance and accuracy requirements.

• Deploy AI models into production environments and monitor performance, making necessary adjustments to maintain optimal operation.

• Write clean, scalable, and efficient code to support AI-driven features.

• Manage data flow and infrastructure for effective AI deployment.

• Work closely with product managers, data scientists, and other engineers to deliver innovative AI solutions.

Requirements:

• Bachelor's or Master's degree in Computer Science, Information Systems, Mathematics, Engineering, or a related field.

• 4+ years in AI/ML development, software engineering, or related roles.

• Technical Skills:

• Strong knowledge of data tools (e.g., Python, Tableau, Airflow), SQL, MLOps, and LLM frameworks (e.g., LangChain, LlamaIndex) is an advantage.

• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes) is a plus.

• Familiarity with NLP, computer vision, or deep learning models is an advantage.

• Proficiency in at least one of the following programming languages: .NET, Java, VBA, Shell Script, Python.

• Experience with relational databases such as MySQL, Oracle.

• Familiarity with AI concepts, machine learning algorithms, and techniques.

• Experience in the financial services industry or regulatory technologies is a plus.