AI Data Engineer
This role supports SLC Management s continued investment in artificial intelligence and machine learning to drive datainformed decisionmaking across global portfolios. The selected professional will take a senior position in a team responsible for designing and deploying advanced AI/ML systems with applications in investment research risk management and portfolio optimization.
This is an opportunity to join a collaborative and forwardthinking environment at the intersection of finance insurance and technology where innovation meets realworld impact.
What is in it for you:
Salaried: $7882 per hour.
Incorporated Business Rate: $9296 per hour.
12month contract.
Fulltime position: 37.50 hours per week.
Work schedule from 9 am to 5 pm.
Hybrid work: 3 days per week inoffice.
Responsibilities:
Develop and implement advanced AI/ML models to support asset management objectives.
Translate business and investment requirements into scalable AI solutions.
Build and maintain secure productionready data pipelines in collaboration with the data platform team.
Partner with cloud engineers to evaluate and apply emerging AI technologies.
Provide technical leadership and mentorship to junior team members.
Ensure scalability efficiency and reliability of deployed solutions.
Contribute to the development of governance frameworks to align with compliance and regulatory standards.
What you will need to succeed:
Bachelor s or Master s degree in Computer Science or a related technical field.
8 years of experience in datafocused organizations including 4 years working with cloudnative technologies.
5 years of handson experience designing and implementing AI/ML solutions preferably within the asset management or financial services industry.
Proficient in Python and experienced with ML frameworks such as TensorFlow PyTorch and Keras.
Strong background in cloud platforms and infrastructure including AWS Azure Snowflake and Oracle.
Expertise in LLMs embedding models and agentbased AI architectures (e.g. multiagent RAGCAG frameworks).
Skilled in building scalable data pipelines and deploying productionready ML systems.
Familiarity with modern digital and CRM technologies.
Proven ability to collaborate across crossfunctional teams and manage stakeholder priorities.
Strong leadership communication and strategic decisionmaking abilities.
Why Recruit Action
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