Senior Specialist - Data Sciences
Senior Specialist - Data Sciences
LTM- Posted 9 hours ago
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Job Description
Role Description
7 years of full AI Software Development Life Cycle SDLC experience designing developing and implementing largescale machine learningGen AI applications
Top 3 Must Have Skills
Production AI Engineering Python building and operationalizing MLGenAI services with strong software engineering fundamentals
Platform mindset reuse building shared components templates patterns used by multiple teams not oneoff implementations
Operational readiness for AI monitoring telemetry production maintenance practices and reliability focused troubleshooting
Nice to Have Skills
Masters degree in computer science computer engineering technology information systems CISMIS Engineering or related technical discipline or equivalent experience training
Experience building platform capabilities for AIML or GenAI solutions in a regulated enterprise environment including registry patterns toolagent registries private registries grounding patterns retrieval memory context budgeting and production hardening reference implementations accelerators that drive adoption at scale etc
Prior experience developing and implementing generative based AI solutions using Large Language Models LLMs eg Open AI GPT Google Gemini Llama
Exposure to cloud ML tooling and MLOps practices in enterprise environments
7 years of full AI Software Development Life Cycle SDLC experience designing developing and implementing largescale machine learningGen AI applications
Top 3 Must Have Skills
Production AI Engineering Python building and operationalizing MLGenAI services with strong software engineering fundamentals
Platform mindset reuse building shared components templates patterns used by multiple teams not oneoff implementations
Operational readiness for AI monitoring telemetry production maintenance practices and reliability focused troubleshooting
Nice to Have Skills
Masters degree in computer science computer engineering technology information systems CISMIS Engineering or related technical discipline or equivalent experience training
Experience building platform capabilities for AIML or GenAI solutions in a regulated enterprise environment including registry patterns toolagent registries private registries grounding patterns retrieval memory context budgeting and production hardening reference implementations accelerators that drive adoption at scale etc
Prior experience developing and implementing generative based AI solutions using Large Language Models LLMs eg Open AI GPT Google Gemini Llama
Exposure to cloud ML tooling and MLOps practices in enterprise environments
More Info
Key Skills
reliability focused troubleshooting
monitoring telemetry
building platform capabilities for AIML or GenAI solutions
software engineering fundamentals
registry patterns
private registries
cloud ML tooling
grounding patterns
accelerators that drive adoption at scale
reference implementations
MLOps practices
production maintenance practices
retrieval memory context budgeting
Production AI Engineering
production hardening
developing and implementing generative based AI solutions
Operational readiness for AI
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