GEN AI - ML ENGINEER
keylentPhoenix (AZ)
About the role
GEN AI:
Client EngineerGEN AI - Client Engineer Required Skills - Enterprise Data Management, Enterprise Architecture, Data Architect Nice to have skills - Python Experience 10to13YrsJob summaryInfo retrieval implementation, LLM integration, vectorization pipeline, LangChain integrationAnalyze and organize raw dataBuild data systems and pipelinesEvaluate business needs and objectivesInterpret trends and patternsConduct complex data analysis and report on resultsPrepare data for prescriptive and predictive modelingBuild algorithms and prototypesCombine raw information from different sourcesExplore ways to enhance data quality and reliabilityIdentify opportunities for data acquisitionDevelop analytical tools and programsCollaborate with data scientists and architects on several projectsRequirements and skillsPrevious experience as a data engineer or in a similar roleTechnical expertise with data models, data mining, and segmentation techniquesKnowledge of programming languages (e.g. Java and Python) Hands-on experience with SQL database designGreat numerical and analytical skillsDegree in Computer Science, IT, or similar field a Master's is a plus
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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