Akkodis
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Direct message the job poster from Akkodis
Akkodis
is seeking an
AI Data Engineer
for a
Direct-Hire
job with a client located in
Pleasant Ridge, MI (Remote). Pay Range:
$150,000 to $165,000
.
The salary may be negotiable based on experience, education, geographic location, and other factors. Job Description: As an AI Engineer, you will design, build, and deploy artificial intelligence capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, engineers, and stakeholders to deliver scalable AI systems for content personalization, audience analytics, creative optimization, and more. Key Responsibilities AI Solution Development:
Architect, develop, and maintain AI systems for media products. Collaboration:
Partner with product, engineering, and data teams to translate business needs into technical solutions. Deployment & Scaling:
Implement AI models in production environments, ensuring reliability, scalability, and performance across global markets. Continuous Improvement:
Monitor, evaluate, and iterate on AI models using real-world data and feedback. Research & Innovation:
Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation. Ethics & Compliance:
Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations. Requirements Master’s degree in Computer Science, Engineering, or related field (PhD a plus). Strong Python skills, with experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches. Demonstrated experience with enterprise LLMs – their APIs and performance challenges, as well as how to mitigate those (OpenAI, Anthropic, Cohere, etc.) Demonstrated production experience with API conventions and integration into pipelines, e.g., RESTful API, FastAPI, or similar. Demonstrated experience integrating multiple approaches for extracting the highest-quality output from LLMs, e.g., prompt engineering, multi-agents, structured output validation, hybrid RAG, in-context learning (ICL), or NLP- or ontology-powered layering. Proficiency with document processing pipelines (text extraction, chunking, embedding) Demonstrated production experience with measuring and improving AI systems, tracing, and AI observability (e.g., Arize, OpenTelemetry, LangSmith) Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. If you are interested in this role, then please click
APPLY NOW.
For other opportunities available at
Akkodis
, or any questions, please contact
Anirudh Srivastava at 610-227-6773 or anirudh.srivastava@akkodisgroup.com. Equal Opportunity Employer/Veterans/Disabled Benefits offerings include but are not limited to: · 401(k) with match · Medical insurance To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit
https://www.akkodis.com/en/privacy-policy. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Advertising Services Referrals increase your chances of interviewing at Akkodis by 2x Get notified about new Data Engineer jobs in
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We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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is seeking an
AI Data Engineer
for a
Direct-Hire
job with a client located in
Pleasant Ridge, MI (Remote). Pay Range:
$150,000 to $165,000
.
The salary may be negotiable based on experience, education, geographic location, and other factors. Job Description: As an AI Engineer, you will design, build, and deploy artificial intelligence capabilities that drive business value and enhance our global products. You will work cross-functionally with product managers, data scientists, engineers, and stakeholders to deliver scalable AI systems for content personalization, audience analytics, creative optimization, and more. Key Responsibilities AI Solution Development:
Architect, develop, and maintain AI systems for media products. Collaboration:
Partner with product, engineering, and data teams to translate business needs into technical solutions. Deployment & Scaling:
Implement AI models in production environments, ensuring reliability, scalability, and performance across global markets. Continuous Improvement:
Monitor, evaluate, and iterate on AI models using real-world data and feedback. Research & Innovation:
Stay current with AI/ML advancements; prototype and recommend new technologies to keep our products at the forefront of innovation. Ethics & Compliance:
Champion responsible AI practices, ensuring fairness, transparency, and compliance with data privacy regulations. Requirements Master’s degree in Computer Science, Engineering, or related field (PhD a plus). Strong Python skills, with experience in LLM orchestration libraries (e.g., LangChain, LlamaIndex, Semantic Kernel), chain-of-thought, and structured reasoning approaches. Demonstrated experience with enterprise LLMs – their APIs and performance challenges, as well as how to mitigate those (OpenAI, Anthropic, Cohere, etc.) Demonstrated production experience with API conventions and integration into pipelines, e.g., RESTful API, FastAPI, or similar. Demonstrated experience integrating multiple approaches for extracting the highest-quality output from LLMs, e.g., prompt engineering, multi-agents, structured output validation, hybrid RAG, in-context learning (ICL), or NLP- or ontology-powered layering. Proficiency with document processing pipelines (text extraction, chunking, embedding) Demonstrated production experience with measuring and improving AI systems, tracing, and AI observability (e.g., Arize, OpenTelemetry, LangSmith) Strong foundation in data science fundamentals, including data analysis, statistical methods, and experience working with structured and unstructured data Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools. If you are interested in this role, then please click
APPLY NOW.
For other opportunities available at
Akkodis
, or any questions, please contact
Anirudh Srivastava at 610-227-6773 or anirudh.srivastava@akkodisgroup.com. Equal Opportunity Employer/Veterans/Disabled Benefits offerings include but are not limited to: · 401(k) with match · Medical insurance To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit
https://www.akkodis.com/en/privacy-policy. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Advertising Services Referrals increase your chances of interviewing at Akkodis by 2x Get notified about new Data Engineer jobs in
Pleasant Ridge, MI . Python and Kubernetes Software Engineer - Data, AI/ML & Analytics
Distributed Systems Software Engineer, Python / Go
Senior Software Engineer - Web Applications
Software Engineer I (Consumer Servicing)
Software Engineer, Ceph & Distributed Storage
Senior Software Engineer, Device Management - United States
Python Software Engineer - Ubuntu Hardware Certification Team
Software Engineer II, Backend (Loan Originations & Reporting)
Staff Software Engineer, Backend (CI/CD)
Software Engineer II, Backend (Consumer Authentication)
System Software Engineer - Ubuntu Networking
Senior Software Engineer, Backend (ML Platform)
Senior Software Engineer, Backend (CI/CD)
Staff Software Engineer (Batch Infrastructure)
Staff Software Engineer, Backend (Streaming)
Software Engineer II, Backend (Consumer Authentication)
Staff Software Engineer - SRE, Backend (Reliability Engineering)
Staff Software Engineer, Backend (Code to Environments)
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr