Akkodis Group Nordics · 4 days ago
AI/ML Engineer
Akkodis is seeking an AI/ML Engineer for a Contract job with a client in Charlotte, NC. The role involves automating root cause analysis workflows, collaborating with cross-functional teams, and designing AI-driven tools for scalable solutions.
Embedded SystemsSoftware
Responsibilities
Designing and implementing AI-driven tools to enhance real-time monitoring, anomaly detection, and root cause analysis
Integrating machine learning workflows with telemetry data sources such as Splunk, Dynatrace, and Data Lakes
Automating root cause analysis (RCA) workflows to reduce Mean Time to Identify (MTTI) and Mean Time to Restore (MTTR)
Building and fine-tuning machine learning models for anomaly detection, platform restoration, and predictive maintenance
Deploying models in production environments using frameworks like NVIDIA Triton, TensorFlow, or Kubernetes
Developing efficient data pipelines for ingesting and preprocessing logs, metrics, and traces from observability platforms
Leveraging vector databases and Retrieval-Augmented Generation (RAG) techniques for hybrid search and agentic workflows
Collaborating with cross-functional teams to identify AI use cases and translate them into scalable, production-ready solutions
Ensuring continuous integration and delivery (CI/CD) for smooth deployment cycles and modern DevOps practices
Qualification
Required
A Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field
A minimum of 3+ years of experience in machine learning, AI model development, and production deployment
Strong experience with machine learning frameworks such as TensorFlow, PyTorch, and LangChain
Expertise in AI/ML tools and platforms for anomaly detection, predictive maintenance, and NLP-based tools
Benefits
Medical
Dental
Vision
Life insurance
Short-term disability
Additional voluntary benefits
EAP program
Commuter benefits
401K plan
Paid Sick Leave
Holiday pay
Company
Akkodis Group Nordics
Akkodis Group Nordics, operates as a specialized tech cluster, combining expertise in Digital Engineering and Edge Technology.
Funding
Current Stage
Late StageTotal Funding
unknownKey Investors
Reiten & Co
2020-03-16Acquired
2009-05-01Private Equity
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