C2C Hybrid Role: AI/ML Data Engineer – Join Us in Phoenix, AZ

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Must be legally authorized to work in the United States (H4-EAD, Green Card, or US Citizen), and must be LOCAL TO Phoenix or the greater Phoenix area.

We are seeking a highly skilled and detail-oriented AI/ML Engineer with strong Python expertise and proven experience in AI Ops implementation. This is a contract position based in Phoenix, AZ, with a hybrid work schedule requiring 3 days a week onsite. The ideal candidate will be local to the Phoenix or surrounding area, and possess a strong background in machine learning automation, observability, and infrastructure intelligence solutions.

Key Responsibilities:

·         Lead the design and implementation of AI Ops solutions to improve IT operations through intelligent automation, anomaly detection, and root cause analysis.

·         Develop and optimize ML models that support predictive insights and operational efficiency for enterprise-scale systems.

·         Create and maintain robust, scalable data pipelines and integrations using Python.

·         Collaborate with DevOps and Infrastructure teams to integrate AI/ML solutions into existing monitoring and logging tools (e.g., Prometheus, Grafana, Splunk, ELK Stack).

·         Apply LLM and NLP techniques for log analysis, event correlation, and incident pattern recognition.

·         Utilize and fine-tune RAG (Retrieval-Augmented Generation) and Vector Search frameworks as part of the broader AIOps strategy.

·         Contribute to building automated self-healing systems and workflows based on AI/ML model outputs.

Required Skills:

·         5+ years of experience in Python development for data engineering and machine learning applications.

·         Hands-on experience with AI Ops frameworks and tooling in an enterprise IT environment.

·         Solid understanding of cloud platforms (AWS, Azure, or GCP) and cloud-native tools for data processing and automation.

·         Experience with machine learning pipelines, feature engineering, and model deployment in production environments.

·         Exposure to LLM-based architectures, prompt engineering, RAG, and Vector databases (e.g., FAISS, Pinecone, Weaviate).

·         Strong background in log analytics, observability tools, and infrastructure telemetry.

·         Experience working in Agile/Scrum environments and collaborating with cross-functional teams.

Preferred Qualifications:

·         Experience with MLOps platforms (e.g., MLflow, Kubeflow, SageMaker).

·         Familiarity with event-driven architectures, Kafka, and stream processing.

·         Exposure to ITSM, incident management, and monitoring strategies used in enterprise environments.

·         Bachelor's or Master’s degree in Computer Science, Engineering, or a related field.

 

 

 

 

Best Regards,
Morgan Lane
Sr. Recruiter
BSA Service Corp
1907 Whittier Ln, Schaumburg, IL 60193
Office: 773-819-7797
Email: morga...@bsaservicecorp.com