*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:* [email protected]

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