Senior AIFDE- With ML Experience-Hybrid

Please Contact: To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Srushti Mane at email address can be reached on # .

We have Contract role Senior AIFDE- With ML Experience-Hybrid for client at Denver CO. Please let me know if you or any of your friends would be interested in this position.

Position Details:

SeniorAIFDE-WithMLExperience-Hybrid-DenverCO
Location Denver,CO (Hybrid)
Project Duration : 4+ months contract

Pay Rate : $60 - $62 an hour on W2

Position Summary:

We are looking for an experienced Machine Learning Engineer / Data Scientist to build intelligent, data-driven solutions for application performance monitoring, capacity planning, and infrastructure resource optimization.

The ideal candidate will have strong hands-on experience in Python, Machine Learning, Time-Series Forecasting, Anomaly Detection, Observability, and large-scale telemetry data processing. This role will focus on analyzing application/API usage patterns and infrastructure metrics to develop ML models that predict resource requirements and provide intelligent recommendations for CPU, memory, capacity, and scaling.

You will work closely with DevOps, SRE, Cloud, Infrastructure, and Application Engineering teams to develop and operationalize ML-driven capacity optimization solutions.

Required Qualifications & Skills

• Strong hands-on experience with Python and data/ML libraries such as Pandas, NumPy, Scikit-learn, XG Boost, TensorFlow, or Py Torch.
• Strong experience in Machine Learning and Predictive Analytics.
• Hands-on experience with Time-Series Forecasting and analysis of time-dependent data.
• Experience with Anomaly Detection, Regression, Classification, and Clustering techniques.
• Strong understanding of feature engineering, model evaluation, model optimization, and statistical analysis.
• Experience building and deploying production-grade ML models.
• Strong experience working with observability, monitoring, logs, metrics, and telemetry data.
• Experience with observability/monitoring platforms such as Prometheus, Grafana, Splunk, ELK/Elastic, Datadog, or equivalent technologies.
• Experience processing large volumes of logs, metrics, and telemetry data.
• Strong SQL skills and experience working with large datasets and/or data warehouses.
• Experience designing or working with batch and/or streaming data pipelines.
• Experience with ML Ops, including model deployment, monitoring, versioning, retraining, and drift detection.
• Strong problem-solving and analytical skills with the ability to translate complex data into actionable recommendations.

Preferred Qualifications

• Experience with Docker and Kubernetes.
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Experience with CI/CD and cloud-based ML platforms.
• Experience with streaming technologies such as Kafka, Spark Streaming, or equivalent.
• Experience with distributed data processing and large-scale analytics.
• Experience in application performance management, infrastructure optimization, capacity planning, or FinOps.
• Experience building ML-powered dashboards, APIs, or recommendation systems

Mandatory Skills:

• Python
• Pandas
• NumPy
• Scikit-learn
• Machine Learning
• Time-Series Forecasting
• Anomaly Detection
• Regression
• SQL
• Observability/Monitoring

To discuss this amazing opportunity, reach out to our Talent Acquisition Specialist Srushti Mane at email address can be reached on # .