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 [email protected] can be reached on # (630) 576-1930.

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:

• Senior AIFDE- With ML Experience- Hybrid- Denver CO
• 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 GCP.
• · 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 [email protected] can be reached on # (630) 576-1930.