ShiftCode Analytics, Inc. · 5 months ago
SENIOR ML/OPS Engineer (AWS and Databricks) - SGWS
Miramar, FL
Full-time
Hybrid
Senior Level, Lead/Staff
9+ years expShiftCode Analytics, Inc. is seeking a Senior ML/OPS Engineer to focus on building, scaling, automating, and orchestrating model pipelines. The role requires extensive experience in deploying ML applications using AWS services and Databricks, collaborating with Data Scientists and ML Engineers to enhance production workflows.
AnalyticsConsultingInformation Technology
No H1B
Responsibilities
Design, implement, and maintain CI/CD pipelines for machine learning applications using AWS CodePipeline, CodeCommit, and CodeBuild
Automate the deployment of ML models into production using Amazon SageMaker, Databricks, and MLflow for model versioning, tracking, and lifecycle management
Develop, test, and deploy AWS Lambda functions for triggering model workflows, automating pre/postprocessing, and integrating with other AWS services
Maintain and monitor Databricks model serving endpoints, ensuring scalable and low-latency inference workloads
Use Airflow (MWAA) or Databricks Workflows to orchestrate complex, multi-stage ML pipelines, including data ingestion, model training, evaluation, and deployment
Collaborate with Data Scientists and ML Engineers to productionize models and convert notebooks into reproducible and version-controlled ML pipelines
Integrate and automate model monitoring (drift detection, performance logging) and alerting mechanisms using tools like CloudWatch, Prometheus, or Datadog
Optimize compute workloads by managing infrastructure-as-code (IaC) via CloudFormation or Terraform for reproducible, secure deployments across environments
Ensure secure and compliant deployment pipelines using IAM roles, VPC, and secrets management with AWS Secrets Manager or SSM Parameter Store
Champion DevOps best practices across the ML lifecycle, including canary deployments, rollback strategies, and audit logging for model changes
Qualification
Required
Must have excellent, clear communication
9+ years of ML/OPS experience
Hands on experience doing ML OPS and deploying ML apps
Experience with AWS services: Lambda, Sagemaker, CodeCommit, etc
Experience with Databricks workflows and Model Serving
Industry experience in RETAIL or SUPPLY CHAIN HIGHLY PREFERRED (Required)
9+ years of hands-on experience in MLOps deploying ML applications in production at scale
Proficient in AWS services: SageMaker, Lambda, CodePipeline, CodeCommit, ECR, ECS/Fargate, and CloudWatch
Strong experience with Databricks workflows and Databricks Model Serving, including MLflow for model tracking, packaging, and deployment
Proficient in Python and shell scripting with the ability to containerize applications using Docker
Deep understanding of CI/CD principles for ML, including testing ML pipelines, data validation, and model quality gates
Hands-on experience orchestrating ML workflows using Airflow (open-source or MWAA) or Databricks Workflows
Familiarity with model monitoring and logging stacks (e.g., Prometheus, ELK, Datadog, or OpenTelemetry)
Experience deploying models as REST endpoints, batch jobs, and asynchronous workflows
Version control expertise with Git/GitHub and experience in automated deployment reviews and rollback strategies
Experience with Feature Store (e.g., AWS SageMaker Feature Store, Feast)
Familiarity with Kubeflow, SageMaker Pipelines, or Vertex AI (if multi-cloud)
Exposure to LLM-based models, vector databases, or retrieval-augmented generation (RAG) pipelines
Knowledge of Terraform or AWS CDK for infrastructure automation
Experience with A/B testing or shadow deployments for ML models
Company
ShiftCode Analytics, Inc.
ShiftCode Analytics Inc is a Tampa, FL based firm formed with one sole purpose of delivering best and quick services to its clients nationwide.
51-200 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase