AI / Machine Learning Engineer
Client Office: Indianapolis, IN, United States
USD 102K-170K Mid-level Full Time
Tasks
- Analyze structured and semi-structured datasets
- Apply supervised and unsupervised learning techniques
- Build, train, and deploy machine learning models
- Design machine learning models for operational use cases
- Develop end-to-end machine learning pipelines
- Document solutions and provide government facing deliverables
- Engineer solutions in secure cloud and on prem environments
- Ensure compliance with DoD and federal security controls
- Implement model validation and explainability
- Monitor model performance and bias
- Perform feature engineering and model evaluation
- Translate analytic outcomes into actionable insights
Perks/Benefits
- 401k retirement plan
- Adoption Assistance
- Dental insurance
- Employee referral program
- Flexible spending accounts
- Health insurance
- Health savings account
- Long-term disability
- Paid Holidays
- Paid sick time
- Parental leave
- Short-term disability
- Tuition reimbursement
- Tuition support
- Vision insurance
Skills/Tech-stack
AWS GovCloud | Anomaly Detection | Apache Spark | Azure | Bias Mitigation | CI/CD | Classification | Clustering | Data Engineering | Databricks | Deep learning | Delta Lake | Feature Engineering | Lifecycle Management | MLOps | MLflow | Machine Learning | Model Explainability | Model Lifecycle | Model Lifecycle Management | Model Validation | NumPy | Palantir Foundry | Pandas | Performance Monitoring | PyTorch | Python | Regression | SQL | Scikit-learn | Supervised Learning | TensorFlow | Unsupervised Learning
Education
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