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hackajob is partnering with Planet Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
Experience: 3+ years hands-on developing and deploying AI/ML models in
production environments.
• Programming: Proficient in Python (including packaging, testing, performance
optimization).
• ML Expertise: Understanding of algorithms, model selection,
training/validation/optimization, and evaluation at scale.
• Data Skills: Proficient in data preprocessing, feature engineering, and data
visualization for decision support.
• Deep Learning & MLOps: Proficient with PyTorch/TensorFlow, and modern MLOps
(deployment, monitoring, scaling, CI/CD, experiment tracking, model registry).
• Cloud: Experience with Azure for AI/ML workloads (e.g., Azure ML, Azure Synapse,
Azure Data Lake).
• AI Agents: Experience developing AI agents in Copilot Studio and via Python
frameworks (tooling, orchestration, retrieval, connectors).
CPSC Data Solutions Services SOW 26
• Bachelor’s degree, or equivalent experience in Computer Science, Data Science,
Mathematics, Statistics, Engineering, related field, OR equivalent professional
experience.
Preferred Qualifications
• Experience with streaming/event-driven architectures (Event Hubs), feature stores,
and vector databases (for retrieval-augmented generation).
• Hands-on with responsible AI (fairness, explainability, privacy), model governance
(model cards, audits), and security in cloud ML.
• Familiarity with domain-specific risk analytics and public-sector/regulated environments
Certifications in Azure AI/ML and/or MLOps advantageous
hackajob is partnering with Planet Technologies to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.