Machine Learning Engineer

hackajob is collaborating with Planet Technologies to connect them with exceptional professionals for this role. 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