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Machine Learning Engineer

Actively Reviewing the Applications

hackajob

India Full-Time
Posted 2 days ago • Apply by June 19, 2026

Job Description

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

Required Skills

Machine Learning Python Microsoft Azure Deep Learning TensorFlow MLOps Data Visualization Data Science CI/CD Performance optimization Event-driven architecture Adobe Illustrator Preprocessing Retrieval-Augmented Generation Azure ML Azure Data Lake Computer Science Agentic AI Feature Engineering
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