Principal AI Architect
- Quest Global
- 15 - 24 years
- Bengaluru
- 3 days ago
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Job Description
Job Requirements
Key Responsibility
Responsible for designing, implementing, and overseeing AI solutions that align with business objectives
Strategic Planning: Develop AI strategies and roadmaps aligned with organizational goals.
System Design: Architect robust AI frameworks and infrastructure for scalability and performance.
Model Development: Design and implement AI/ML models, algorithms, and pipelines.
Collaboration: Work with data scientists, engineers, and business stakeholders to deliver AI-driven solutions.
Optimization & Evaluation: Continuously monitor and improve AI systems for accuracy and efficiency.
Compliance & Ethics: Ensure AI solutions adhere to ethical standards and regulatory requirements (GDPR, fairness, bias mitigation).
Leadership: Guide cross-functional teams and mentor junior engineers in AI best practices
Security & Compliance: Data anonymization, secure model deployment, bias detection
Work Experience
Mandatory Skills
Programming Languages: Python, Java, or Node.js for AI system development.
Machine Learning & Deep Learning: Expertise in TensorFlow, PyTorch, Hugging Face; model selection, evaluation, and interpretability.
Data Engineering & MLOps: ETL tools (Airflow, dbt), CI/CD for ML (MLflow, DVC), feature stores.
Cloud Platforms: AWS, Azure, or GCP for AI deployment and scalability.
System Design & Architecture: Knowledge of microservices, APIs, distributed systems, and containerization (Docker, Kubernetes).
Security & Compliance: Data anonymization, secure model deployment, bias detection
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: NLP / DL Engineering / ArchitectEmployement Type: Full timeContact Details:
Company: Quest GlobalLocation(s): Bengaluru
Keyskills: Architecture Artificial Intelligence Data Science Tensorflow Airflow Java Ai Solutions Natural Language Processing Node.Js Machine Learning Deep Learning Design GCP Aiml Microsoft Azure AWS Python Kubernetes
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