Quest Global Hiring 2026: Quest Global is hiring AI Engineers for 2026! Freshers apply for entry-level roles in Bengaluru. ₹6-10 LPA salary, skills in Python/ML required. Check eligibility, apply online now for Quest Global careers.
🔍 About Quest Global:
For more than 20 years, QuEST Global has aimed to be a trusted global product engineering and lifecycle services partner to many of the world’s most recognized companies in the Aero Engines, Hi-Tech, Aerospace & Defense, Transportation (Auto and Rail), Power and Industrial, Oil & Gas and Medical Devices industries. With a presence in 13 countries, 56 global delivery centers and 11,250+ personnel, QuEST Global believes that it is at the forefront of the convergence of mechanical, electronics, software and digital engineering innovations to engineer solutions for a safer, cleaner world. QuEST Global’s deep domain knowledge and digital expertise aim to help its clients accelerate product development and innovation cycles, create alternate revenue streams, enhance consumer experience and make manufacturing processes and operations more efficient.
💼 Job Role: AI Engineer
Location: Bangalore
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📝 Job Description:
- 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
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
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📌 Eligibility Criteria
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Qualification: B.E / B.Tech
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Work Experience: Freshers / Experienced
✅ How to Apply for Quest Global Hiring 2026?
Interested candidates can apply online by clicking the application link below: