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Full time 🤖 AI / ML

Principal AI/ML Engineer at SymphonyAI

Listed by DevShelfHub

Bengaluru, India
Hybrid
Senior · 12–16 yrs

About the Role

Industrial AI is transforming how manufacturers and energy companies monitor assets, detect anomalies, and automate predictive maintenance. SymphonyAI, a global leader in enterprise AI solutions, is hiring a Principal AI/ML Engineer in Bengaluru to lead the design and delivery of production-grade machine learning and physics-informed analytics for industrial customers.

What you'll do

  • Architect and build ML and physics-model-based analytics for anomaly detection, root-cause analysis, and predictive maintenance
  • Lead design of agentic AI workflows combining domain knowledge with data-driven models
  • Own DataOps pipelines for high-volume industrial sensor and time-series data (vibration, acoustic, SCADA)
  • Apply signal processing techniques for health-monitoring models on rotating and industrial equipment
  • Develop and productionize ML models including computer vision for quality inspection
  • Design and scale Python analytics applications using Flask, Dash, Bokeh, or Plotly
  • Drive model deployment and MLOps across cloud and on-prem GPU infrastructure
  • Mentor engineers and act as technical authority across cross-functional project teams
  • Partner with product and customer teams to translate industrial requirements into AI features
  • Represent technical roadmap to internal leadership and key customers

What we're looking for

  • Bachelor's or Master's in Engineering (Mechanical, Structural, Electrical, or related); advanced degree preferred
  • 12+ years in analytics/ML engineering with data-driven and physics/first-principles modeling
  • Deep experience in industrial R&D: asset health monitoring, diagnostics, prognostics, or additive manufacturing
  • Strong hands-on Python programming with production-grade software engineering practices

Skills & Technologies

Required

Bachelor's or Master's in Engineering (Mechanical, Structural, Electrical, or related); advanced degree preferred 12+ years in analytics/ML engineering with data-driven and physics/first-principles modeling Deep experience in industrial R&D: asset health monitoring, diagnostics, prognostics, or additive manufacturing Strong hands-on Python programming with production-grade software engineering practices Proven experience applying ML to industrial datasets — signal/vibration, image, or process sensor data Experience building and deploying models on cloud or GPU infrastructure (GCP, DGX) Exposure to Generative AI, Agentic AI frameworks, and contextual/industrial AI platforms Experience building real-world RAG-based systems with frontier LLMs or fine-tuned open-source models

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This principal-level role offers technical leadership at the intersection of data-driven modeling and first-principles engineering, with direct impact on plant-floor deployments for Oil & Gas, Chemical, and manufacturing customers.
  • Lead design and delivery of production-grade ML and physics-informed analytics
  • Build agentic AI and contextual AI workflows for autonomous fault diagnosis
  • Own the technical roadmap for industrial DataOps pipelines and sensor data processing
  • Apply signal processing and vibration/acoustic analysis for condition-based monitoring
  • Develop computer vision models for quality inspection and process optimization
  • Drive MLOps practices across cloud and on-prem environments (GCP, GPU/DGX)
  • Mentor senior and mid-level engineers and set technical standards
  • Partner with product management and customer-facing teams on industrial AI features
  • Work on real-world RAG-based systems with frontier LLMs and fine-tuned models
  • Represent the technical roadmap to leadership and key customers
  • Exposure to additive manufacturing analytics and industrial diagnostics
  • Principal individual contributor role with global R&D stakeholder management

About SymphonyAI

SymphonyAI is at the forefront of innovation, leveraging cutting-edge artificial intelligence and machine learning to transform industries. The company delivers enterprise applications across retail, CPG, financial services, manufacturing, media, Enterprise IT, and the public sector. SymphonyAI combines AI technology, vertical expertise, and industry-specific data to drive the highest value for customers. The company is on a mission to build a world-class engineering team with a high-performance culture.
Industry
Technology
Company Size
500+
Website
symphonyai.com
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Job Details

Type
Full time
Level
Senior
Experience
12–16 years
Location
Bengaluru, India
Work Mode
Hybrid
Category
AI / ML

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