Ml engineer signal processing Jobs

AI / ML Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- AWS
- Machine learning
11d
Senior AI or ML Engineer
Optum —Hyderabad, Telangana
- Full-time
- Azure
- Computer Science
- Master's degree
- Health insurance
Risk Solutions Engineer
Thomson Reuters —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Java
- Machine learning
- Continuous improvement
- Work from home
Senior Staff Applications Engineer
Infineon Technologies AG —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- Master's degree
Senior Software Engineer, AI/ML, Google Photos Reminiscing
Google —Bengaluru, Karnataka
- Full-time
- System design
- Bachelor's degree
- Machine learning
10d
Engineer- ML Model Development,Pytorch,Numphy
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- B.Sc
Data Scientist
ALSTOM —Bengaluru, Karnataka
- Computer Science
- Master's degree
- SQL
Machine Learning Engineer, Dubbing
Sarvam —Bengaluru, Karnataka
- Full-time
- Machine learning
- Python
Quick apply
12d
Principal Engineer - Applications- AI/ML
Microchip Technology —Chennai, Tamil Nadu
- Full-time
- Azure
- Computer Science
- Software troubleshooting
AI/MLEngineer
The Digital Group —Pune, Maharashtra
- Azure
- Research
- Databases
Staff Backend Engineer
Coupang —Bengaluru, Karnataka
- Hybrid work
- System design
- Java
- Master's degree
- Work from home
Quick apply
Staff Engineer, Design Verification Engineering
Analog Devices —Bengaluru, Karnataka
- Full-time
- Travel
- Mentoring
- Scripting
Staff ML Engineer
Buildkite —Panznor, Jammu and Kashmir
- SQL
- AWS
- Machine learning
Edge AI Systems Engineer
SatSure Analytics India —Bengaluru, Karnataka
- Computer Science
- C++
- Machine learning
- Health insurance
- Paid time off
Senior Data Scientist — Manufacturing & Process AI
Employee Hub LLP —Delhi, Delhi
- Up to ₹12,00,000 a year
- Azure
- Salesforce
- Engineering
Quick apply
1d
Data Engineer
Ratna Global Technologies Private Limited —Hyderabad, Telangana
- Azure
- System design
- SQL
Quick apply
Timing closure expert
Texas Instruments —Bengaluru, Karnataka
- Bachelor's degree
- AI
Staff Engineer
Locus.sh —Bengaluru, Karnataka
- ₹5,000 a year
- Full-time
- Java
- Master's degree
- Databases
Data Domain Architect Lead - Data & Annotation
JPMorganChase —Bengaluru, Karnataka
- Full-time
- Doctoral degree
- Computer Science
- Data analysis skills
1d
PCB Layout Engineer
Eurth Techtronics —Hyderabad, Telangana
- Email
- Schematics
- Master's degree
- Assembly

I want to receive the latest job alerts for ml engineer signal processing

By signing in to your account, you agree to SimplyHired's Terms of Service and consent to our Cookie and Privacy Policy.

Explore jobs in more locations

ml engineer signal processing jobs near

Ai Ml Engineer jobs in Bengaluru, Karnataka

Machine Learning Engineer jobs in Bengaluru, Karnataka

System Engineer jobs in Bengaluru, Karnataka

Senior Data Scientist jobs in Delhi, Delhi

Software Architect jobs in Bengaluru, Karnataka

Design Verification Engineer jobs in Bengaluru, Karnataka

Data Engineer jobs in Hyderabad, Telangana

Staff Engineer jobs in Bengaluru, Karnataka

Senior Ai Ml Engineer jobs in Bengaluru, Karnataka

Senior Ai Ml Engineer jobs in Hyderabad, Telangana

Solutions Engineer jobs in Bengaluru, Karnataka

Back End Developer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Chennai, Tamil Nadu

Data Scientist jobs in Bengaluru, Karnataka

Civil Engineer jobs in Yelahanka, Bengaluru, Karnataka

Data Engineer jobs in Pune, Maharashtra

Modeling Engineer jobs in Kolkata, West Bengal

Engineer jobs in Lucknow, Uttar Pradesh

Fire Fighting Design Engineer jobs in Mumbai, Maharashtra

Modeling Engineer jobs in Electronic City, Bengaluru, Karnataka

AI / ML Engineer

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time
11 days ago

Qualifications

TensorFlow
Azure
Law
AWS
Machine learning
Forecasting
APIs
AI
Python

Full job description

BC-00001400 / RRN00016819

ROLE OVERVIEW
The AI/ML Engineer is the intelligence core of the AI Ops platform. You will design, build, train, and deploy the predictive models that drive autonomous infrastructure management - including failure forecasting, anomaly detection, capacity modelling, and root cause analysis.
Beyond model development, you will own the MLOps pipeline, the agentic decision engine, the continuous learning loop, and the model registry - ensuring the platform's AI capabilities improve with every resolved incident and learned pattern.

KEY RESPONSIBILITIES
Design and train the Failure Forecast model targeting 94%+ accuracy at a 6-hour prediction horizon
Build the Anomaly Detection model targeting 97%+ precision for real-time infrastructure signal classification
Develop the Capacity Model for 24-hour resource demand forecasting at 91%+ accuracy
Build and tune the Root Cause AI model targeting 89%+ average confidence on incident attribution
Design and implement the agentic decision engine - the Detect Predict Decide Heal loop that drives auto-remediation
Build and maintain the MLOps pipeline: data ingestion, feature engineering, model training, validation, and deployment
Implement the Continuous Learning module: automated retraining triggers, knowledge base indexing, and runbook auto-generation
Develop the model registry API layer exposing real-time accuracy scores and model metadata to the platform
Integrate AI outputs with the Incident Control backend for root cause enrichment and resolution recommendation
Design the Digital Twin data model for real-time infrastructure state representation
Monitor model performance in production and implement drift detection and alerting
Collaborate with Backend Engineers on inference API design for sub-100ms prediction latency

EXPECTATIONS
Achieve and maintain model accuracy targets: 94% (Failure Forecast), 97% (Anomaly), 91% (Capacity), 89% (Root Cause)
Deliver a fully operational agentic loop processing 47,600+ AI decisions per day from go-live
Ensure model inference endpoints respond within 100ms on p95 for all production predictions
Keep human escalation rate below 2.5% through high-confidence autonomous decision-making
Implement a continuous learning pipeline that indexes and learns from every resolved incident
Produce explainable AI outputs with confidence scores on all predictions surfaced in the UI
Document all model architectures, training datasets, evaluation metrics, and retraining schedules

SKILLS & COMPETENCIES
Technical Skills
Deep expertise in supervised and unsupervised machine learning: anomaly detection, classification, regression, time-series forecasting
Proficiency in Python ML stack: scikit-learn, XGBoost, LightGBM, PyTorch or TensorFlow
Time-series modelling: LSTM, Transformer-based models, Prophet, or ARIMA for infrastructure metric forecasting
MLOps platform experience: MLflow, Kubeflow, Weights & Biases, or equivalent for experiment tracking and model management
Feature engineering from infrastructure telemetry data: metrics, logs, traces, and events
Experience building and deploying inference APIs at low-latency production scale
Knowledge of LLM integration for runbook generation and knowledge base indexing
GPU compute management for model training on cloud platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)
Familiarity with reinforcement learning or agentic AI patterns for autonomous remediation design
Statistical proficiency: hypothesis testing, confidence intervals, distribution analysis
Functional & Soft Skills
Ability to translate complex model behaviour into clear, confidence-scored outputs for operations teams
Strong experimental mindset - rigorous about evaluation metrics and avoiding overfitting
Collaborative engineering partner to Backend and DevOps engineers on pipeline integration
Clear documentation practices for model cards, training pipelines.

Apply Now

Refine Your Search

AI / ML Engineer

Senior AI or ML Engineer

Risk Solutions Engineer

Senior Staff Applications Engineer

Senior Software Engineer, AI/ML, Google Photos Reminiscing

Engineer- ML Model Development,Pytorch,Numphy

Data Scientist

Machine Learning Engineer, Dubbing

Principal Engineer - Applications- AI/ML

AI/MLEngineer

Staff Backend Engineer

Staff Engineer, Design Verification Engineering

Staff ML Engineer

Edge AI Systems Engineer

Senior Data Scientist — Manufacturing & Process AI

Data Engineer

Timing closure expert

Staff Engineer

Data Domain Architect Lead - Data & Annotation

PCB Layout Engineer

I want to receive the latest job alerts for ml engineer signal processing

Explore jobs in more locations

Jobseeker tools

Employer Tools

Browse

Stay Connected