Ml engineer signal processing / Jobs

AI / ML Engineer
Accenture —Bengaluru, Karnataka
- Full-time
- Azure
- AWS
- Machine learning
AI/ML Engineer – Remote Sensing & Geospatial Analytics
advance technologies —Bangalore City, Bengaluru, Karnataka
- ₹20,000 - ₹30,000 a month
- Machine learning
- In-person
- AI
- Health insurance
Quick apply
12d
ML Engineer / Data Scientist
Infor —Hyderabad, Telangana
- Full-time
- Computer Science
- Research
- Master's degree
Software Engineer, AI/ML
ValGenesis —Hyderabad, Telangana
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Software Engineer - AI/ML
ValGenesis —Chennai, Tamil Nadu
- Full-time
- Computer Science
- DevOps
- Machine learning
Quick apply
Machine Learning QA Engineer
Derq —Delhi, Delhi
- Remote
- Microsoft Word
- Word processing
- English
Quick apply
Image Processing Engineer
Oivi —Bengaluru, Karnataka
- Hybrid work
- Analysis skills
- C++
- AI
Audio Systems Algorithm Development Engineer
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- Engineering
13d
Engineer- ML Model Development,Pytorch,Numphy
Qualcomm —Hyderabad, Telangana
- Doctoral degree
- Computer Science
- B.Sc
Senior Data Engineer (with AI/ML experience) India
IDT —Remote
- Full-time
- Remote
- Azure
- English
- Windows
Quick apply
Embedded Systems Engineer (0–2 Years)
Eurth Techtronics —Hyderabad, Telangana
- Email
- Computer Science
- Master's degree
- C++
Machine Learning Engineer, Dubbing
Sarvam —Bengaluru, Karnataka
- Full-time
- Machine learning
- Python
Quick apply
Senior AI/ML Engineer
Optum —Bengaluru, Karnataka
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
3d
AI & Machine Learning Engineer
ArtPark - I-Hub for Robotics and Autonomous Systems Innovation Foundation —Bengaluru, Karnataka
- Math
- Bachelor's degree
- Machine learning
Embedded ML Engineer – Edge Accelerator
Eurth Techtronics —Hyderabad, Telangana
- Full-time
- Computer Science
- Master's degree
- C++
AI Engineer
Hyland —Hyderabad, Telangana
- Full-time
- Master's degree
- Bachelor's degree
- Organisational skills
5d
Machine learning and AI Engineer
Megdap Innovation Labs —Pune, Maharashtra
- Email
- Azure
- Computer Science
- Java
Machine Learning Engineer
Cognite - AI for Industry —Bengaluru, Karnataka
- Computer science
- Azure
- Computer Science
Quick apply
5d
Silicon AI/ML DFT Engineer, Google Cloud
Google —Bengaluru, Karnataka
- Full-time
- Master's degree
- Electrical experience
- Bachelor's degree
5d
Advanced Engineer: ML, LLM, NLP, RAG
Harman International —Bengaluru, Karnataka
- Azure
- Research
- Master's degree

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

Ai Ml Engineer jobs in Hyderabad, Telangana

Senior Ai Ml Engineer jobs in Bengaluru, Karnataka

Ai Ml Engineer jobs in Bangalore City, Bengaluru, Karnataka

Machine Learning Engineer jobs in Pune, Maharashtra

Ai Ml Engineer jobs in Chennai, Tamil Nadu

Ai Ml Engineer jobs in Remote

Process Engineer jobs in Bengaluru, Karnataka

Engineer jobs in Bengaluru, Karnataka

Data Scientist jobs in Hyderabad, Telangana

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

Modeling Engineer jobs in Gurugram, Haryana

Fresher Electronics Engineer jobs in Pune, Maharashtra

Assistant Professor, Mechanical Engineer jobs in Chandigarh, Chandigarh

AI / ML Engineer

Accenture -
Bengaluru, Karnataka

Apply Now

Job details

Full-time

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

AI/ML Engineer – Remote Sensing & Geospatial Analytics

ML Engineer / Data Scientist

Software Engineer, AI/ML

Software Engineer - AI/ML

Machine Learning QA Engineer

Image Processing Engineer

Audio Systems Algorithm Development Engineer

Engineer- ML Model Development,Pytorch,Numphy

Senior Data Engineer (with AI/ML experience) India

Embedded Systems Engineer (0–2 Years)

Machine Learning Engineer, Dubbing

Senior AI/ML Engineer

AI & Machine Learning Engineer

Embedded ML Engineer – Edge Accelerator

AI Engineer

Machine learning and AI Engineer

Machine Learning Engineer

Silicon AI/ML DFT Engineer, Google Cloud

Advanced Engineer: ML, LLM, NLP, RAG

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