Senior AI/ML Engineer

Persistent

Hyderabad, Pune District

Hybrid

INR 4,000,000 - 6,500,000

Full time

10 days ago

Get a reply from this employer

Your resume and cover letter, tailored to exactly what they’re hiring for.

Get past ATS filters

Benefits offered by this job

Hybrid work options
Health checkups
Opportunities for ongoing education &

Job summary

Persistent is seeking a Senior AI/ML Engineer to design, build, and deploy advanced AI solutions for mobile, embedded, and edge devices. You will lead multimodal AI initiatives combining vision, audio, and sensor data to enable contextual decisions and real-time processing.

You will collaborate with cross-functional teams across AI, Platform, Device and Mobile engineering to optimize models for latency, power, and scalability, while staying current with AI innovations.

Qualifications

  • 10–15 years of experience in AI/ML, Computer Vision or related engineering disciplines.
  • Strong programming expertise in Python and C++.
  • Production experience delivering AI/ML solutions for mobile, embedded, or edge devices.
  • Hands-on CV skills: Object Detection, Tracking, Classification, Segmentation, Video Analytics.
  • Experience with Audio AI: ASR, audio classification, noise suppression.
  • Experience building multimodal AI systems with sensor data.
  • Knowledge of sensor fusion and contextual AI architectures.
  • Familiarity with PyTorch, TensorFlow, ONNX and similar frameworks.
  • Excellent communication and leadership skills in cross-functional teams.

Responsibilities

  • Design and develop advanced Physical AI solutions for mobile, edge, and embedded platforms.
  • Build multimodal AI systems combining vision, audio, and sensor data for intelligent decisions.
  • Develop and optimize CV models for detection, tracking, classification, segmentation, and activity recognition.
  • Implement and optimize Audio AI solutions including speech recognition and noise suppression.
  • Collaborate with AI, Platform, Device, Camera, Audio and Mobile teams to deliver scalable solutions.
  • Optimize inference pipelines for low latency and power efficiency on edge devices.
  • Support production deployments and continuous improvement of enterprise AI systems.

Skills

Python
C++
Edge AI
Computer Vision
Audio AI
Multimodal AI
Sensor Fusion
Deep Learning
Agile teamwork

Tools

PyTorch
TensorFlow
ONNX

Job description

About Position:

We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Computer Vision, Artificial Intelligence, Audio AI, and Edge AI technologies. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI solutions across mobile, embedded, and edge environments. This role requires hands-on experience in building multimodal AI systems that combine vision, audio, sensor data, and contextual intelligence to solve complex business and real-world challenges. The successful candidate will collaborate with cross-functional engineering teams to deliver scalable, high-performance AI solutions for enterprise and edge computing platforms.


  • Role: Senior AI/ML Engineer
  • Location: Pune, Bengaluru
  • Experience: 10 to 15 Years
  • Job Type: Full Time Employment

What You'll Do:

  • Design and develop advanced Physical AI solutions for mobile, edge, and embedded platforms.
  • Build intelligent AI systems capable of understanding environments using camera, audio, sensor, and contextual inputs.
  • Develop and optimize Computer Vision models for object detection, object tracking, image classification, semantic segmentation, activity recognition, video analytics, and scene understanding.
  • Design and implement Audio AI solutions including speech recognition, speaker recognition, audio classification, sound event detection, and noise suppression.
  • Build multimodal AI systems that combine visual, audio, and sensor data to enable intelligent decision-making.
  • Design and implement sensor fusion solutions using cameras, microphones, IMU sensors, GPS, and additional device signals.
  • Optimize AI inference pipelines for low-latency, real-time execution on edge devices.
  • Deploy and optimize AI models for mobile devices, embedded platforms, and specialized AI accelerators.
  • Develop scalable AI/ML pipelines for training, evaluation, deployment, and monitoring.
  • Collaborate closely with AI, Platform, Device, Camera, Audio, and Mobile Engineering teams.
  • Conduct model performance analysis and continuously improve accuracy, latency, scalability, and power efficiency.
  • Implement AI model optimization techniques including quantization, pruning, compression, and hardware acceleration.
  • Participate in solution architecture, technical design reviews, and AI innovation initiatives.
  • Support production deployments and ongoing improvements for enterprise AI systems.
  • Stay updated with emerging AI, Computer Vision, Audio AI, and Edge AI technologies and trends.

Expertise You'll Bring:

  • 10 to 15 years of experience in Artificial Intelligence, Machine Learning, Computer Vision, or related engineering disciplines.
  • Strong programming expertise in Python and C++.
  • Extensive experience developing AI and Machine Learning solutions in production environments.
  • Hands-on expertise in Computer Vision technologies including Object Detection, Object Tracking, Image Classification, Semantic Segmentation, Activity Recognition, Video Analytics, Scene Understanding.
  • Experience building and deploying advanced computer vision solutions on edge devices.
  • Strong knowledge of Audio AI, including Automatic Speech Recognition (ASR), Audio Classification, Sound Event Detection, Speaker Recognition, Noise Suppression, Digital Signal Processing (DSP).
  • Experience designing and implementing multimodal AI systems.
  • Strong understanding of sensor fusion and contextual AI architectures.
  • Experience deploying AI models on mobile, embedded, and edge computing platforms.
  • Expertise in Edge AI deployment, model optimization, and inference acceleration.
  • Experience optimizing AI models for latency, power efficiency, memory footprint, and scalability.
  • Understanding of deep learning frameworks such as PyTorch, TensorFlow, ONNX, or similar platforms.
  • Experience with AI model training, evaluation, monitoring, and lifecycle management.
  • Familiarity with embedded systems and hardware-accelerated AI solutions.
  • Strong analytical, troubleshooting, and problem-solving capabilities.
  • Experience working within Agile and collaborative engineering environments.
  • Excellent communication, stakeholder management, and technical leadership skills.
  • Ability to mentor engineers and drive technical excellence across AI initiatives.

Benefits:

  • Competitive salary and benefits package
  • Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
  • Opportunity to work with cutting-edge technologies
  • Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
  • Annual health check-ups
  • Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.


  • We support hybrid work and flexible hours to fit diverse lifestyles.
  • Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
  • If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent-persistent.com/careers


"Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

Get your free, confidential resume review.

or drag and drop your file here.

Similar jobs

Similar jobs worth comparing

Senior AI/ML Engineer
Senior AI/ML Engineer

Persistent Systems Limited • Pune District

Hybrid
INR 3,500,000 - 5,500,000
Hybrid work
Flexible hours
Learning reimbursement
+2
Senior AI/ML Engineer
Senior AI/ML Engineer

Persistent Systems • Pune District

Hybrid
INR 4,000,000 - 7,000,000
Hybrid work model
Long Service awards
Group health insurance
Machine Learning Specialist
Machine Learning Specialist

Persistent Systems • Pune District

Hybrid
INR 1,500,000 - 2,500,000
Competitive salary
Quarterly growth opportunities
Company-sponsored higher education
+3
Senior Java AI Engineer
Senior Java AI Engineer

Persistent Systems Limited • Pune District

Hybrid
INR 2,500,000 - 3,500,000
Hybrid work model
Health insurance
Education sponsorship
+2
Engineering Architect
Engineering Architect

Persistent Systems • Pune District

On-site
INR 3,500,000 - 6,500,000
Hybrid work options
Long service awards
Project parties
+2
AI Architect
AI Architect

Persistent Systems • Pune District

Hybrid
INR 4,000,000 - 7,000,000
Flexible work hours
Long Service awards
Group term life insurance
+1
Senior Python AI Engineer
Senior Python AI Engineer

Persistent • Hyderabad, Bengaluru

Hybrid
INR 4,000,000 - 7,000,000
Competitive salary
Growth opportunities
Hybrid work
+2
Principal AI Security Architect
Principal AI Security Architect

Persistent • Hyderabad, Pune District, Bengaluru

On-site
INR 3,800,000 - 7,000,000
Competitive salary
Talent development and education Spons
Cutting-edge technologies
+3
Project - Lead Data Engineering & AI
Project - Lead Data Engineering & AI

Persistent • Pune District

On-site
INR 4,000,000 - 7,000,000
Competitive salary
Growth opportunities and certificates
Cutting-edge technologies
+3
Senior Forward Deployment Engineer
Senior Forward Deployment Engineer

Persistent • Pune District

On-site
INR 3,500,000 - 6,000,000
Competitive salary and benefits
Hybrid work and flexible hours
Cutting-edge technologies
+1