Ai Engineer

Tailor Your Resume for this Job

Dear Candidates,

We are hiring for Senior AI/ML Engineers with our client in Bangalore interested candidates please do share your resume at the earliest.

Job Title Senior AI/ML Engineer

Education B.E. / B.Tech / M.Tech in Computer Science, Electronics, or related engineering discipline

Experience 5–7 years of relevant AI/ML/Deep Learning experience with a strong emphasis on edge AI deployment and production-grade model development

Probable Date of Requirement Immediate / ASAP Joining Location Bengaluru, Karnataka (On-site)Onboard Time Within 15–30 days of offer acceptance

Skills & Competencies

Mandatory: 5–7 years of hands-on experience in AI / ML / DeepLearning, with demonstrated delivery in productionenvironments

• Strong proficiency in Python; solid experience withPyTorch and/or TensorFlow for model development,

fine-tuning, and production deployment

• Hands-on experience deploying and optimizing AI/DL models on edge devices — NVIDIA Jetson series (Orin Nano, NX, AGX) strongly preferred
• Practical experience with model optimization techniques: quantization, pruning, knowledge distillation, TensorRT, and ONNX for constrained

hardware

• Working knowledge of the AWS ecosystem for AI/ML workloads: SageMaker, EC2, S3, Lambda, and/or IoT Greengrass for edge-cloud integration
• Hands-on understanding of Visual Language Models (VLMs) — inference, fine-tuning, and multi-modal pipeline development
• Practical experience with Retrieval-Augmented Generation (RAG) architectures and LLM integration patterns in production
• Experience with CI/CD pipelines for ML systems: model versioning, automated testing, and deployment workflows (GitHub Actions, Jenkins, or

equivalent)

• Solid understanding of the Software Development Life Cycle (SDLC) and ability to drive engineering

best practices across a team

• Proven ability to work independently with minimal supervision, taking end-to-end ownership of features from design to deployment
• Comfortable operating in a small-team, startup environment — able to wear multiple hats, move fast, and contribute beyond a narrow job description

Desired: Direct experience deploying VLMs or multi-modal models on constrained edge hardware (Jetson Orin family in particular)

• Familiarity with NVIDIA-specific tooling: CUDA, DeepStream SDK, TAO Toolkit, or Triton Inference Server
• Experience with real-time video analytics pipelines (object detection, tracking, scene understanding)
• Knowledge of MLOps practices: experiment tracking (MLflow / Weights & Biases), model registry, and automated retraining pipelines
• Linux system administration and shell scripting for edge deployment automation
• Prior exposure to retail analytics, digital signage AI, or smart advertising use cases
• Open-source contributions or a visible technical portfolio (GitHub, papers, blogs)
• Awareness of emerging edge AI frameworks: OpenVINO, ONNX Runtime, or TFLite for cross- platform deployment

Domain Vision AI / Edge Computing / Generative AI

Primary focus: real-time AI inference on edge devices for digital advertising and retail analytics (EdgeSkope AI product)

Roles and Responsibilities Lead end-to-end design, development, and deployment of AI/ML models for the EdgeAccess Vision AI platform

• Architect and maintain AWS-integrated edge-cloud AI pipelines ensuring reliability and scalability
• Optimize and deploy VLMs, LLM-augmented features, and RAG-based modules on NVIDIA Jetson edge devices
• Establish and maintain CI/CD pipelines for model development, testing, versioning, and deployment
• Drive SDLC best practices across the engineering team — code reviews, documentation, and sprint discipline
• Mentor junior engineers, conduct technical reviews, and contribute to a high-performance team culture
• Evaluate frontier AI research and rapidly prototype applicable techniques for product roadmap integration
• Collaborate directly with product leadership and take ownership with minimal hand-holding in a lean startup setup

Key Personality Traits Futuristic mindset — genuine interest in emerging

AI/ML technologies

• Adaptable to rapid technology evolution; eager to pick up new frameworks and paradigms
• Hands-on, builder mentality — comfortable going from research to prototype to production
• Self-driven with ability to operate with minimal supervision in a startup environment
• Strong problem-solving orientation and intellectual curiosity
• Collaborative team player across cross-functional and distributed teams

Pay: ₹1,571,388.99 - ₹2,571,092.30 per year

Benefits:

• Provident Fund

Work Location: In person