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Hello, I'm Edwin Jose, a Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI solutions across computer vision, machine learning, and generative AI. I'm strong in Python, PyTorch, back-end integrated ML systems, and agentic AI workflows, with a track record of building end-to-end solutions that automate processes, improve decision-making, and support cross-functional delivery. I excel at translating business needs into deployable AI systems across global projects and distributed teams. I enjoy collaborating with stakeholders to define roadmaps, drive implementation, and contribute to AI strategy, roadmaps, and IP creation, leveraging GenAI frameworks and coding assistants to accelerate delivery.…Hello, I'm Edwin Jose, a Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI solutions across computer vision, machine learning, and generative AI. I'm strong in Python, PyTorch, back-end integrated ML systems, and agentic AI workflows, with a track record of building end-to-end solutions that automate processes, improve decision-making, and support cross-functional delivery. I excel at translating business needs into deployable AI systems across global projects and distributed teams. I enjoy collaborating with stakeholders to define roadmaps, drive implementation, and contribute to AI strategy, roadmaps, and IP creation, leveraging GenAI frameworks and coding assistants to accelerate delivery.

Edwin Jose

AI Engineer, Data Scientist, Full Stack Developer, +2

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Hello, I'm Edwin Jose, a Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI solutions across computer vision, machine learning, and generative AI. I'm strong in Python, PyTorch, back-end integrated ML systems, and agentic AI workflows, with a track record of building end-to-end solutions that automate processes, improve decision-making, and support cross-functional delivery. I excel at translating business needs into deployable AI systems across global projects and distributed teams. I enjoy collaborating with stakeholders to define roadmaps, drive implementation, and contribute to AI strategy, roadmaps, and IP creation, leveraging GenAI frameworks and coding assistants to accelerate delivery.…Hello, I'm Edwin Jose, a Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI solutions across computer vision, machine learning, and generative AI. I'm strong in Python, PyTorch, back-end integrated ML systems, and agentic AI workflows, with a track record of building end-to-end solutions that automate processes, improve decision-making, and support cross-functional delivery. I excel at translating business needs into deployable AI systems across global projects and distributed teams. I enjoy collaborating with stakeholders to define roadmaps, drive implementation, and contribute to AI strategy, roadmaps, and IP creation, leveraging GenAI frameworks and coding assistants to accelerate delivery.

Available to hire

Hello, I’m Edwin Jose, a Senior AI/ML Engineer with 8+ years of experience designing and delivering production-grade AI solutions across computer vision, machine learning, and generative AI. I’m strong in Python, PyTorch, back-end integrated ML systems, and agentic AI workflows, with a track record of building end-to-end solutions that automate processes, improve decision-making, and support cross-functional delivery.

I excel at translating business needs into deployable AI systems across global projects and distributed teams. I enjoy collaborating with stakeholders to define roadmaps, drive implementation, and contribute to AI strategy, roadmaps, and IP creation, leveraging GenAI frameworks and coding assistants to accelerate delivery.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

AI/ML Engineer at DroneShield

July 1, 2025 - December 1, 2025

Conducted exploratory data analysis (EDA) on drone RF signal datasets to refine detection models and enhanced model drift monitoring and retraining workflows to maintain production performance. Added new detection classes and implemented false-positive monitoring, reducing FP rates by 30% while tracking regression across model updates and validating real-world performance on edge devices during field testing. Delivered detailed technical analysis and actionable implementation plans to stakeholders, enabling data-driven business decisions.

Senior AI/ML Engineer (Lead) at Tata Consultancy Services

November 1, 2023 - January 1, 2025

Automated regulatory video compliance using GDPR-compliant anonymization tool (face/license plate detection and masking) for large-scale video datasets. Containerized with Docker and deployed on AWS, reducing manual annotation by 98% and enabling regulatory compliance at scale. Built scalable multimodal deep learning pipelines for object detection, tracking, and segmentation. Engineered multi-GPU training with mixed-precision acceleration delivering ~3× faster training, and applied model compression and inference optimizations reducing cloud compute costs by 20%. Integrated multimodal agentic AI pipelines for automated data cur ation and edge-case discovery in large-scale datasets using GenAI augmentation and LLM-driven prompting. Deployed RAG pipelines for document analysis and faster knowledge retrieval. Contributed to AI roadmap planning and delivered end-to-end solutions for AI projects globally, collaborating across 15+ cross-functional teams while leveraging GenAI frameworks and

Senior AI/ML Engineer at Tata Consultancy Services

April 1, 2020 - October 1, 2023

Led prototyping, evaluation, and deployment of foundation models (Vision Transformer); deliver ed comprehensive reports to guide model selection and communicated complex AI concepts to stakeholders and clients. Developed reusable end-to-end multi-sensor ML pipelines integrating 5+ DNN models to automate ground-truth generation for autonomous vehicle datasets; containerized and deployed on NVIDIA DGX A100 and Azure, reducing manual labeling effort by 65%. Optimized DNNs by customizing architectures, backbones, hyperparameters and loss functions to improve speed, reduce size, and boost accuracy for cost-efficient deployment. Spearheaded a strategic MLOps upskilling initiative in partnership with a leading AI firm. Authored proposals, documented best practices, secured funding, and mentored junior engineers, and contributed to IP — fostering a culture of continuous learning and internal adoption of scalable AI practices.

AI/ML Engineer at Tata Consultancy Services

August 1, 2018 - March 1, 2020

Performed EDA, feature engineering, and augmentation to prepare high-volume datasets for reliable model training and generalization in production. Built an end-to-end AI system combining facial recognition, emotion detection, and behavioral monitoring — from prototyping to real-time deployment on edge platforms, enabling automation and safety insights. Optimized object detection models for efficient deployment on edge hardware, reducing inference time by 40% while maintaining accuracy — enabling faster, cost-effective AI at scale. Deployed deep learning models for object and text detection, classification, and segmentation, delivering robust scene understanding for real-time perception systems in production environments. Developed and iterated on computer vision POC models using agile practices, aligning technical choices with business needs and rapidly validating solutions for production integration.

Test Lead at Tata Consultancy Services

December 1, 2012 - June 1, 2016

Progressed through engineering roles to Systems Engineer, serving as Test Lead for mobile, web, and embedded applications across multiple operating systems and device platforms. Led automation test strategy and tooling adoption, improving test efficiency by 33% and reducing manual testing by 45% while ensuring compliance with industry standards and best practices. Analyzed and documented software requirements to create HIPAA-compliant test plans for medical web applications, and developed test metrics to provide stakeholders with accurate and timely feedback on test progress.