AI Researcher, Speech & Audio, Intern | Josh Talks

Technical Expertise

• Advanced proficiency in Python
• Expertise in Deep Learning Frameworks: PyTorch and TensorFlow
• Experience with Computer Vision Models:
• YOLO (Object Detection)
• UNet, Mask R-CNN (Segmentation)
• Deep SORT (Object Tracking)

Real-Time & Deployment Skills

• Real-time video analytics and inference optimization
• Model pipeline development using:
• Docker
• Git
• MLflow or similar tools
• Image processing proficiency: OpenCV, NumPy
• Deployment experience on Linux-based GPU systems and edge devices (Jetson Nano, Google Coral, etc.)

Professional Background

• Minimum 4+ years of experience in AI/ML, with a strong focus on Computer Vision and System-Level Design
• Educational qualification: B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or a related field
• Strong project portfolio or experience in production-level deployments

The Role

We’re hiring a Senior AI/ML Engineer with deep expertise in computer vision, generative AI, and production-grade ML systems. This is a 100% hands-on individual contributor role where you will build the AI engines behind the platform — automated image processing, generative content creation, intelligent workflows, and large-scale ML pipelines.

You will work across computer vision, generative models, automation, and ML infrastructure to deliver production-ready AI systems.

What You’ll Build

1. Computer Vision & Image Understanding

• Product image analysis, object detection, and segmentation
• Automated background removal, image enhancement, and preprocessing
• Classification, attribute extraction, and visual search systems
• Quality assessment and edge-case detection models
• Depth estimation and scene understanding from 2D images
• Real-time object detection for AR try-on
• Multi-view image analysis and camera pose estimation

2. Generative AI & Content Creation

• Fine-tune generative models for visual and marketing asset creation
• Build text-to-image and image-to-image model pipelines
• Generate AI-based product descriptions, tags, and metadata
• Work with diffusion models, GANs, and transformer architectures
• Develop texture generation, style transfer, and image editing tools
• Build synthetic data generation pipelines
• Experiment with the latest foundation models and diffusion techniques

3. Intelligent Automation & ML Systems

• Build end-to-end automation pipelines for large-scale product catalog processing
• Develop recommendation and personalization models
• Implement automated workflows for quality control, moderation, and validation
• Build predictive models for engagement and conversion
• Implement anomaly detection and platform monitoring
• Design continuous learning and self-improving systems

4. Production ML Infrastructure

• Deploy and optimize ML models on AWS
• Build scalable inference pipelines with low latency and high throughput
• Implement model versioning, A/B testing, and CI/CD for ML
• Create data pipelines for annotation, augmentation, and quality control
• Optimize models for speed, efficiency, and cost
• Build monitoring systems for model drift, quality, and performance
• Develop APIs and microservices for ML model serving

5. Research & Innovation

• Explore the latest AI/ML trends and emerging models
• Prototype rapidly using state-of-the-art models such as GPT-4V, Diffusion, and SAM
• Integrate open-source tools into the production stack
• Run feasibility experiments and influence model architecture decisions
• Document learnings and share insights internally

Technical Stack

AI / ML Frameworks

• PyTorch, TensorFlow, Hugging Face
• OpenCV, YOLO, Detectron2
• Stable Diffusion, ControlNet, Diffusers
• scikit-learn, XGBoost

Deployment & Infrastructure

• FastAPI, ONNX, TorchScript, TensorRT
• AWS services including SageMaker, Lambda, EC2, and S3
• Docker and Kubernetes
• PostgreSQL, Redis, MongoDB, Pinecone

Languages & APIs

• Python (primary)
• JavaScript / Node.js (working knowledge)
• REST, GraphQL, WebSocket APIs

Nice to Have (3D / Graphics)

• Understanding of rendering pipelines
• Familiarity with glTF or USDZ formats
• Experience with Three.js or Unity / Unreal

What We’re Looking For

Must-Haves

• 5–8+ years of experience in AI/ML with a strong computer vision background
• Deep expertise in PyTorch or TensorFlow
• Experience deploying production ML systems
• Strong understanding of CNNs, transformers, detection, and segmentation models
• Hands-on experience with diffusion models or GANs
• Strong Python skills and ML system design experience
• Cloud experience with AWS, GCP, or Azure
• Proven track record of shipping ML-powered products
• Passion for experimenting with emerging AI models

Highly Desirable

• Experience in e-commerce, retail imaging, or content pipelines
• Background in automation and intelligent workflow systems
• Experience with recommendation or personalization systems
• Familiarity with multimodal models combining vision and language
• Experience with neural rendering or 3D generation
• Open-source contributions or research publications
• Experience optimizing real-time inference
• Strong understanding of MLOps practices
• Ability to build end-to-end ML-driven product features

Problems You’ll Solve

• Automating large-scale product image processing
• Generating high-quality product visuals at scale
• Extracting structured attributes from image datasets
• Reducing manual processes through intelligent automation
• Optimizing inference speed and infrastructure cost
• Personalizing user experiences using ML
• Monitoring and evaluating ML models reliably in production

Why Ctruh

• Work across computer vision, generative AI, automation, and NLP
• Use cutting-edge models and a modern AI stack
• High-impact role influencing millions of shoppers
• Culture focused on experimentation and rapid iteration
• Strong learning environment with research exposure
• Small engineering team with high ownership and visibility
• Supported by Microsoft, NVIDIA, Google, and AWS

Location & Culture

• Location: Bengaluru
• Schedule: 6 days a week (5 days in office, Saturdays work-from-home)
• Culture: Fast-paced, experimentation-driven, and execution-focused
• Team: Highly skilled engineers focused on impact
• Resources: GPU compute, modern tooling, and research access

The Ideal Candidate

You are an AI builder who enjoys experimenting and shipping real systems. You have worked with diffusion models, vision transformers, SAM, GPT-4 Vision, and similar technologies. You are comfortable switching between computer vision, generative models, automation systems, and production ML pipelines.

You care about impact — building models that improve real product experiences. You move quickly, choose the right tools for the problem, prototype rapidly, and optimize systems for production reliability.

You thrive in environments where you can innovate continuously and own AI systems end-to-end.

Egregore Labs (http://www.egregorelabs.com/" target="_blank">www.egregorelabs.com) is a financial software company founded in 2017 by Prashant Vijay (ISB, Tulane) & Hari Balaji (IIM Ahmedabad, IIT Madras) both of whom have spent over a decade each in Financial Services, with a majority of their experience at Goldman Sachs across New York, Hong Kong & Singapore in roles across Trading, Quant & Technology.

We are looking for an experienced fullstack engineer with front-end development experience to join our team.
We will share our workload as a team and we expect you to work on a broad range of tasks.

Here’s are some of the things you might have to do on any given day:

• Implement responsive and performant UIs with user centered approach with frontend technologies including Angular 2, Javascript(ES 6), Typescript, SCSS, etc
• Build back-end REST APIs on Python 3 based server frameworks for deployment and scaling of our product(s)
• Write meaningful test cases for frontend & backend platforms
• Integrate our products with 3rd party products/tools/services
• Develop Infrastructure for delivering services using a performance driven approach, build databases, schedule automated jobs, etc

• At least 24 months of diverse experience in web development for product or services oriented environment with exposure to working production deployments
• Expertise in programming using Python/Javascript or similar scripting languages
• In-depth exposure to technologies used in web-based SaaS products, including REST APIs
• Sound understanding of Postgres and NoSQL databases such as MongoDB

Nice to have exposure to any of

• AWS
• Azure
• ELK
• Object Relational Models (SQLAlchemy, etc)
• Google APIs
• Microservices Architecture Pattern
• NodeJS / ExpressJS

We are looking for a person who has

Resourcefulness - we're looking for versatile developers who are good at figuring out what they need to use, learn, build, re-purpose to get the job done quickly and efficiently.

Ownership - We like to be directive and not prescriptive in our management. We’d love for you to take ownership of what you work on, and tell us what to do, rather than the other way round.

Work Ethic - We’ve grown up on Wall Street. We work hard, and have aggressive goals. We want our team-mates to be focused, goal-oriented and consistent high achievers.

Execution Focus - Our business is about getting things done, and getting things done right. We want outcome focused colleagues who can multi-task, and execute quickly and elegantly.

We are an early stage company. Working here is not for the faint-hearted. An intense and unstructured work environment, lots of excitement and a group of motivated colleagues is what we bring to the table. We ask you to bring your undivided attention, strong worth ethic & resourcefulness. We are Delhi based and work 6 days a week. We operate in a Python environment.

• You have a minimum of 6 years of experience building high-performance consumer-facing mobile applications at Product companies of a decent scale.
• You have founded/worked in a start-up and have worked in an enterprise environment You have a keen eye for mobile architecture and have led/participated in architectural discussions.
• You have a passion for mentoring and helping people on your team grow and achieve their goals and work with cross teams.
• You practice test-driven development and you are able to drive agile practices.
• You have worked with multiple languages/frameworks and have expertise in any one programming language/framework/stack.
• You have published reusable packages.
• You have worked with building automation, devise farms, multi-target testing.
• You are able to optimize the application for performance and speed.
• You are an excellent collaborator & communicator.
• You know that start-ups are a team sport.
• You listen to others, aren’t afraid to speak your mind and always try to ask the right questions.
• You are excited by the prospect of working in a distributed team and company

Tech Stack

• HTML5 (DOM)
• CSS 3
• Javascript (E6)/Typescript
• React Native/React/Angular/NativeScript/Vue
• In-depth knowledge of how frameworks works
• GraphQL
• Javascript ecosystem
• Linters
• Code formatters
• Transpilers
• Bundlers
• Testing tools(Jest, Enzyme)
• You are comfortable with caching, performance optimization, etc
•  You are comfortable with native mobile development
• Java/Kotlin/Android
• Swift/iOs

Are you passionate about using technology to make people's lives better? Are you interested in becoming a part of one of the hottest trends in the world of start-ups today? Are you excited about joining the online ultra-fast grocery delivery service business pioneer and driving the trend forward? Then this may be the right opportunity for you.

1. Create detailed, and well-structured test plans and test cases. Estimate, prioritize and plan testing activities to meet project deadlines. Ability to work efficiently under pressure.
2. Facilitate end-to-end mobile, working directly with developers.
3. Expert knowledge of QA methodologies and software life cycle, previous working experience in Agile environment is preferred.
4. Review requirements specifications, attend sprint grooming and planning meetings to provide timely and meaningful feedback wherever applicable
5. Highly effective collaborator and experience working across multiple departments such as Engineering, Product, Client Success, etc.
6. Ability to troubleshoot issues and help developers, product or client success.
7. Participate in release management; available for testing for code releases and smoking testing, etc.
8. Continuous improvement - contribute in development, improvement, and maintenance of the testing processes and structures
   
   Requirements

1. BTech and/or MTech in Engineering or related fields
2. 2+ years of experience using or creating shared test framework
3. Ability to create and maintain functional tests within fast-moving Agile delivery
4. Experience using test case management system like TestRail, Test Complete or Test Lodge
5. Experience using JIRA and, Atlassian suite
6. Excellent communication and documentation skills
7. Solid knowledge of Continuous Integration
8. Proficiency in analyzing requirements, functional specs, and technical specs
9. Ability to effectively communicate technical solutions and innovative ideas
10. Strong quality mindset, great team spirit and being detail oriented
11. Able to work in a very dynamic workplace
    
    Who You Are

1. Passionate about technology and making an impact.
2. A perpetual learner, who stretches their boundaries and enjoys new ideas.
3. A doer who takes initiative and works well in a team.