Remote Deep learning Jobs – 150 Open Jobs Today

Applied Machine Learning / Computer Vision Engineer
Code Driven Labs —Remote
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- Computer Science
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Applied Machine Learning / Computer Vision Engineer

Code Driven Labs
Remote

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Job details

Full-time
₹4,00,000 - ₹8,00,000 a year
4 days ago

Benefits

Flexible schedule

Qualifications

CI/CD
Image processing
Azure
Computer Science
Computer vision
Git
Google Cloud Platform
Master's degree
SQL
AWS
Docker
Bachelor's degree
Machine learning
PostgreSQL
Continuous integration
Deep learning
Redis
REST
Natural language processing
OpenCV
APIs
Data science
AI
Python

Full job description

Code Driven Labs is an AI-first technology company building intelligent products that leverage Machine Learning, Computer Vision, and Large Language Models to solve real-world business problems. We develop production-grade AI systems across industries including marketing, retail, healthcare, manufacturing, and enterprise automation.

We are looking for an Applied Machine Learning / Computer Vision Engineer to join our AI team and help build our next-generation Context-Based Content Intelligence Platform. This platform analyzes images, videos, and multimedia content to understand context, quality, storytelling, branding, and audience engagement using multimodal AI.

Role Overview

As an Applied ML / CV Engineer, you will design and build AI systems capable of understanding visual and textual context rather than simply detecting objects. You will work with Vision Language Models (VLMs), Large Language Models (LLMs), computer vision pipelines, and multimodal learning techniques to generate meaningful insights from marketing and social media content.

This is a product-focused role where research is translated into scalable, production-ready AI solutions.

Key Responsibilities

Design and develop multimodal AI models for image and video understanding.
Build systems that analyze visual storytelling, brand consistency, scene composition, and contextual relevance.
Develop AI pipelines that combine computer vision with natural language understanding.
Fine-tune and evaluate Vision Language Models for custom business use cases.
Build intelligent content scoring and recommendation engines.
Create APIs and backend services to serve AI models in production.
Design scalable inference pipelines for image and video processing.
Improve model performance through experimentation, prompt engineering, fine-tuning, and model optimization.
Work closely with product managers and software engineers to convert business requirements into AI features.
Stay updated with the latest research in multimodal AI, computer vision, and generative AI.

Required Technical SkillsMachine Learning

Deep Learning
Transfer Learning
Representation Learning
Model Evaluation
Feature Engineering
Fine-tuning Foundation Models

Computer Vision

Image Classification
Object Detection
Scene Understanding
Image Embeddings
Video Understanding
OCR
Image Similarity
Visual Feature Extraction

Multimodal AI

Vision Language Models (VLMs)
CLIP
SigLIP
Florence
BLIP
Qwen-VL
LLaVA
GPT-4o or equivalent multimodal models
Image Captioning
Cross-modal Retrieval

Large Language Models

Prompt Engineering
RAG Pipelines
Structured Output Generation
Agentic AI Workflows
Function Calling
Evaluation Frameworks

Programming

Python (Required)
SQL

AI Frameworks

PyTorch
Hugging Face Transformers
OpenCV
Ultralytics YOLO
ONNX Runtime
TensorRT (Preferred)

Backend

FastAPI
REST APIs
Async Python
Docker

Databases

PostgreSQL
Redis
Vector Databases (FAISS, Qdrant, Pinecone, Weaviate, or Milvus)

Cloud & MLOps

AWS, Azure, or Google Cloud
Docker
Git
CI/CD
MLflow or Weights & Biases

Preferred Experience

Experience building one or more of the following:

AI-powered content intelligence platforms
Social media content analysis
Advertisement quality assessment
Brand compliance systems
Visual search applications
Content recommendation engines
Multimodal search
Video analytics
Marketing AI tools
Creator or influencer analytics platforms

What You'll Build

You will contribute to AI systems capable of:

Understanding the context and narrative of images and videos.
Identifying products, people, logos, scenes, and activities.
Evaluating creative quality, composition, and visual appeal.
Assessing brand visibility and messaging consistency.
Analyzing emotional tone and audience perception.
Comparing content against competitors and industry benchmarks.
Generating actionable insights and improvement recommendations.
Powering intelligent search and retrieval using multimodal embeddings.

Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
2–5+ years of experience in Applied Machine Learning, Computer Vision, or Multimodal AI.
Strong understanding of deep learning and production ML systems.
Demonstrated experience building and deploying AI applications.

Bonus Skills

Fine-tuning open-source Vision Language Models.
Experience with reinforcement learning from human feedback (RLHF).
Knowledge of agentic AI frameworks.
Experience with GPU optimization and inference acceleration.
Familiarity with distributed model serving.
Published AI research or notable open-source contributions.

What We're Looking For

We value engineers who:

Are passionate about building real-world AI products.
Stay current with advances in multimodal and generative AI.
Can translate research papers into production-ready systems.
Write clean, maintainable, and well-tested code.
Thrive in a collaborative, fast-paced startup environment.
Take ownership from concept through deployment.

Pay: ₹400,000.00 - ₹800,000.00 per year

Benefits:

Flexible schedule

Experience:

Computer vision: 4 years (Required)
AI: 4 years (Required)
Machine learning: 4 years (Required)

Work Location: Remote

Quick apply

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