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AI Engineer
BeSpoke AI Stylist Pvt Ltd —Remote
- ₹4,64,900.78 - ₹17,61,275.58 a year
- Full-time
- Remote
- Azure
- Computer Science
- Master's degree
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15h

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Associate Data Engineer
Spiceworks —Remote
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AI Engineer
BeSpoke AI Stylist Pvt Ltd —Remote
Collaborate with product, design, and engineering teams to implement AI solutions into production environments. OpenAI API / Gemini API / Anthropic API.
₹4,64,900.78 - ₹17,61,275.58 a year
Quick apply
15h

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AI Engineer

BeSpoke AI Stylist Pvt Ltd
Remote

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Job details

Full-time
₹4,64,900.78 - ₹17,61,275.58 a year
15 hours ago

Qualifications

TensorFlow
CI/CD
Image processing
Azure
Law
Computer Science
Kubernetes
PyTorch
Computer vision
Software deployment
NoSQL
Git
Google Cloud Platform
Master's degree
Databases
SQL
AWS
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Deep learning
Natural language processing
APIs
Data science
AI
Communication skills
Python

Full job description

About BeSpoke AI Stylist

BeSpoke AI Stylist is an AI-driven fashion and personal styling platform focused on delivering personalized style recommendations, wardrobe insights, and shopping experiences through advanced artificial intelligence and machine learning technologies.

Position Overview

We are seeking a talented and innovative AI Engineer to design, develop, and deploy AI-powered solutions that enhance our virtual styling platform. The ideal candidate will have experience working with machine learning, generative AI, recommendation systems, and large language models (LLMs) to create intelligent and scalable fashion technology products.

Key Responsibilities

Design, develop, and maintain AI/ML models for personalized styling recommendations.
Build and optimize recommendation engines based on user preferences, fashion trends, and behavioral data.
Develop and integrate Generative AI and LLM-powered features such as virtual styling assistants and fashion advisory chatbots.
Collaborate with product, design, and engineering teams to implement AI solutions into production environments.
Fine-tune, evaluate, and deploy machine learning models for performance and scalability.
Create data pipelines for data collection, preprocessing, feature engineering, and model training.
Research and implement state-of-the-art AI techniques relevant to fashion technology.
Monitor model performance and continuously improve recommendation accuracy and user experience.
Ensure data privacy, security, and ethical AI practices are maintained.
Document AI systems, workflows, and technical specifications.

Required Qualifications

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
3+ years of experience in AI/ML development and deployment.
Strong proficiency in Python and machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Experience with Generative AI, Large Language Models (OpenAI, Claude, Gemini, Llama, etc.).
Knowledge of recommendation systems, NLP, computer vision, and deep learning.
Experience working with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with MLOps practices, CI/CD pipelines, and model deployment.
Experience with SQL, NoSQL databases, and data engineering concepts.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience building fashion, retail, e-commerce, or personalization platforms.
Knowledge of vector databases, RAG architectures, and AI agents.
Experience with image analysis, outfit recognition, or computer vision applications.
Understanding of fashion trends, styling concepts, or retail customer behavior.
Experience working in startup or fast-paced product environments.

Technical Skills

Python
TensorFlow / PyTorch
Scikit-learn
LangChain / LlamaIndex
OpenAI API / Gemini API / Anthropic API
SQL & NoSQL Databases
Docker & Kubernetes
AWS / Azure / GCP
Git & CI/CD Tools
Vector Databases (Pinecone, Weaviate, ChromaDB, etc.)

Key Competencies

Innovation and creativity
Strong ownership mindset
Problem-solving ability
Team collaboration
Attention to detail
Continuous learning and research orientation

Pay: ₹464,900.78 - ₹1,761,275.58 per year

Work Location: Remote

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