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Senior Engineer - AI-Powered Search

Dehradun, Uttarakhand, India

1 day ago

Applicants: 0

Salary Not Disclosed

4 weeks left to apply

Job Description

Experience : 4.00 + years Salary : INR 3000000.00 / year (based on experience) Expected Notice Period : 7 Days Shift : (GMT+05:30) Asia/Kolkata (IST) Opportunity Type : Remote Placement Type : Full Time Permanent position(Payroll and Compliance to be managed by: Crop.Photo) (*Note: This is a requirement for one of Uplers' client - A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing) What do you need for this opportunity? Must have skills required: media transformation, proxy generation, video ingest, AI/MLOps, Database architecture, ECS (GPU), AWS A US-based, venture-funded company transforming eCommerce visuals with AI-powered bulk photo editing is Looking for: What You?ll Own Architect the next-gen search and metadata foundation for Evolphin Zoom Lead integration of LLM-generated media embeddings into a unified semantic + similarity + structured search experience Collaborate with ML team to operationalize multimodal AI pipelines that extract visual, audio, and textual data from media assets ? from face/logo detection to transcript embeddings to LLM driven media summaries Replace or refactor the current object store and metadata engine with a scalable, multi-tenant architecture in AWS Design APIs and storage schemas that support: Time-coded media tags (e.g., logos, faces, speech) Structured attributes (e.g., IPTC, EXIF, DRM usage rights, category etc) AI-derived embeddings and semantic summaries Drive the full lifecycle: schema design, vector indexing, embedding integration, and rollout to production Collaborate with AI/ML and UX teams to power real-time, intuitive media search Skills & Experience Database Architecture, AI/MLOps, AWS (Required) Hands-on experience in DB design and architecture (2-3 yrs) Experience with designing asset metadata schemas in MAM/DAM-like systems Experience modeling object-style relationships (asset versions time-coded data) Experience with schema-less and structured stores like DynamoDB, PostgreSQL, or Aurora Familiarity with designing systems that support live and archived media (tiered storage) Hands-on experience with vector databases like Weaviate, Qdrant, FAISS, or Pinecone (2-3 yrs) Familiarity with hybrid search (structured filters + semantic vectors) Familiarity with performance tuning of semantic search (indexing, recall, latency, memory) Experience migrating from monolithic or tightly coupled Java systems to service-oriented designs Ability to work with AI outputs across multiple modalities ? aligning embeddings, timestamps, and metadata for unified retrieval (2 years) Experience building services on ECS (GPU), Lambda, API Gateway, SQS/EventBridge (2-3 yrs) Experience with deploying scalable ML services on EC2, Fargate (2 yrs) Strong CI/CD practices (2-3 yrs) Comfort working across Java and Python boundaries when modernizing APIs or data models Additional Skills & Experience Familiarity with video ingest, proxy generation, media transformation, and archive workflows in media pipelines Experience working with formats like MXF, ProRes, H.264, DNxHD Experience supporting React or Electron frontends with performant APIs Familiarity with designing data access patterns and query payloads to optimize media-heavy UIs You Might Be a Fit If You? Care about making AI useful in real-world creative workflows Enjoy blending semantic models with structured metadata in production Know how to move fast in high-scale environments with tech debt Can bridge the gap between legacy Java systems and modern Vector-based search systems How to apply for this opportunity? Step 1: Click On Apply! And Register or Login on our portal. Step 2: Complete the Screening Form & Upload updated Resume Step 3: Increase your chances to get shortlisted & meet the client for the Interview! About Uplers: Our goal is to make hiring reliable, simple, and fast. Our role will be to help all our talents find and apply for relevant contractual onsite opportunities and progress in their career. We will support any grievances or challenges you may face during the engagement. (Note: There are many more opportunities apart from this on the portal. Depending on the assessments you clear, you can apply for them as well). So, if you are ready for a new challenge, a great work environment, and an opportunity to take your career to the next level, don't hesitate to apply today. We are waiting for you!

Additional Information

Company Name
Uplers
Industry
N/A
Department
N/A
Role Category
AI Engineer
Job Role
Mid-Senior level
Education
No Restriction
Job Types
On-site
Gender
No Restriction
Notice Period
Less Than 30 Days
Year of Experience
1 - Any Yrs
Job Posted On
1 day ago
Application Ends
4 weeks left to apply

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