Evolphin Software
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Gurugram · On-site · 2-5 Yrs · Aug 25
Information Technology Support Services · 1 to 50 Employees · San Ramon, US
Evolphin Software is a specialist Enterprise Software Company focused on Production Asset Management. We use the latest tools and technologies to deliver solutions that are used by many of the world’s most famous brands including Daimler, Inter Milan, Meredith and NBC Universal. Predominantly Cloud-based, our solutions can also be deployed in a hybrid configuration. Four important factors distinguish Evolphin from others in the industry: (1) Our people, who are innovative, passionate, and creative; (2) Our industry-leading Technology; (3) Our flexible and innovative business models and (4) Our absolute commitment to our global customer base. Our world is all about: AI/ ML enabled Media Asset Management (MAM) ● MAM systems manage high-res video post-production workflows by streamlining and orchestrating every step in the process, including ingestion, transcoding, content post-production, proxy workflows, content distribution, and content archive. Digital Asset Management (DAM) Perfected ● Evolphin Zoom facilitates the entire end-to-end digital asset management lifecycle for Creatives, Marketers, and IT teams. Zoom which can be deployed in a high configuration is the most secure, high-performing, and scalable solution available and capable of growing with your organisation, from small business to enterprise, deployed on-premises, in the cloud, or hybrid. AI/ ML enabled Production Asset Management (PAM): ● PAM systems manage collaborative work-in-progress workflows. Production users such as Creatives, Editors, Motion Graphics artists & Producers require a PAM capable of full version control, client-side front-end deduplication, deep integration with the infrastructure, deep integration with editing apps, check-in/out with locking, smart link/copy features for all file types, secure collaboration and reporting.
What employees say
+ Work from home job , New tech to learn
− Work life balance is a bit issue sometime
More reviews on the company profile.
Interview experience · Software Development Engineer (SDE)
Interviewer focuses on basics and slowly move to more complex questions. Lots of framework design questions, like how to design ArrayList, HaspMap. Set vs List. How read fine line by line and process the data in memor
Average difficulty · Gurgaon, Haryana · 3 reports
More interview insightsJob description
Overview
AI/ML Engineer to build and extend backend services powering AI-driven media search and metadata enrichment at a B2B start-up based in Gurgaon with 2-3 years of experience.
Responsibilities
- Build and extend backend services that power AI-driven media search and metadata enrichment
- Develop, integrate, and deploy AI/ML inference pipelines (embeddings, vision/audio models, transcription, background removal, etc.)
- Fine-tune and optimize computer vision and generative models
- Work with large datasets for preprocessing, augmenting, and structuring
- Contribute to building pipelines for tasks like background removal, inpainting/outpainting, banner generation, logo/face detection, and multimodal embeddings
- Integrate with vector databases for similarity and semantic search
- Deploy scalable AI inference endpoints using Docker + GPU/EC2/SageMaker
Qualifications
- Core Python (Required) – solid programming and debugging skills in production systems
- AI/ML Libraries – hands-on experience with PyTorch and/or TensorFlow, NumPy, OpenCV, Hugging Face Transformers
- Model Training/Fine-Tuning – experience fine-tuning pre-trained models for vision, audio, or multimodal tasks
- Data Handling – preprocessing and augmenting image/video datasets for training and evaluation
- Vector Search – familiarity with FAISS, Pinecone, or similar for embeddings-based search
- Comfortable with chaining or orchestrating multimodal inference workflows
Nice to have
- Experience with generative models (diffusion, inpainting, or outpainting)
- Knowledge of large-scale media workflows (video, design files, time-coded metadata)
- Interest in experimenting with new models and pushing them into production
- Concerned about making AI useful in real-world creative pipelines
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