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Artificial Intelligence Engineer - mumbai, India - ReelBlend
Description
About usWe are building an innovative Adtech platform called ReelBlend.
ReelBlend enables brands and their products to be virtually inserted into video across Film & TV.
Feel free to watch our demo of this in action here:
AdTech startup is selling advertising into some of the world's leading Film & TV content. We are currently operating across South East Asia (With our media partners, we have lots of exciting projects in the pipeline)
the Role
We are looking for an AI/ML Engineer to join our team and help us build the core ReelBlend platform and vision.
You will be working on cutting-edge and innovative solutions to enrich large volumes of digital VOD content with advertising data and revolutionary VFX / CGI technologies.
Key Responsibilities:
Build and deploy AI models to predict and match advertising opportunities
Collaborate with engineers and marketers to develop cutting-edge solutions
Continuously learn and implement state-of-the-the-art deep learning techniques
Handle a variety of data types, ensuring they are primed for use in their machine learning models.
Develop and deploy applications based on Large Language Models, including specialized techniques in Retrieval-Augmented Generation (RAG) and Text to Image (e.g.
Imagen), Image to Image and Image to Video technologies.Ensure high performance and scalability of AI solutions on cloud platforms like Google and AWS.
Research and integrate the latest AI advancements to keep their solutions at the industry's forefront.
Work closely with cross-functional teams to deliver products that align with their strategic goals.
Aid documentation of core concepts and knowledge sharing
Experience Required:
Advanced degree in Computer Science, AI, or related field.
3+ years industry work experience (this is not a junior / fresh graduate position)
3+ years of experience in Data Engineering / Data Science
Experience with Data Warehousing, ETL/ELT, Data Pipeline Development, Integration, Data Migrations and Analytics experience.
2+ years of experience in software development using C++ (C++11/14/17) and/or Python
Understanding of and interest in the full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Google managed ones (BigQuery, Vertex AI, AutoML, Video AI)
Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI)
Demonstrable experience with containers (Docker). Kubernetes experience is desirable, but not required
A keen understanding of AI ethics and responsible AI deployment.
Experience deploying Generative AI applications is desirable (e.g. RAG systems, LLM fine-tuning, etc.)
GenerativeAI experiences with images / video and inpainting (Stable Diffusion, Imagen, Dalle3)
Preferred candidates should have:
Experience having trained, validated and deployed large scale LLMs into production
Experience with Nvidia AI stack (NeMo, TensorRT, Triton Server, Deepstream, Jetson)
Benefits
Competitive salary + Stock options
Work from Home + Fully remote compatible
Laptop + Monitor provided
23 days annual leave with an extra day off for your birthday
Bi-weekly social events
Monthly Team events
Culture of Internal Progression