Senior Machine Learning Engineer

About IntellifAI LabsAt IntellifAI Labs, we are at the forefront of innovation, developing proprietary state-of-the-art industry leading machine learning applications that span a wide range of areas in machine learning including video generation, voice cloning, talking head generation, etc. Since inception, we have build over twenty applications across various use cases.Currently, IntellifAI Labs has a long-term collaboration with Strontium Corporation one of the fastest growing AI and ML technology companies in Canada with over 15 years of experience to deploy various technologies at scale. The company is fully boot-strapped and has served over 100,000+ customers from over 60+ countries world wide.Strontium is an award winning company with revolutionary software tools such as:VideoExpress.ai - VideoExpress is a text-to-video AI software that transforms users' text prompts and images into animated videos. Rated #1 OpenAI Sora Alternative (1,300+ reviews).HumanPal.io - Text to Talking AI Human Spokesperson video creation application. Rated #1 on Capterra, SoftwareAdvice and GetApp the top review platforms (2,200+ reviews). On pace to beat market leaders like Synthesia which has raised $150M+ in capital.HumanBot.io - Intelligent AI Talking Human Assistant trained on custom user data to help businesses generate more leads, appointments and sales. The only chatbot platform that actually speaks in real-time lipsync and creates custom journeys to convert website visitors into customers.For Strotium, IntellifAI Labs is working on building next generation voice cloning, custom AI spokesperson face cloning and other high end technologies with the focus of being the #1 creative media platform company in the world. We are looking to hire Senior ML engineer to help explore, improve and optimize both internal proprietary product and open source models.Role OverviewAs a Senior ML Engineer, your main responsibilities will involve crafting and optimizing machine learning models, which will take up about 70% of your time, and scaling these models for widespread use, accounting for the remaining 30%. Our ability to quickly iterate and refine our work is crucial to creating exceptional applications. We adopt a top-down methodology for algorithm exploration: initially, we experiment to assess the algorithm's suitability for our specific needs. Following this preliminary evaluation, we delve into each aspect systematically—enhancing the model by optimizing datasets, refining loss functions, modifying architectures, and applying innovative engineering solutions.Minimal qualificationsAt least two years of hands-on experience with PyTorch, familiar with training convolution neural networks and diffusion models.An innate drive for autonomous work and innovation. Self driven, and ability to pick new concepts quickly.Good communication skills, both written and verbal.Preferred qualificationsBachelor's or Master's in Computer Science, Electronics, or Electrical (alternate evidence of expertise equally welcome).Experience working with, and a deep understanding of SOTA diffusion models such as Flux, Wan, etc.Role DetailsType: Full Time (but also apply if interested in other positions such as internships)Location: RemoteCompensation: Competitive and aligned with industry standards in IndiaWork hours: Flexible (as long as there is reasonable overlap with EST work hours, and the candidate gets the job done)If you believe you are a strong fit for the role, please fill this form: This ensures that we give your application a thorough review, as it demonstrates your genuine interest and differentiates you from those applying in bulk.