Sr. AIML Engineer

2 weeks ago

Noida, Uttar Pradesh, India Chetu Full time ₹ 6,00,000 - ₹ 18,00,000 per year

Join Our Team

Were Hiring: AIML Engineer.

Job Location: Noida (Sector-63)

About Us:

Founded in 2000, Chetu is a global leader in providing tailored software development solutions and support services. Chetu's dedicated team of technology professionals offers an extensive array of software solutions, including custom application development, enterprise software integration, mobile app development, cloud computing solutions, IOT (Internet of Things) development, artificial intelligence and machine learning solutions, blockchain development, cybersecurity services, data analytics solutions, ERP (Enterprise Resource Planning) implementation, CRM (Customer Relationship Management) customization, and software testing and quality assurance. Chetu's specialized expertise caters to startups, SMBs, and Fortune 5000 companies alike, offering a flexible and scalable software delivery model tailored to each client's unique requirements. Headquartered in Sunrise, Florida, Chetu operates from 13 strategic locations across the United States and internationally.

Job summary:

  • Three Machine Learning Research Consultants to support the final development and deployment of advanced predictive models for ClimateIQ, an open-access AI climate risk platform
  • Developed in collaboration with Google
  • org and international partners, ClimateIQ delivers high-resolution, machine learningdriven forecasts and geospatial risk analytics to help cities and communities prepare for extreme weather and climate hazards
  • Consultants will contribute to the tuning and optimization of deep learning architectures, specifically for our flood and atmospheric modeling products–FloodML and AtmoML, and lead deployment efforts using Google Cloud Platform (GCP) and Vertex AI
  • This engagement offers an opportunity to work at the intersection of AI, environmental modeling, and public-interest technology, supporting a globally relevant tool for climate adaptation and resilience planning
  • We anticipate this will require 30 hrs/week for a minimum of 1 month with potential for renewal
  • Responsibilities Model Development & Optimization Enhance model architectures (CNN, ConvLSTM) for autoregressive spatiotemporal predictions Tune hyperparameters and refine autoregressive loop logic to improve accuracy and stability Conduct ablation studies, diagnostics, and performance benchmarking across model versions Deployment & Cloud Infrastructure Deploy validated models to Google Cloud Platform (GCP) using Vertex AI for training, serving, and prediction

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