*Here is the Job description: (or Kindly share your updated cv at
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AI & ML Model Development & Architecture:
- Design, develop, and implement AI/ML solutions using CNN, RNN, and other advanced neural network architectures to solve complex real-world problems in areas such as computer vision, natural language processing, and time-series forecasting.
- Lead the development of end-to-end machine learning pipelines using frameworks like TensorFlow, PyTorch, Keras, and Hugging Face.
- Develop and fine-tune machine learning models for specific business needs and ensure robust model performance.
- Apply probability theory, statistics, and optimization techniques to develop reliable and scalable models.
Leadership & Mentorship:
- Lead and mentor a team of AI/ML engineers, providing technical direction, code reviews, and hands-on training to ensure the team is following best practices in model development and deployment.
- Foster a collaborative work environment and encourage knowledge sharing across teams.
- Coordinate cross-functional teams to ensure AI solutions are aligned with business goals and technical feasibility.
Cloud Platform Expertise & Deployment:
- Utilize AWS SageMaker, Azure AI Foundry, and other cloud platforms to deploy scalable machine learning models and manage ML workflows.
- Oversee the deployment of models into production, ensuring high availability, reliability, and performance.
- Manage cloud-based resources efficiently, ensuring cost-effective use of infrastructure.
Research & Innovation:
- Keep up with the latest AI/ML research and advancements, and experiment with emerging algorithms and techniques to maintain a competitive edge.
- Drive research on current techniques in time-series forecasting, deep learning, and other AI methodologies to continuously improve product offerings.
- Contribute to the academic community and industry advancements by publishing research, whitepapers, or speaking at conferences.
Model Opt
📌 Sr. AI Engineer (Noida)
🏢 PharynxAi Technologies
📍 Noida