
AI ML Engineer Position closed
4 weeks ago
We are looking for an AI Engineer who thrives on solving complex problems and building intelligent systems that push the boundaries of artificial intelligence. You will work on cutting-edge AI models, developing and deploying scalable solutions that enhance decision-making and optimize large-scale operations. Your role will involve working with deep learning architectures, generative AI, NLP, and reinforcement learning to create high-impact AI applications. If you are passionate about AI-driven innovation and want to work in a fast-paced, research-driven environment, we want to hear from you.
Key Responsibilities:
- Design and develop advanced AI models, including deep learning and generative AI architectures.
- Implement and optimize NLP, reinforcement learning, and predictive analytics solutions.
- Build and maintain scalable ML pipelines for data processing, model training, and deployment.
- Collaborate with cross-functional teams to integrate AI models into real-world applications.
- Research and experiment with state-of-the-art AI techniques to enhance system performance.
- Optimize AI models for efficiency, accuracy, and real-time decision-making in production environments.
- Ensure AI models comply with ethical AI standards and best practices.
Required Skills:
- Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, or JAX.
- Expertise in deep learning, reinforcement learning, or generative AI.
- Proficiency in ML model deployment on cloud platforms (AWS, GCP, Azure) or edge devices.
- Knowledge of MLOps, distributed computing, and scalable AI architectures.
- 3+ years of experience in AI/ML development (exceptional candidates with less experience will be considered).
- Good to have basic familiarity with probabilistic reasoning, Bayesian methods, and optimization algorithms.
- Good to have basic knowledge in natural language processing (NLP), computer vision, or AI-driven automation.
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