Senior AI Expert

2 days ago

Bengaluru, Karnataka, India beBeeArtificial Full time US$ 1,04,000 - US$ 1,30,878
Senior AI Expert - Artificial Intelligence Engineer

We are seeking a visionary and highly skilled Senior AI Expert to provide expert-level technical leadership in the design and development of artificial intelligence algorithms, models, and systems. As a subject matter expert, you will drive critical AI initiatives, explore and implement cutting-edge methodologies, and foster technical excellence within the organization.

Key Responsibilities:

  • Lead the development of complex AI solutions to address specific business needs, ensuring scalability, efficiency, and robustness.
  • Collaborate with cross-functional teams to seamlessly integrate AI solutions into existing systems and processes.
  • Work directly with product managers and business leaders to understand requirements and align AI initiatives with overall business objectives.
  • Lead the end-to-end AI development lifecycle, including project planning, resource allocation, and monitoring progress.
  • Provide mentorship and guidance to AI engineers, fostering a culture of continuous learning, innovation, and technical excellence.
  • Act as the subject matter expert for technical AI projects, providing direction on exploring and implementing methodologies and best practices.

Technical Requirements:

  • Expertise in designing and training advanced Deep Neural Networks (DNNs) for Computer Vision and Generative AI (GenAI).
  • Applied experience with Transformers, Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Diffusion Models.
  • Mastery of Python, PyTorch, and TensorFlow.
  • Skilled in key libraries such as Hugging Face (Transformers, Diffusers), OpenCV, LangChain, and LangGraph.
  • Hands-on experience with MLOps tools, including MLflow, Docker, and Kubernetes.
  • Proficient with cloud AI services on AWS, Google Cloud Platform (GCP), or Azure.
  • Experience with high-performance inference optimization using frameworks like NVIDIA TensorRT, ONNX Runtime, or OpenVINO to accelerate model deployment is a plus.

Qualifications:

  • Bachelor's degree from an accredited institution in Computer Science, AI, Electronics, Electrical, Mathematics, or related fields.

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