Advanced AI Engineer for Visual Data Analysis

6 days ago

India S2T AI - AI-Powered Investigations Full time
About Us

S2T AI - AI-Powered Investigations is a cutting-edge company at the forefront of leveraging artificial intelligence to drive impactful results in video analysis and face recognition.

Job Description

We are seeking an Advanced AI Engineer with a passion for innovation in visual data analysis, face recognition, and machine learning. In this role, you will lead the development of sophisticated algorithms and solutions that harness AI to analyze visual data, extracting valuable insights and driving decision-making in complex scenarios.

Key Responsibilities:

  • Algorithm Development: Design and implement state-of-the-art algorithms for face recognition, object detection, and video analysis, utilizing deep learning and computer vision techniques.
  • Data Collection and Training: Collaborate on data collection and develop training datasets to enhance the accuracy and performance of AI models.
  • Performance Optimization: Ensure the scalability and efficiency of models, optimizing for real-time performance in challenging conditions.
  • Research and Innovation: Stay updated with the latest advancements in AI, machine learning, and computer vision, applying this knowledge to improve existing systems.
  • Cross-functional Collaboration: Work closely with product teams, software engineers, and stakeholders to integrate AI models into production environments.

Requirements:

  • Educational Background: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.
  • Machine Learning Expertise: Strong background in machine learning, computer vision, and deep learning frameworks such as TensorFlow, PyTorch, or OpenCV.
  • Video and Image Analysis: Experience in working with video feeds and image datasets, developing models for face detection, recognition, and object tracking.
  • Programming Skills: Proficiency in Python, with experience in other relevant languages like C++ or Java being a plus.
  • Mathematical Proficiency: Solid understanding of linear algebra, probability, and optimization techniques relevant to AI/ML.
  • Real-Time Processing: Knowledge of techniques and tools for real-time image and video processing, including GPU acceleration.

Preferred Experience:

  • Ai in Production: Experience deploying machine learning models into production environments, dealing with scalability and edge deployment.
  • Facial Recognition Systems: Hands-on experience working on facial recognition applications, including training and optimizing models for varying environmental conditions.
  • Startup Environment: Ability to adapt and thrive in a dynamic, agile startup setting.

This role offers a highly competitive salary of $120,000-$180,000 per year, depending on experience. If you're passionate about pushing the boundaries of AI and making a meaningful impact, we encourage you to apply.

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