
AI Engineer
2 weeks ago
AI Model Development & Optimization
Design, develop, and optimize advanced computer vision models for object detection, segmentation, and classification.
Build and fine-tune AI models for large-scale analytics, predictive modeling, and decision intelligence.
Data Science & Analytics
Develop data pipelines to process, transform, and analyze large-scale structured and unstructured datasets.
Apply statistical methods, machine learning, and feature engineering to derive insights from complex datasets.
Collaborate with data engineers to optimize storage and retrieval of high-dimensional data.
Scalable AI & Distributed Computing
Design and deploy scalable AI models using distributed computing frameworks such as Ray, Spark, or Dask .
Implement parallel processing techniques to handle large-scale data efficiently.
Software Engineering & Development
Write production-grade Python code with best practices for modularity, performance, and maintainability.
Ensure code quality with unit testing, integration testing, and CI/CD pipelines .
Develop and deploy AI models as microservices using Docker and Kubernetes .
Stay updated with cutting-edge research in AI, deep learning, and computer vision.
Evaluate new algorithms and techniques to improve existing AI models.
Work cross-functionally with product teams, software engineers, and data scientists to build AI-driven solutions.
Mentor junior AI engineers and conduct internal training sessions.
Contribute to technical documentation, AI ethics, and best practices .
Bachelor's or Master’s degree in Computer Science, AI, Machine Learning, or a related field .
Experience: 3+ years of hands-on experience in AI/ML, computer vision, and data science .
Programming: Strong proficiency in Python (NumPy, Pandas, OpenCV, PyTorch, TensorFlow, or JAX).
Computer Vision Expertise: Experience with image processing, object detection, segmentation, video analytics .
Data Science & Analytics: Strong grasp of statistics, data visualization, and machine learning techniques .
Cloud & Deployment: Experience with AWS, GCP, or Azure for deploying scalable AI solutions.
Distributed AI & Big Data: Experience with Ray, Apache Spark, Dask, or other distributed frameworks .
Software Engineering: Strong foundation in Git, Docker, Kubernetes, API development .
NLP Experience: Familiarity with transformer models, LLMs (e.g., Multi-Modal AI: Knowledge of models that combine text, vision, and structured data .
Edge AI & Embedded Systems: Experience optimizing AI models for Jetson, Raspberry Pi, or mobile devices .
MLOps: Experience with model monitoring, retraining pipelines, and feature stores .
Working knowledge in C & C++
We are a Silicon Valley-funded team of AI architects, specializing in delivering innovative solutions for a wide range of real-world applications. With years of expertise in AI, we create seamless solutions to tackle complex challenges faced by enterprises. Our team collaborates with multi-billion-dollar public enterprises to develop AI-driven solutions that are actively deployed in production environments. We are building advanced products in the fields of Artificial Intelligence, Robotics, Autonomous Navigation, and Electric Vehicles, driving the future of cutting-edge technology.
How to Apply: If you are passionate about AI, Computer Vision, and scalable AI solutions , we’d love to hear from you
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