Senior Artificial Intelligence & Machine Learning Engineer

Job Description

Job Description

Description :

Key Responsibilities :– Design, develop, and deploy AI/ML and Deep Learning models for real-world applications

– Lead research and implementation of state-of-the-art computer vision and image understanding models

– Work with vector databases and similarity search systems such as FAISS

– Evaluate and integrate emerging AI models and frameworks relevant to vision, spatial

intelligence, and generative AI

– Fine-tune and optimize statistical, classical ML, and deep learning models for performance and scalability

– Collaborate with cross-functional teams including geospatial analysts, software engineers, and domain experts

– Provide technical leadership, mentorship, and architectural guidance to junior ML engineers

– Translate complex business or domain problems into robust AI-driven solutions

Required Technical Skills :

Artificial Intelligence & Machine Learning :

– Strong fundamentals in Artificial Intelligence, Machine Learning, and Deep Learning

– In-depth knowledge of supervised, unsupervised, and semi-supervised learning

– Hands-on experience with model training, fine-tuning, validation, and deployment

– Statistical & Classical Machine Learning

Proficiency in :

– Random Forest

– Support Vector Machines (SVM)

– K-Nearest Neighbors (KNN)

– XGBoost and other gradient boosting techniques

– Ensemble learning methods

– Bayesian optimization and statistical modeling concepts

Deep Learning & Neural Networks :

Strong experience with :

– Convolutional Neural Networks (CNNs)
– Long Short-Term Memory (LSTM) networks

– Familiarity with deep learning frameworks

– Such as PyTorch and/or TensorFlow

– Computer Vision & Image Intelligence

– Strong understanding of advances in image processing, computer vision, and vision-based ML

– Awareness and practical understanding of modern vision and foundation models including :

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