Machine Learning/AI Engineer

Machine Learning / AI Engineer 

Location: Remote Texas

Company: Amniscient
Technology: Machine Learning, Computer Vision, AI

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Position Overview

We are seeking a highly skilled and motivated Computer Vision/Machine Learning/AI Engineer to join our dynamic team. The successful candidate will develop state-of-the-art computer vision models and machine learning algorithms to solve challenging problems. The role involves working with large datasets, developing AI-powered solutions, and deploying models in real-world applications.

Key Responsibilities:

• Develop and implement computer vision algorithms: Design and implement computer vision algorithms for object detection, image segmentation, facial recognition, etc.
• Model training and optimization: Build and train machine learning models (e.g., neural networks, deep learning models) using frameworks like TensorFlow, PyTorch, or OpenCV.
• Data acquisition and preprocessing: Collect and preprocess large datasets for training and testing purposes, ensuring quality and scalability.
• Deploy models: Deploy AI/ML models into production environments, optimizing them for performance and scalability.
• Collaborate with cross-functional teams: Work with software developers, data scientists, and product managers to integrate AI capabilities into products.
• Stay updated on AI trends: Continuously research and stay updated on the latest advancements in computer vision, AI, and machine learning technologies.
• Evaluation and analysis: Evaluate model performance using metrics like accuracy, precision, recall, and confusion matrices, and fine-tune models accordingly.
• Documentation: Create detailed documentation of methodologies, code, and models for internal use and external presentations.

Qualifications:

• Education
  • Master's degree or higher in Computer Science, Data Science, Electrical Engineering, or related fields.
• Experience
  • 5-8 years of experience in AI?ML and computer vision.
  • Proven experience working on real-world computer vision problems.
• Technical Skills
  • Proficiency in Python.
  • Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Keras).
  • Experience with OpenCV, Scikit-learn, and other computer vision libraries.
  • Familiarity with deep learning architectures (e.g., CNNs, RNNs, GANs).
  • Experience with cloud platforms (AWS, Google Cloud, or Azure) for deploying models.
  • Strong understanding of algorithm optimization, data structures, and programming principles
• Other Skills
  • Excellent problem-solving skills and the ability to think creatively.
  • Strong communication skills to work within a team and convey technical concepts.
  • Ability to manage multiple tasks and projects simultaneously.

Preferred Skills:

• Knowledge of GPU usage and optimization for ML / Ai functions is a big plus
• Familiarity with edge computing and IoT integrations.
• Prior experience in deploying models on mobile or embedded systems.

What We Offer

• Opportunity to make a significant impact in a rapidly growing innovative industry.
• Collaborative and forward-thinking team culture.
• Competitive compensation package with robust benefits offering.

Our Core Values

At the heart of our company culture are the core values that guide everything we do—from how we work together to how we serve our customers. These values are more than just words; they are the principles that shape our decisions, define our relationships, and drive our success. We seek individuals who not only align with these values but are also inspired to contribute to a purpose-driven, inclusive, and growth-oriented environment.

Pursue Excellence Relentlessly: We strive for the highest standards in everything we do, never settling for mediocrity
 

Own the Outcome: We responsibility from start to finish. We don’t just complete tasks—we deliver results.
 

Proactively Seek Solutions: Innovation starts with initiative. We anticipate, innovate, and act.
 

Collaborate to Win: Teamwork fuels success. We share knowledge, support each other, and win together.
 

Adapt with Purpose: Change is constant; We move forward intentionally, not reactively.