AI Engineer

At ioMosaic, we are seeking an experienced AI Engineer to work on developing and deploying advanced AI models, machine learning algorithms, and data-driven solutions. The ideal candidate will have hands-on experience with AI frameworks and be able to contribute to the end-to-end AI development lifecycle, from data preprocessing to model deployment.

Duties and Responsibilities

1. Develop AI Models: Design, train, and optimize machine learning and deep learning models using state-of-the-art techniques.
2. Data Engineering: Collaborate with data teams to collect, clean, and prepare large datasets for model training and evaluation.
3. Algorithm Optimization: Focus on improving model performance and accuracy through algorithm optimization, hyperparameter tuning, and testing.
4. Deployment & Maintenance: Work on deploying AI models to production environments, ensuring scalability, reliability, and robustness.
5. Collaboration: Collaborate with cross-functional teams including software engineers, data scientists, and product managers to integrate AI-driven features into products.
6. Research: Stay up-to-date with the latest AI research and industry trends and apply innovative solutions to current problems.
7. Documentation: Maintain clear and concise documentation for AI models, code, and processes to ensure efficient collaboration and reproducibility.

Preferred Skills:

1. Experience with NLP (Natural Language Processing), computer vision, or reinforcement learning.
2. Mathematics & Algorithms: Strong knowledge of linear algebra, probability, statistics, and optimization techniques.
3. Knowledge of MLOps, CI/CD pipelines, and automated testing for machine learning models.
4. Version Control: Familiarity with version control tools such as DevOps/Git.

Soft Skills:

1. Problem Solving: Strong analytical and problem-solving skills, with the ability to think critically and design innovative AI solutions.
2. Communication: Excellent written and verbal communication skills to effectively collaborate with both technical and non-technical teams.
3. Adaptability: Willingness to learn and experiment with new AI techniques and technologies.
4. Team Player: Ability to work effectively in a collaborative and cross-functional team environment.

Position Requirements

1. Experience: 3-5 years of hands-on experience in AI and machine learning.
2. Technical Expertise: Strong proficiency in Python. Expertise in machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
3. Machine Learning: Solid understanding of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning.
4. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets.

Category: Software

About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused on helping you manage and reduce episodic risk. Through innovation and dedication to continual improvement, ioMosaic has become a leading provider of integrated process safety and risk management solutions. ioMosaic has expertise in a wide variety of areas, including pressure relief systems design, process safety management, expert litigation support, laboratory services, training, and software development.

Employment Type: Full-Time

Shift: Days

Division: ioMosaic Corporation

This position is currently accepting applications.