AI Solutions Engineer
2 weeks ago
Position Overview
We are a trailblazing organization specializing in space mission operations and artificial intelligence. Our focus is on crafting sophisticated AI-driven solutions aimed at optimizing satellite functionality, refining mission strategies, and enhancing the utility of space assets. By harnessing the capabilities of machine learning, predictive analytics, and extensive data processing, we deliver unmatched insights and efficiencies to satellite operators and space agencies. Our commitment lies in advancing the frontiers of the space industry, enabling our clients to reach unprecedented levels of success and operational effectiveness.
Role Responsibilities
In this position, you will take charge of designing, developing, and deploying state-of-the-art machine learning models and AI algorithms tailored to address intricate challenges in satellite operations and mission strategies. You will work alongside a diverse team of engineers, data scientists, and subject matter experts to develop scalable solutions that foster operational efficiency and innovation. Key tasks will include:
- Data preprocessing and management
- Model training and performance evaluation
- Deployment of AI systems
- Continuous refinement of machine learning workflows
Essential Qualifications
- Minimum of 3 years of experience in Machine Learning and AI
- Proficient in ML frameworks such as TensorFlow, Keras, or PyTorch
- Strong programming skills in Python, including Django
- Experience with Jupyter Notebook
- Familiarity with ORTools for various programming needs
- Experience in General Model Development (GNN)
Preferred Qualifications
- Experience with C++ or C# is advantageous
- Proficiency in a Linux development environment
- Strong background in Operational Research
Technical Focus
- 100% Machine Learning
- 80% AI Engineering
Daily Activities
- Collaborating extensively with the team
- Cross-functional collaboration with other IT teams
- Mentoring and guiding Junior, Mid, and Senior Developers
Benefits Offered
- 401(K) retirement plan
- Equity and stock options
- Opportunities for professional growth
- Comprehensive medical insurance
- Dental and vision benefits
- Hybrid work model
- Designated "No Meetings" days
- Paid Time Off (PTO)
- Continuous learning and professional development programs
Applicants must possess authorization to work in the US on a full-time basis.
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