Job Description
Company Summary
EchoStar is reimagining the future of connectivity. Our scope includes:
- Satellite television service
- Live-streaming and on-demand programming
- Smart home installation services
- Mobile plans and products
Brands include:
- Boost Mobile
- DISH TV
- Gen Mobile
- Hughes
- Sling TV
Department Summary
Our financial organization supports innovative ideas with creative solutions, offering team members hands-on experience across diverse business lines such as:
- Accounting
- Audit
- Supply Chain Management
Job Duties and Responsibilities
Role: AI Engineer
Key Responsibilities:
- Lead design, development, and deployment of GenAI/ML solutions
- Build AI solutions focusing on NLP, predictive analytics, network optimization
- Develop and optimize machine learning models for network monitoring and troubleshooting
- Design data pipelines, manage deployments, and maintain infrastructure
- Oversee ML lifecycle including data collection, training, validation, testing, and improvements
- Collaborate with cross-functional teams and mentor junior engineers
- Design AI/ML models for 5G network performance
- Optimize pipelines for real-time data, develop APIs
- Implement CI/CD pipelines with tools like GitLab and Jenkins
- Conduct testing, benchmarking, documentation
- Lead AI/ML initiatives and contribute to strategic roadmaps
Skills, Experience, and Requirements
Education and Experience
- Bachelor's degree in CS, Engineering, or related; Master’s preferred
- 5+ years in AI/ML, GenAI, or software development with AI focus
Technical Qualifications
- Proficiency in Python
- Experience with AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn, AutoML
- Hands-on with generative AI models, RAG architecture, NLP
- Familiarity with cloud platforms: AWS (SageMaker, EC2, S3), GCP
- Data preprocessing, feature engineering
- Version control with GitHub
- Development tools: VS Code, Jupyter Notebook
- Knowledge of Snowflake, Oracle (plus), AWS Bedrock API, other GenAI APIs
- Testing, deployment expertise
- Agile methodology experience
Desired Skills
- Data ingestion, retrieval, generation methods and hybrid search
- Telecommunications industry experience (plus)
- Google Cloud Platform knowledge (plus)
- Agentic AI architecture, multi-agent systems, reinforcement learning
- Prompt engineering (zero-shot, few-shot, chain-of-thought)
- IR/RAG systems with Vector DB and Knowledge Graph
- Model evaluation, A/B testing, benchmarking
- SQL, SSMS, SSIS, ASP.NET
- UiPath (good to have)
Salary Range
$96,250 - $137,500 per year
Benefits
- Flexible health perks include FSA, HSA, 401(k) with match, ESPP
- Career growth opportunities
- Flexible time away policies
Note: Compensation varies based on qualifications, skill level, location, and other factors.
Additional Information
- Pre-employment screening required (drug test, DMV check)
- Committed to diversity and inclusion
- Posting active until position is filled