EchoStar is seeking an Agentic AI Scientist to lead the development and deployment of enterprise-scale machine learning (ML) and deep learning solutions to enhance automation, optimization, and decision intelligence across the organization.
Requirements
- Strong Python skills; proficient in Scikit-learn, XGBoost, TensorFlow, PyTorch, FastAPI/Flask
- Skilled in data processing with Pandas, NumPy, SQL, and PySpark
- Expertise in regression, classification, clustering, forecasting, and model evaluation
- Experience with DL for vision, NLP, tabular data using TensorFlow/PyTorch
- Worked with AWS tools: SageMaker, Lambda, S3, EKS, Athena
- Familiar with CI/CD (GitLab), Docker, Kubernetes, Terraform for ML deployment
- Knowledge of MLOps, model versioning, monitoring, and lifecycle management
Responsibilities
- Design, train, and deploy ML and deep learning models for business applications
- Build scalable pipelines for model training, validation, deployment, and monitoring
- Analyze large, complex datasets to deliver actionable insights and recommendations
- Develop modular APIs and tools to integrate models into enterprise platforms
- Partner with teams to define use cases and translate business problems to ML solutions
- Apply testing, benchmarking, and monitoring to ensure robust model performance
- Use Git, GitLab CI/CD, Docker, and Terraform for ML lifecycle automation
Other
- Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.
- 5+ years of experience in ML, deep learning, or AI development in production settings
- Strong record of delivering business value via applied statistical and ML methods
- Strong communication and teamwork in Agile, cross-functional environments
- Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
