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EchoStar

Engineer II - Generative AI & ML

Posted 14 Days Ago
In-Office
Englewood, CO
83K-119K Annually
Junior
In-Office
Englewood, CO
83K-119K Annually
Junior
Engineer II will design, develop, and deploy scalable AI/ML systems, ensuring integration with Generative AI and cloud infrastructure for analytics and decision support.
The summary above was generated by AI
Company Summary
EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.
Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Department Summary
Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
ECHOSTAR is seeking an Engineer to lead the design, development, and deployment of advanced AI/ML and Generative AI (GenAI) systems across enterprise applications. This role focuses on building scalable, production-ready AI solutions for real-time analytics, intelligent automation, and decision support systems. You will collaborate with cross-functional teams to ensure seamless integration of AI/ML technologies into cloud-native infrastructure while maintaining high standards of performance, reliability, and security.
Key Responsibilities:
  • Design and implement AI/ML systems and integrate with Generative AI technologies
  • Collaborate with the data science teams to integrate AI/ML solutions into cloud infrastructure, ensuring smooth transitions and knowledge continuity
  • Optimize AI/ML pipelines for real-time data handling, scalability, and develop APIs for seamless system communication
  • Implement CI/CD pipelines with tools like GitLab and leverage cloud-native technologies for scalable AI solutions
  • Conduct testing, benchmarking, and documentation to ensure AI/ML systems meet performance and functional requirements
  • Lead AI/ML initiatives, mentor junior engineers, and contribute to roadmaps, aligning solutions with project goals

Skills, Experience and Requirements
Education and Experience:
  • Bachelor's Degree in Computer Science, Engineering, or a related technical field (Master's preferred)
  • 1-4 years of professional experience in AI/ML, GenAI, or a combination of software development and AI-driven solutions, with extensive expertise in integrating AI/ML into enterprise-scale applications
  • Strong track record of delivering scalable AI/ML systems

Skills and Qualifications:
  • Expertise in fine-tuning large language models
  • Strong understanding of AI/ML applications
  • Experience designing production-grade AI pipelines for real-time decision-making and predictive analytics
  • Proficient in cloud-based AI solutions using AWS services such as Athena, SageMaker, Lambda, EKS, and S3
  • Skilled in Python programming, data processing libraries (Pandas, NumPy, Apache Spark), and API development for system integration
  • Knowledgeable in CI/CD pipelines (GitLab), version control (Git), containerization (Docker, Kubernetes), and Agile development

Visa sponsorship not available for this role
Candidates must be willing to participate in at least one in-person on-site interview
Salary Ranges
Compensation: $83,160.00/Year - $118,800.00/Year
Benefits
We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: DISH Benefits .
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location.
Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.
The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.
We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )

Top Skills

AI
Spark
AWS
Docker
Generative Ai
Git
Gitlab
Kubernetes
Ml
Numpy
Pandas
Python
HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

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