Entry Level AI Engineer

EchoStar Corporation (NASDAQ: SATS) is a premier global provider of satellite communication solutions. Headquartered in Englewood, Colo., and conducting business around the globe, EchoStar is a pioneer in communications technologies through its Hughes Network Systems and EchoStar Satellite Services business segments. For more information, visit echostar.com . Follow @EchoStar on Twitter.
Today, our brands include EchoStar, Hughes, DISH TV, Sling TV, Boost Infinite, Boost Mobile, DISH Wireless, OnTech and GenMobile.
EchoStar has an exciting opportunity for an Entry Level AI Engineer in our Hughes Network Systems Division. The ideal candidate will possess expertise in generative AI, traditional machine learning, and deep learning across multiple domains. This position will be located at our headquarters in Germantown, MD.
Basic Responsibilities

• Architect and implement cutting-edge AI applications leveraging generative AI, traditional ML, and deep learning models to improve satellite communication systems and services
• Lead the development of AI products across speech, text, and vision domains, including raw data processing pipelines for satellite data analysis
• Optimize Large Language Model Operations (LLMOps) practices and implement Retrieval Augmented Generation (RAG) techniques for enhanced data processing and analysis
• Design and develop sophisticated AI agents with a focus on observability, performance, and scalability in satellite network environments
• Utilize cloud platforms, particularly Google Cloud Platform, for efficient AI/ML model deployment and scaling across Hughes' global infrastructure
• Implement advanced data storage and retrieval systems, including vector databases, to support AI applications in satellite communications
• Develop and present proofs of concept and demonstrations to showcase AI capabilities to stakeholders within Hughes and to potential clients
• Create data visualizations to effectively communicate complex AI insights and results related to satellite network performance and user behavior
• Collaborate with cross-functional teams to integrate AI solutions into existing Hughes product ecosystems

Qualifications

• Bachelor's degree in Computer Science, Artificial Intelligence, or a related technical field
• 2 years of experience in AI/ML development, with demonstrable expertise in generative AI, traditional ML, and deep learning

Preferred Qualifications:

• Experience with MLOps practices and tools in production environments
• Proficiency in distributed computing and big data technologies (e.g., Spark, Hadoop)
• Proven proficiency in Python and relevant AI/ML frameworks
• Extensive experience with LLMOps, including model fine-tuning, deployment, and monitoring
• Demonstrated expertise in AI agent development and implementation of observability practices
• Strong background in cloud-based AI/ML workflows, particularly with Google Cloud Platform
• In-depth understanding of prompt engineering techniques for large language models
• Proficiency in working with advanced database systems, including Redis and vector databases
• Substantial experience in AI applications across speech processing, natural language processing, and computer vision
• Proven ability to rapidly develop proofs of concept and create compelling demonstrations
• Advanced skills in data visualization and presentation of complex AI concepts
• Expertise in containerization and orchestration tools (e.g., Docker, Kubernetes)
• Experience designing and implementing CI/CD pipelines for AI/ML projects
• Contributions to peer-reviewed publications or open-source AI projects
• Demonstrated success in developing both traditional ML and deep learning models for complex vision tasks
• Familiarity with satellite communication technologies and challenges
• Demonstrated ability to drive innovation in AI technology within the context of satellite communications
• Exceptional analytical and problem-solving skills
• Strong communication skills with the ability to articulate complex technical concepts to diverse audiences
• Proven track record of independent work and collaborative team contributions
• Commitment to continuous learning and staying at the forefront of AI advancements
• Ability to thrive in a fast-paced, research-driven environment

Will be eligible for discretionary bonus, with funding based on company performance.
The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level and competencies. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check.
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Compensation Range
Annual Salary: $80,000.00 - $100,000.00
EchoStar is committed to offering a comprehensive and competitive benefits package. Our programs are designed to provide you with the ability to customize your benefits to best meet the needs of you and your family. Our philosophy for these programs is to support and encourage healthy living and wellness. Our benefits package covers it all-from healthcare savings plans to education assistance and more!

• Financial : 401(k) retirement savings plan with company match; employee stock purchase plan; profit-sharing; company-paid life insurance, AD&D and disability
• Work-Life Balance : Paid Time Off (PTO), company-paid holidays, health and wellness events, exercise and sports facilities (locations may vary)
• Employee Incentives : Tuition reimbursement, employee referral program, year round employee events and community programs, discounts on Dish Network and HughesNet
• Health : Medical, Dental, Vision, Employee Assistance Program (EAP), Health Savings Account (HSA) with opportunities to earn employer contributions; Health Care, Dependent Care and Transportation Flexible Spending Accounts (FSA)

EchoStar and its Affiliated Companies are committed to developing and promoting an inclusive workplace. We are an Equal Employment Opportunity employer- Veteran/Disability. We will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. U.S. Persons or those able to obtain and maintain U.S. government security clearances may be required for certain positions. EEO is the law.