• Entry Level AI Engineer

    EchoStar (Germantown, MD)


    **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.

    \#LI-AM1

    We are an Equal Opportunity/Affirmative Action employer and 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. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. U.S. Citizenship is required for certain positions. EEO is the law.

     

    At EchoStar, you have the right to request reasonable accommodations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact [email protected]. This contact information is for accommodation requests only; you may not use this contact information to inquire about the status of an application.