Entry Level AI Engineer

EchoStar • Germantown, MD • 14h ago

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 careers@echostar.com. This contact information is for accommodation requests only; you may not use this contact information to inquire about the status of an application.

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