MD-Germantown, United States
Full Time
a year ago
Job description
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.
EchoStar has an exciting opportunity for a Data Mining Engineer. This role will apply data mining techniques, statistical analysis and build machine learning models to extract valuable insights from data. This position is located onsite at our headquarters in Germantown, MD.
Responsibilities:
- Work with cross-functional teams to develop and implement scalable ML solutions.
- Perform exploratory data analysis to extract insights and transform data into features for modeling
- Build machine learning models to include classification, regression, clustering, and deep learning neural nets.
- Continuously monitor and refine models to improve accuracy and performance
- Deploy ML models and integrate them with production systems and APIs
- Maintain technical documentation for ML models and processes
- Maintain expert knowledge in cutting edge data science disciplines and techniques to develop innovative data science solutions.
Basic Requirements:
- Bachler's degree in Computer Science, Statistics or related technical field
- 2+ years of industry experience building, testing and deploying machine learning models
Emerging Technology Skills:
- Proficiency in Python and experience with frameworks like TensorFlow, Keras, PyTorch etc.
- Expertise building, validating, testing, deploying and maintaining machine learning models in Python
- Experience using data science/machine learning platforms like Azure AI, GCP AI Platform etc.
- Excellent statistical, mathematical and predictive modeling skills
- Working SQL knowledge and experience with BI tools like Big Query
- Strong communication and presentation abilities to explain data science concepts and insights to business teams
- Large language models like GPT-3.5T, GPT-4
- Retrieval augmented generation
- Vector databases
- Prompt engineering for optimizing large models
Will be eligible for discretionary bonus, with funding based on company performance.
#LI-EM1
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 hiring and retaining a diverse workforce. 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. 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.
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Job Expired