DISH Network Technologies India Pvt. Ltd is a technology subsidiary of EchoStar. Our organization is at the forefront of technology, serving as a disruptive force and driving innovation and value on behalf of our customers.
Our product portfolio includes Boost Mobile (consumer wireless), DISH TV (direct broadcast satellite), Sling TV (over-the-top service provider), Hughes (global satellite connectivity solutions) and Hughesnet (satellite internet).
Our facilities in India are some of EchoStar's largest development centers outside the U.S. As a hub for technological convergence, our engineering talent is a catalyst for innovation in multimedia network and communications development.
EchoStar does not charge any fees to job applicants or candidates at any point during the recruitment and hiring process. We strongly advise all individuals to be vigilant and disregard any unsolicited requests for payment or personal financial information related to an EchoStar employment opportunity.
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 people play vital roles in connecting consumers with the products and platforms of tomorrow.
Job Duties and Responsibilities
- Lead the design, execution, and scaling of end-to-end AI/ML and GenAI initiatives, including LLM fine-tuning and continuous optimization in production.
- Drive the integration of advanced AI/ML models (classical ML models and GenAI models like GPT, Claude, and other LLMs via APIs from OpenAI, Anthropic, AWS Bedrock, etc.) into key business workflows.
- Oversee the development of RAG pipelines, embeddings-based search systems, and other GenAI use cases like copilots, document intelligence, and knowledge assistants.
- Collaborate with product, engineering, and infrastructure teams to ensure seamless AI/ML system integration into scalable, secure cloud-native environments (AWS preferred).
- Establish and maintain robust MLOps pipelines using tools such as GitLab CI/CD, Docker, K8s
- Define best practices for model evaluation, benchmarking, and governance
- Manage, mentor, and grow a cross-functional team while fostering a culture of innovation, experimentation, and continuous learning in AI/ML.
Skills, Experience and Requirements
- Minimum 14 years of experience with 8+ years of experience in data science, machine learning, or AI, and at least 2+ years in a leadership or managerial role.
- Proven track record of delivering production-grade ML/GenAI systems at scale within enterprise environments.
- Strong expertise in Python ML frameworks
- Hands-on experience with LLMs, prompt engg, vector stores, RAG, agentic architecture
- Deep understanding of Classical ML and Deep learning, NLP, GenAI
- Experience with AWS services: SageMaker, Lambda, S3, EKS, Athena, Bedrock
- Familiarity with software engineering practices including CI/CD, version control (Git), containerization (Docker), and orchestration (Kubernetes).
- Strong interpersonal, stakeholder management, and cross-functional collaboration skills.
- Prior experience applying Agile methodologies in AI/ML product development.
- Experience designing fully automated, configuration driven, extensible solutions
- Experience engaging in programs with multiple stakeholder organizations
Benefits
- Insurance and Wellbeing
- Financial & Retiral Benefit Program
- Mental Wellbeing
- Employee Stock Purchase Program (ESPP)
- Professional Development Reimbursement
- Time Off
- Team Outings
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)
Skills Required
- Minimum 14 years experience with 8+ years in data science, machine learning, or AI, and at least 2+ years in a leadership or managerial role
- Proven track record of delivering production-grade ML/GenAI systems at scale within enterprise environments
- Strong expertise in Python ML frameworks
- Hands-on experience with LLMs, prompt engineering, vector stores, RAG, agentic architecture
- Deep understanding of Classical ML, Deep Learning, NLP, and GenAI
- Experience with AWS services: SageMaker, Lambda, S3, EKS, Athena, Bedrock
- Familiarity with CI/CD, version control (Git), containerization (Docker), and orchestration (Kubernetes)
- Prior experience applying Agile methodologies in AI/ML product development
- Experience designing fully automated, configuration-driven, extensible solutions
- Experience engaging in programs with multiple stakeholder organizations and strong stakeholder management skills
What the Team is Saying
EchoStar Compensation & Benefits Highlights
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Retirement Support — A 401(k) with company match and discretionary profit sharing are prominently offered, with formal plan infrastructure confirmed in corporate and SEC materials. These features position long‑term savings as a core element of total rewards.
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Equity Value & Accessibility — An Employee Stock Purchase Program with a 15% discount is a headline benefit. Post‑merger equity alignment steps (e.g., option exchanges) signal accessible participation in ownership programs.
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Wellbeing & Lifestyle Benefits — Perks such as DISH/Sling/Boost discounts, wellness tools/EAP with five free counseling sessions, and HSAs/FSAs extend value beyond base pay. Tuition reimbursement up to $5,000 further supports personal and professional wellbeing.
EchoStar Insights
What We Do
Tune into the innovation, collaboration and culture that our team members bring to the office every day. We want you to be a part of our journey to build the next generation of technology that transforms the way the world communicates. Our team members are the key to our history of groundbreaking innovation and our continued progress. If you bring an inquisitive curiosity, a sense of pride in your work, an openness to adventure and a drive to win, we’ll provide the structure to take the next step in your career. This is more than just another job, this is your launchpad to achieve your potential and a community dedicated to your growth.
Why Work With Us
At EchoStar, we work to create opportunity and cultivate an environment where people thrive. Between our brands, our partners, our teams and our customers, the opportunities are endless. Get started on your next career adventure with EchoStar!
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EchoStar Offices
OnSite Workspace
All team members are in person at one of our locations across the globe. We proudly call Colorado home with several corporate offices in the Denver-Metro area and 4,000+ team members in the Denver-Metro area.
