Company Summary:

DISH Network Technologies India Pvt. Ltd is a technology subsidiary of Echo Star. 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 Echo Star'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.

Echo Star 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 Echo Star 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: Sage Maker, 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. Echo Star 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.

Echo Star 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. Echo Star has a more detailed Accommodation Policy that applies to employees. Echo Star endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact leaves@dish.com 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)

• 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.

• 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: Sage Maker, 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