Bengaluru, India
Open 6 months, first seen by us 188 days agoEmployment type in the employer’s posting: FULL_TIMEFrom the employer’s posting
Lead design, execution and scaling of end-to-end AI/ML and GenAI initiatives
Integrate classical ML and LLM models into key business workflows via APIs
Oversee RAG pipelines, embedding search and GenAI copilots and assistants
Build and maintain MLOps pipelines using GitLab CI/CD, Docker and K8s
Manage, mentor and grow a cross-functional AI/ML team
Lead the design, execution, and scaling of end-to-end AI/ML and GenAI initiatives
Drive the integration of advanced AI/ML models
Oversee the development of RAG pipelines, embeddings-based search systems
Establish and maintain robust MLOps pipelines using tools such as GitLab CI/CD, Docker, K8s
Manage, mentor, and grow a cross-functional team
From the employer’s posting.
Our Technology teams challenge the status quo and reimagine capabilities across industries.
In the employer’s words · Read in context
Open 6 monthsWe first saw this posting 188 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 188
Up longer than most. Similar jobs usually come down between day 7 and day 54.
Well past EchoStar’s usual: its jobs come down by about day 44.
From 7,963 similar postings that came down, and 36 of EchoStar’s. Coming down is not always a hire.
9 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- 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
- 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.
- 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
- 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).
- 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
- 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.
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New Data Leadership postings at the employers we follow are up 7% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
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.
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.
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 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)
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Bengaluru, India
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