Manager - Data Scientist

Manager - Data Scientist

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.

Work location: Bangalore.

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 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.