Company Summary
DISH Network Technologies India Pvt. Ltd is a technology subsidiary of EchoStar Corporation. 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), Boost Mobile Network (5G connectivity), DISH TV (Direct Broadcast Satellite), Sling TV (Over The Top service provider), OnTech (smart home services), 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.
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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
We are seeking an experienced Machine Learning Engineer with 5+ years of expertise in designing and deploying ML models in production environments. The ideal candidate should have strong programming skills in Python and GoLang, experience in building scalable ML services, and a solid understanding of Kubernetes (K8s) and DevOps best practices.
Experience in recommendation systems and search technologies is highly desirable.
Key Responsibilities:
Machine Learning Model Development:
- Design, train, and optimize ML models for real-world applications.
- Work with ML frameworks such as TensorFlow, PyTorch, and Scikit-Learn.
- Implement feature engineering, model evaluation, and hyperparameter tuning.
- Develop efficient model inference pipelines for low-latency predictions.
- Build and maintain GoLang-based microservices for ML model serving.
- Develop scalable and high-performance APIs for real-time ML inference.
- Work with gRPC, REST APIs, and message queues (Kafka, SQS) to integrate ML solutions into production environments.
- Optimize model performance and reduce latency in production systems.
- Deploy and manage ML models on Kubernetes (K8s) using Docker and containerized services.
- Implement CI/CD pipelines to automate testing, deployment, and monitoring.
- Ensure system reliability, scalability, and security for ML workloads.
- Work on observability, logging, and performance tuning of ML services.
- Design and develop recommendation models using collaborative filtering, deep learning, or reinforcement learning.
- Work on vector search, embeddings, and ANN techniques (e.g., FAISS, OpenSearch, Pinecone).
- Improve search ranking algorithms and real-time personalization.
- Implement A/B testing and fine-tune ranking models for search and recommendations.
5+ years of experience in Machine Learning and production-grade ML applications.
Strong proficiency in Python (ML frameworks: TensorFlow, PyTorch, Scikit-Learn).
Experience with GoLang for backend services and ML model integration.
Knowledge of Kubernetes (K8s) for deploying ML workloads and containerized applications.
Experience with CI/CD pipelines for ML deployments and general DevOps best practices.
Understanding of distributed systems, real-time streaming, and API development.
Benefits
- Employee Stock Purchase
- Term Insurance
- Accident Insurance
- Health Insurance
- Training Reimbursement
- Gratuity
- Mobile and Internet Reimbursement
- Team Outings