- Location
- Haryana, Gurugram International Techpark, Block I Phase 1 Floors G, 3, 4, 5, India
- Workplace
- Remote, Hybrid
- Type
- Full-time
- Department
- Engineering
- Seniority
- Senior
- Education
- Master
- Source
- Workday
Description
Work Flexibility: Hybrid
What You Will Do
- Design, develop, and deploy AI-powered applications leveraging Generative AI, Large Language Models (LLMs), Computer Vision, Machine Learning, and Agentic AI technologies.
- Build scalable backend services, APIs, and workflow orchestration components for AI solutions.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines, intelligent assistants, and workflow automation solutions.
- Develop Computer Vision and OCR solutions for image analysis, document digitization, information extraction, and automation workflows.
- Train, optimize, evaluate, and deploy machine learning and deep learning models for production use.
- Build data pipelines supporting AI model training, validation, and inference workflows.
- Develop cloud-native AI applications and deploy solutions on Azure and other cloud platforms.
- Implement MLOps best practices including model versioning, monitoring, CI/CD, and deployment automation.
- Collaborate with cross-functional teams to translate business and clinical requirements into scalable AI solutions.
- Create technical documentation, architecture diagrams, validation reports, and deployment artifacts.
- Stay current with advancements in AI, Computer Vision, LLMs, and Agentic AI.
What You Will Need
Required Qualifications
- Bachelor's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field with 3+ years of relevant industry experience; OR
- Master's Degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Electrical Engineering, or a related field.
- Strong programming skills in Python.
- Experience with machine learning and deep learning frameworks such as PyTorch or TensorFlow.
- Experience developing APIs, backend services, and distributed applications.
- Familiarity with Computer Vision techniques including OCR, image classification, segmentation, and object detection.
- Understanding of LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), and Agentic AI concepts.
- Experience working with structured and unstructured data and building data pipelines.
- Experience with cloud platforms such as Azure, AWS, or GCP.
- Knowledge of databases, version control systems, CI/CD pipelines, and software development best practices.
- Familiarity with Docker, Kubernetes, and MLOps concepts.
Preferred Qualifications
- Experience with Azure AI Services, Azure OpenAI, Azure Machine Learning, or similar AI platforms.
- Experience with LangChain, LangGraph, Semantic Kernel, AutoGen, or equivalent AI frameworks.
- Experience building production-grade GenAI, RAG, OCR, or intelligent document processing solutions.
- Experience with MLflow, monitoring tools, and model lifecycle management.
- Exposure to healthcare, medical imaging, or regulated environments.
- Experience creating technical architecture documentation and contributing to solution design discussions.
Skills
PythonAWSAzureGCPDockerKubernetesCI/CDMachine LearningDeep LearningComputer VisionTensorFlowPyTorchData Science
