Staff Engineer-AI
TJX India
- Hyderabad, Telangana
- Permanent
- Full-time
- Inclusive culture and career growth opportunities
- Global IT Organization which collaborates across U.S., Canada, Europe, Australia and India, click here to learn more
- Challenging, rewarding, collaborative, and team-based environment
- Modernized tools and technology
- Design, develop, test and deploy AI solutionsusing Azure AI services to meet business requirements.
- Train, fine-tune, and evaluate AI models, including large language models (LLMs), ensuring they meet performance criteria and integrate seamlessly into new or existing solutions.
- Develop and integrate APIsto enable smooth interaction between AI models and other applications, facilitating efficient model serving.
- Collaborate effectivelywith cross-functional teams, including data scientists, software engineers, and business stakeholders, to deliver comprehensive AI solutions.
- Optimize AI and ML model performancethrough techniques such as hyperparameter tuning and model compression to enhance efficiency and effectiveness.
- Monitor and maintain AI systems, providing technical support and troubleshooting to ensure continuous operation and reliability.
- Create comprehensive documentationfor AI solutions, including design documents, user guides, and operational procedures, to support development and maintenance.
- Stay updated with the latest advancementsin AI, machine learning, and cloud technologies, demonstrating a commitment to continuous learning and improvement.
- Design, code, deploy, and support software components, working collaboratively with AI architects and engineers to build impactful systems and services.
- Lead medium to large initiatives, prioritizing and assigning tasks, providing guidance, and resolving issues to ensure successful project delivery.
- Design, develop, and deploy AI/ML and GenAI solutions in a cloud-native (Azure) environment.
- Build and operationalize end to end MLOps pipelines including model training, deployment, monitoring, and versioning using tools such as Azure ML, MLflow, Databricks, and Azure DevOps/GitHub.
- Implement RAG pipelines, prompt engineering, guardrails, and LLMOps best practices for scalable GenAI applications.
- Develop secure, scalable APIs and integrate with Azure AI Services (Document Intelligence, Search, Vision, Speech).
- Work with vector databases (FAISS, Weaviate, Pinecone, pgvector, Azure Cognitive Search) for embeddings and retrieval workflows.
- Collaborate in an Agile/Scrum environment, including requirements gathering, design, testing, and documentation using Jira and Confluence.
- Ensure AI solutions follow security best practices such as encryption, access control, and safe deployment principles.
- Apply ethical AI principles including bias detection, responsible ML, and fairness.
- Troubleshoot issues using monitoring tools like App Insights, Azure Monitor, and Splunk.
- Stay current on the latest developments in GenAI, LLMs, NLP, and multimodal AI.
- Bachelor's degree in computer science, Engineering, or a related field.
- 5+ years of hands-on AI/ML development experience with production deployments.
- Strong proficiency in Python, SQL, and modern software engineering practices.
- Experience with Azure AI Foundry, Azure OpenAI, Azure AI Search, and core Azure cloud services.
- Expertise in version control (Git), CI/CD pipelines for ML, and cloud DevOps workflows.
- Practical experience with data engineering tools and scalable data processing (e.g., Databricks, PySpark).
- Strong communication, analytical thinking, and problem-solving abilities.
- Knowledge of security best practices for AI systems and responsible AI considerations.
- Experience with LLM application frameworks such as Lang Chain, Semantic Kernel, and LlamaIndex.
- Experience with multimodal AI use cases and advanced GenAI workloads.
- Knowledge of feature stores and ML operations tools such as Feast, Tecton, Evidently, or WhyLabs.
- Familiarity with vector search implementation at scale.
- Ability to design guardrails and content safety workflows for LLM applications.
- Strong passion for continuous learning, research, and staying ahead of GenAI trends.