Posted 19 days ago
AI Engineer
HyderabadOn-site
AI Summary
AI Engineer (SA2) 6-8 years Job Overview: We are seeking a skilled AI Engineer to design, develop, and deploy AI-driven applications with strong full-stack capabilities.
About this role
AI Engineer (SA2)
6-8 years
Job Overview:
We are seeking a skilled AI Engineer to design, develop, and deploy AI-driven applications with strong full-stack capabilities. The role involves building scalable AI solutions, integrating front-end and back-end systems, and working with cloud and data platforms. You will collaborate with cross-functional teams to deliver high-performance AI applications aligned to business requirements.
Key Responsibilities / (Person Specifications):
- Design, develop, and deploy AI applications with strong front-end and back-end integration.
- Build scalable solutions using containerization and pipeline optimization techniques.
- Gather business requirements and translate them into technical solutions.
- Develop real-time data ingestion and analytics solutions using Python, Spark, and cloud platforms.
- Develop full-stack systems ensuring robust design, coding, and performance.
- Provide system support and collaborate with engineering teams for issue resolution.
- Operationalize AI and data analytics tools for enterprise applications.
- Ensure compliance with data governance, quality, and lineage standards.
- Follow SDLC processes for development, deployment, and delivery.
- Develop AI frameworks using open-source and advanced data processing tools.
Key Skills / Job Specifications (Mandatory):
- Strong programming skills in Python/R and Java.
- Experience with backend frameworks such as FastAPI, Flask, Django.
- Experience in AI frameworks like LangChain, LlamaIndex, Semantic Kernel.
- Full-stack development experience (React/Angular, JavaScript).
- Experience building AI/ML analytical solutions.
- Experience with Azure-based AI data platforms.
Preferred Qualifications:
- Experience with Databricks, Fabric, Spark Notebooks.
- Knowledge of SQL/NoSQL databases and Redis.
- Experience with Kafka, Hadoop, Apache Spark.
- Big data processing experience using Azure Databricks.
- Relevant certifications (Azure Data Engineer, Azure AI Engineer).
- Bachelor’s/Master’s degree in Computer Science.
- 6–8 years of relevant experience.
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