Lead/Senior AI/ML Backend Developer
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Location:
Hyderabad
Qualifications:
BE/B.
Tech/MCA Degree in Computer Science, Engineering, or similar relevant field Total
Experience:
10+ Years
About the Role
We are looking for a Senior AI/ML Backend Developer to build and scale the systems that power our AI features. You will develop reliable Python services, integrate applications and AI models through APIs, and use SQL Server and Databricks to manage and process large datasets. You’ll work directly with business and R&D teams to explore ideas, build proofs of concept, and turn successful experiments into reliable cloud applications. We’re looking for someone who enjoys solving open-ended problems, learning new tools, and moving quickly from concept to production.
Key Responsibilities
- Build scalable, secure backend services and APIs using Python web frameworks.
- Collaborate with business and R&D teams to turn prototypes into production applications.
- Develop scripts and processes to move, clean, and transform data between applications, SQL Server, and Databricks.
- Optimize SQL queries and data processing to improve performance and cost efficiency.
- Design and execute automated benchmarks to evaluate the latency, throughput, and cost efficiency of AI/ML models and backend APIs.
- Work with cloud platforms and automation tools for testing, deployment, and monitoring. Required Skills
- Strong backend development, data processing, and API development skills.
- Extensive experience with Python frameworks such as FastAPI, Flask, or Django.
- Strong knowledge of relational databases, data modeling, and advanced SQL queries.
- Working understanding of AI/ML concepts, including embeddings, vector search, or retrieval-augmented generation (RAG).
- Experience benchmarking backend systems, databases, or ML model inference.
- Experience developing and deploying cloud applications, preferably in Azure.
- Knowledge of version control using Git and CI/CD deployment pipelines.
- Ability to work through evolving requirements and communicate technical tradeoffs. Preferred Experience
- SQL Server and Databricks.
- Integrating LLMs and other AI services into production applications.
- Performance testing tools such as Locust, JMeter, or Python profiling tools.
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