Back
Mid-level AI/ML SDE in Hyderabad with a popular title increases candidate competition.
Strong ML/LLM and MLOps focus plus FPGA-testing context raises domain specificity, limiting cross-industry fit.
Explicit 5-8 years plus mandatory production ML, LLM, MLOps, Python and DB skills enforce high strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, develop, and deploy autonomous AI agents and multi-agent workflows to automate infrastructure tasks, test generation, and failure triage.
Build, train, and implement custom ML models (anomaly detection, predictive analytics, test optimization) for FPGA testing environment.
Architect scalable internal tools integrating LLMs and RAG into engineering ecosystem; connect AI/ML models to data pipelines (Snowflake, MySQL).
5-8 years of professional software engineering experience.
Bachelor’s or Master’s degree in Computer Science, Electrical & Electronics Engineering, or related field.
Expert-level proficiency in Python; hands-on experience with ML frameworks (PyTorch, TensorFlow, Scikit-Learn) and deploying ML models in production.
On-site location requirement: Hyderabad.
Experienced in building and deploying autonomous AI agents and agentic workflows using frameworks like LangChain or AutoGen.
Strong backend and infrastructure engineering focus with proven ability to execute on complex AI/ML projects from design to deployment.
Skilled in MLOps best practices, production-ready coding in UNIX/Linux environments, and integrating AI with existing engineering tools and databases.