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Tier-1 employer, mid-level metro role with Python/ML and cloud skills creates high applicant competition.
Role requires specialized GenAI/ML engineering skills and LLM experience, limiting cross-industry transferability.
Multiple mandatory technical skills, explicit 5+ years, and ML/LLM specialization make shortlisting highly strict.
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Design, develop, test, and maintain scalable backend applications and high-performance APIs using Python frameworks (Flask, Django, FastAPI).
Build and deploy Generative AI applications using large language models (e.g., GPT-4, Claude, Gemini) and orchestrate multi-agent AI systems with relevant frameworks.
Implement advanced retrieval pipelines (e.g., RAG, Graph RAG) with vector databases and integrate third-party APIs to optimize speed and scalability of enterprise AI solutions.
Minimum 5+ years of professional experience in Python development and machine learning frameworks.
Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field (BTECH/MTECH/MCA).
Strong proficiency in Python 3.x; experience with ML frameworks such as PyTorch, TensorFlow, Scikit-learn, XGBoost including fine-tuning (LoRA, QLoRA, PEFT).
Hands-on experience building and deploying Generative AI / LLM applications in production; familiarity with Docker, Kubernetes, and cloud platforms (AWS, GCP, or Azure).
Experienced Python developer with deep expertise in ML integration and Generative AI, comfortable working with both backend API development and AI orchestration frameworks.
Capable of handling large-scale data processing (PySpark skills are a plus) and complex distributed system architectures, including microservices and asynchronous programming.
Proficient in DevOps best practices including CI/CD pipelines, containerization, and version control (Git) to manage end-to-end deployment and reliability of AI-powered applications.