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Strong PwC brand, Bangalore metro location, and 4–7 year mid-level role increase applicant competition despite niche GenAI skills.
Specialized GenAI, LLM fine-tuning, and LangChain/PyTorch expertise limit cross-industry transferability.
Mandatory LLMs, PyTorch, HuggingFace, LangChain, cloud and ML CI/CD experience plus explicit 4–7 years makes filters stringent.
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Design, develop, and deploy scalable Generative AI solutions using large language models (LLMs) and transformer architectures.
Build and productionize GenAI model workflows and integrate solutions into enterprise systems on cloud platforms (Azure, AWS, GCP).
Optimize prompt engineering, evaluate model performance, and ensure robustness, scalability, and compliance of AI deployments.
4 to 7 years of work experience in Generative AI or related field.
Bachelor of Technology (B.E/B.Tech) or equivalent degree; M.Tech/MCA also considered.
Mandatory technical skills: Python, PyTorch, Hugging Face Transformers, cloud platforms (Azure/AWS/GCP), LangChain or similar orchestration frameworks, REST APIs (FastAPI/Flask), ML pipeline tools (MLflow, Weights & Biases), and CI/CD for ML.
Work Experience Required: 4 to 7 years
Experienced in building and deploying GenAI applications using foundation models and domain-specific fine-tuning.
Proficient in integrating AI capabilities into enterprise environments with strong cloud and MLOps collaboration skills.
Familiarity with orchestration frameworks, prompt engineering, and iterative model improvement based on quantitative and qualitative evaluation.