Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Strong brand, mid-level GenAI role in Bangalore with broad skill requirements increases applicant competition.
Specialized GenAI and ML engineering skills and LLM experience limit easy cross-industry transferability.
Explicit 4–7 years plus mandatory GenAI, ML, cloud, and CI/CD stack enforces strict filtering.
Design, build, and deploy scalable Generative AI solutions using large language models and transformer architectures.
Fine-tune foundation models, optimize prompt engineering, and implement AI model pipelines with Python, PyTorch, Hugging Face, and LangChain.
Collaborate with data engineers and MLOps teams to productionize AI models on cloud platforms (Azure, AWS, GCP), ensuring robustness and compliance.
4 to 7 years of relevant work experience in Generative AI and related technologies.
Proficient in Python, PyTorch, Hugging Face Transformers, and cloud platforms (Azure, AWS, or GCP).
Experience with orchestration frameworks like LangChain, API development (FastAPI or Flask), and ML pipeline tools (MLflow, Weights & Biases).
Bachelor's degree in Technology (B.E/B.Tech) is mandatory.
Strong expertise in building enterprise-grade Generative AI solutions with extensive experience in model fine-tuning and prompt engineering.
Experience working in collaborative environments with MLOps and cloud infrastructure teams to deploy robust AI systems.
Demonstrated proficiency implementing CI/CD pipelines for ML and familiarity with AI platform services like Azure AI Foundry or GCP Vertex.