Key skills
CloudPythonPyTorchScikit-LearnTensorflowAIMachine LearningMLGenAILLMOpenAILangChainAgenticTensorFlowscikit-learnHugging FaceMLOpsSaaS
About this role
Role Overview
- Build end-to-end AI/ML/Agentic-AI solution — from ideation, research, and experimentation to deployment and monitoring in production.
- Manage project timelines, deliverables, and cross-team dependencies in coordination with product and engineering leads.
- Translate business and technical requirements into ML roadmap, architecture, and actionable workstreams.
- Drive adoption of MLOps best practices and champion operational excellence for ML infrastructure.
- Build and deploy models for cloud workload prediction, resource optimization, and intelligent automation.
- Integrate GenAI, LLM-based and Agentic AI solutions into customer-facing products and internal systems.
- Communicate ML strategy, progress, and insights effectively to both technical and non-technical stakeholders.
Requirements
- BTech/BE, Masters or Ph.D. in Computer Science, Machine Learning, AI, or a related field.
- 7+ years of experience in ML/AI/DE
- Proven track record of delivering ML projects into production at scale, preferably in a SaaS/cloud infrastructure setting.
- Strong hands-on experience with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch) and Python.
- Hands-on experience with GenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production.
Tech Stack
- Cloud
- Python
- PyTorch
- Scikit-Learn
- Tensorflow
Benefits
- Flexera is proud to be an equal opportunity employer.
- We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort.