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Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments-from on-premises to SaaS to containers to cloud.
We're transforming the software industry. We're Flexera. Withmore than 50,000 customersacross the world, were achievingthat goal.Butwe knowwe can't do any of that without our team.Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans Come and see whywe're consistently recognized by Gartner, Forrester and IDCas a category leader in the marketplace.Learn more atflexera.com
We are seeking aPrincipalMachine Learning Engineerwith a strong technical foundation and proven technical leadership experience to drive the development and deployment of ML and GenAI-powered solutions in a cloud-native environment.
In this role, you will work with ahigh-impact team of AI/ML, Data and MLOps engineers in a matrixed org structure, collaborate cross-functionally with engineering, product, and DevOps, and own strategic initiatives focused on intelligent workload management, cloud cost optimization, and infrastructure automation.
If you are passionate about building scalable ML systems, driving team performance, and bringing cutting-edge AI (including LLMs and Agentic AI) into production, this is your opportunity to make a meaningful impact.
Key Responsibilities:
Buildend-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 ofMLOps best practices and champion operational excellence for ML infrastructure.
Build and deploy models forcloud 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.
10+ years of experience in ML/AI/DE
Proven track record of deliveringML projects into production at scale, preferably in a SaaS/cloud infrastructure setting.
Strong hands-on experience withML frameworks (e.g.,scikit-learn, TensorFlow, PyTorch) andPython.
Should have experience with AWS, Terraform. Prior work experience with Databricks and Spark is preferred.
Hands-on experience withGenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production.
Flexera is proud to be an equal opportunity employer. Qualified applicants will be considered for open roles regardless of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by local/national laws, policies and/or regulations.
Flexera understands the value that results from employing a diverse, equitable, and inclusive workforce. We recognize that equity necessitates acknowledging past exclusion and that inclusion requires intentional effort. Our DEI(Diversity, Equity, and Inclusion)council is the driving force behind our commitment to championing policies and practices that foster a welcoming environment for all.
We encourage candidates requiring accommodations to please let us know by emailing.
Job ID: 147824415
Skills:
Machine Learning, Pytorch, Python, MLOps tooling, Cloud platforms, Large-scale data systems, Pipeline orchestration, Document AI systems, Layout analysis
Skills:
Java, Machine Learning, Tensorflow, Pytorch, Python, Large-scale ML systems, Agentic Systems, Diagnostics, Knowledge retrieval, Model versioning, Model training, Feature engineering, Data pipelines, Distributed training, Inference optimizations, Monitoring
Skills:
Java, Machine Learning, Agile Development, Natural Language Processing, data mining, Data Modeling, Tensorflow, Deep Learning, Git, Computer Vision, Pytorch, Data Visualization, Python, data pre-processing, model training, Statistical Modeling, sci-kit, feature engineering
Skills:
Python, Cuda, Deep Learning, TensorRT, Quantization, ONNX
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