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. With more than 50,000 customers across the world, we’re achieving that goal. But we know we 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 why we’re consistently recognized by Gartner, Forrester and IDC as a category leader in the marketplace. Learn more at flexera.com
We are seeking a Principal Machine Learning Engineer with 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 a high-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:
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.
10+ 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.
Should have experience with AWS, Terraform. Prior work experience with Databricks and Spark is preferred.
Hands-on experience with GenAI, 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 [email protected].
Skills Required
- 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 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
- Experience with AWS, Terraform
- Hands-on experience with GenAI, LLMs and Agentic AI frameworks (e.g., OpenAI, Hugging Face, LangChain)
Flexera Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Flexera and has not been reviewed or approved by Flexera.
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Fair & Transparent Compensation — Pay is considered competitive, with base salaries often viewed as fair within a total compensation approach that includes bonus and equity components. Feedback suggests the company emphasizes fair compensation practices that support overall satisfaction.
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Leave & Time Off Breadth — Time off is broad, including generous or unlimited PTO, paid holidays, sick days, volunteer time, and bereavement leave. Flexible time-off practices are seen as contributing positively to work-life balance.
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Healthcare Strength — Coverage spans medical, prescription, dental, and vision alongside mental wellness support. Additional protections like life insurance and optional pet insurance expand the healthcare offering.
Flexera Insights
What We Do
Flexera delivers SaaS-based IT management solutions that enable enterprises to accelerate digital transformation and multiply the value of their technology investments. We help organizations inform their IT with definitive visibility into complex hybrid IT ecosystems, providing unparalleled IT insights that allow them to seize technology opportunities. And we help them transform their IT with tools that deliver actionable intelligence across an ever-increasing range of dimensions to effectively manage, govern and optimize their hybrid IT estate. More than 50,000 customers subscribe to our technology value optimization solutions, delivered by 1,300+ passionate team members worldwide. To learn more, visit flexera.com
Why Work With Us
People work here for, well, the people. People stay for the camaraderie with smart, passionate teams who actually like working together and managers who support them. We also offer competitive benefits, hybrid working and unlimited time off. Our inclusivity scores are in the top benchmark and we are consistently rated a “great place to work.”
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