Machine Learning Team Lead
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Job Description
Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps Flexera provides awardwinning dataoriented 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 environmentsfrom onpremises to SaaS to containers to cloud.
Were transforming the software industry. Were Flexera. Withmore than 50000 customersacross the world were achievingthat goal.Butwe knowwe cant do any of that without our team.Ready to help us reimagine the industry during a time of substantial growth and ambitious plans Come and see whywere consistently recognized by Gartner Forrester and IDCas a category leader in the marketplace.Learn more at
We are seeking a Machine Learning Team Lead with a strong technical foundation and proven leadership experience to drive the development and deployment of ML and GenAIpowered solutions in a cloudnative environment.
In this role you will lead a highimpact team of ML engineers and AI researchers collaborate crossfunctionally 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 cuttingedge AI (including LLMs and GenAI) into production this is your opportunity to make a meaningful impact.
Key Responsibilities:
Lead and mentor a team of ML engineers and AI researchers fostering innovation accountability and professional growth.
Own the endtoend ML lifecycle from ideation research and experimentation to deployment and monitoring in production.
Manage project timelines deliverables and crossteam 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 and LLMbased solutions into customerfacing products and internal systems.
Communicate ML strategy progress and insights effectively to both technical and nontechnical stakeholders.
Requirements:
./. or Ph.D. in Computer Science Machine Learning AI or a related field.
5 years of experience in ML/AI (3 years with MSC) including 3 years of experience in a team leadership or technical management role.
Proven track record of delivering ML projects into production at scale preferably in a SaaS/cloud infrastructure setting.
Strong handson experience with ML frameworks (e.g. TensorFlow PyTorch scikitlearn) and Python.
Familiarity with GenAI and LLMs (e.g. OpenAI Hugging Face LangChain) including practical implementation in production.
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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.
Employment Type
Full-Time
