Machine Learning Lead

1 Month ago • 5 Years + • Research Development

Job Summary

Job Description

The Machine Learning Team Lead will lead a high-impact team of ML engineers and AI researchers, collaborating with engineering, product, and DevOps teams. The role involves owning strategic initiatives focused on intelligent workload management, cloud cost optimization, and infrastructure automation. The responsibilities include leading and mentoring the team, managing the end-to-end ML lifecycle from ideation to deployment, translating requirements into an ML roadmap, driving MLOps best practices, and building models for cloud workload prediction and automation. The role also involves integrating GenAI and LLM-based solutions, and communicating insights to stakeholders.

Must have:

Lead and mentor ML engineers and AI researchers
Manage the end-to-end ML lifecycle
Translate requirements into ML roadmap
Drive MLOps best practices
Build and deploy models for automation
Integrate GenAI and LLMs
B.Sc./M.Sc. or Ph.D. in a related field
5+ years of experience in ML/AI, including 3+ in a team leadership role
Proven delivery of ML projects into production
Strong hands-on experience with ML frameworks and Python
Familiarity with GenAI and LLMs

8 skills required

8 skills required for this role

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saas-business-models

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scikit-learn

pytorch

python

tensorflow

machine-learning

Job Details

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 Machine Learning Team Lead with a strong technical foundation and proven leadership experience to drive the development and deployment of ML and GenAI-powered solutions in a cloud-native environment.

In this role, you will lead a high-impact team of ML engineers and AI researchers, 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 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 end-to-end ML lifecycle — 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, anomaly detection, and intelligent automation.

Integrate GenAI and LLM-based solutions into customer-facing products and internal systems.

Communicate ML strategy, progress, and insights effectively to both technical and non-technical stakeholders.

Requirements:

B.Sc./M.Sc. 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 hands-on experience with ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and Python.

Familiarity with GenAI and LLMs (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 careers@flexera.com.