AI/ML Engineer at Flexera

Bengaluru, Karnataka, India

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, FinOps, ITAM, CloudIndustries

Requirements

BTech/BE, Masters or Ph.D. in Computer Science, Machine Learning, AI, or a related field
2+ 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., TensorFlow, PyTorch, scikit-learn) and Python
Familiarity with GenAI and LLMs (e.g., OpenAI, Hugging Face, LangChain), including practical implementation in production

Responsibilities

Translate business and technical requirements into ML requirements, architecture and design specs
Build AI/ML based solutions starting from proof-of-concept with representative datasets to final solution with end-to-end pipeline
Build and deploy models for cloud workload prediction, resource optimization, 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

Skills

GenAI

LLMs

MLOps

Python

Cloud Native

Kubernetes

Docker

AWS

Azure

GCP

Data Engineering

ETL

Scalable ML Systems

Flexera

IT management and software optimization solutions

About Flexera

Flexera provides IT management software and optimization solutions that help businesses control their software and IT costs. Its products enable organizations to manage their technology investments more efficiently, particularly during digital transformation efforts. Flexera's main offerings include IT asset management (ITAM) and software asset management (SAM) tools, which allow clients to track and optimize software usage. Additionally, the company offers cloud management solutions to help businesses manage their cloud resources effectively. Flexera differentiates itself from competitors through its Technology Value Optimization (TVO) approach, which focuses on maximizing the business value from technology expenditures. The company's goal is to help clients achieve a return on investment (ROI) from their technology spending, ensuring that every dollar spent contributes to growth and efficiency.

Itasca, IllinoisHeadquarters

2008Year Founded

$81.4MTotal Funding

BUYOUTCompany Stage

Enterprise SoftwareIndustries

1,001-5,000Employees

Risks

Integration of Snow Software may disrupt services if not managed well.

Rising SBOM demand may strain Flexera's resources and compliance efforts.

Rapid cloud tech evolution could lead to outdated Flexera offerings.

Differentiation

Flexera's Technology Value Optimization maximizes business value from technology investments.

Acquisition of Snow Software enhances Flexera's hybrid IT management capabilities.

Flexera's SBOM management addresses rising cybersecurity threats and regulatory requirements.

Upsides

Recognition as a leader in Cloud Cost Management boosts Flexera's market credibility.

Flexera One FinOps tool optimizes costs and improves IT-finance collaboration.

Technology Intelligence Platform bridges ITAM and FinOps for hybrid IT challenges.

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