Flexon Technologies Inc.

About the Company

Flexon Technologies is a leading end-to-end technology solutions provider to the IT and Non-IT industry. We specialize in providing "Total Solutions" encompassing technology and services combined with unparalleled domain knowledge that gives our clients a distinct advantage.

We offer integrated business solutions, enabling clients to optimize their business with greater efficiency, and increased responsiveness. Our offerings are designed to cater to the entire range of clients' technology needs. We deliver end-to-end solutions that can build, manage and support our customers' IT systems across the entire value chain infrastructure, applications and business processes. The range of our offerings extends to software (including systems and application software development, implementation, maintenance and frameworks), IT architecture, network consulting, Staffing etc. These technology offerings backed by the domain solutions and knowledge to ensure maximum business alignment, allowing you to derive maximum benefits out of the IT investments.

Listed Jobs

Company Name

Flexon Technologies Inc.

Job Title

Application Security Architect

Job Description

**Job Title:** Application Security Architect **Role Summary:** Lead application security efforts on a remote contract basis. Provide comprehensive security architecture reviews, threat modeling, and actionable risk mitigation strategies for new and existing cloud‑based applications, collaborating closely with design and solution architecture teams. **Expectations:** - Deliver high‑quality security architecture assessments and recommendations. - Communicate findings and remediation plans clearly to technical and non‑technical stakeholders. - Maintain current knowledge of cloud security best practices, threat modeling frameworks, and application security testing methods. **Key Responsibilities:** - Conduct security architecture reviews for new and existing applications. - Perform threat modeling and identify security gaps. - Advise on secure design practices, including SSO implementation and application security testing. - Work with solution architects and design teams to integrate security controls early in the development lifecycle. - Produce actionable reports with prioritized risk mitigation recommendations. **Required Skills:** - Deep understanding of Cloud Security Architecture and related technologies. - Proficiency in threat modeling, security architecture reviews, and application security testing. - Experience with Single Sign-On (SSO) security implementation. - Strong communication skills for translating technical security concepts to stakeholders. - Ability to collaborate effectively with design and solution architecture teams. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Information Security, or related field (preferred). - Professional certifications such as CISSP, CISM, CCSP, or equivalent are highly desirable. ---

Tampa, United states

Remote

10-09-2025

Company Name

Flexon Technologies Inc.

Job Title

AI/ML Engineer

Job Description

**Job Title:** AI/ML Engineer **Role Summary:** Design, develop, and deploy machine‑learning solutions for structured data, leveraging Python, statistical analysis, and modern ML frameworks. Build RESTful APIs with Flask/FASTAPI, integrate models into cloud and MLOps pipelines, and apply LLM concepts (RAG, prompting, SFT) to enhance product capabilities. **Expectations:** - Deliver production‑ready ML models that meet performance and accuracy targets. - Build and maintain scalable, containerized services on AWS or GCP. - Collaborate with cross‑functional teams to translate business requirements into technical solutions. - Continuously monitor model performance and implement improvements. **Key Responsibilities:** 1. Design and implement ML algorithms (Decision Trees, Random Forest, XGBoost, etc.) for structured datasets. 2. Conduct exploratory data analysis, feature engineering, and statistical modeling. 3. Develop RESTful APIs using Flask or FASTAPI to expose ML models. 4. Build and maintain MLOps pipelines (CI/CD, Docker, Kubernetes) for model deployment. 5. Integrate models with cloud platforms (AWS, GCP) and manage associated services. 6. Apply LLM techniques (RAG, prompt design, few‑shot prompting, SFT) to augment solutions. 7. Document code, model architecture, and deployment processes. **Required Skills:** - Python programming (pandas, NumPy, scikit‑learn, PyTorch/TensorFlow/Keras). - ML model development (Decision Trees, Random Forest, XGBoost). - Statistical techniques and exploratory data analysis. - REST API development (Flask, FASTAPI). - MLOps tools (Git, CI/CD pipelines, Docker, Kubernetes). - Cloud platform experience (AWS, GCP). - Understanding of LLM concepts and application. **Required Education & Certifications:** - Bachelor’s degree in Computer Science, Data Science, Statistics, or related field (or equivalent professional experience). - Relevant ML/AI certifications (e.g., AWS Certified Machine Learning – Specialty, GCP Professional Data Engineer) preferred.

Pleasanton, United states

On site

16-09-2025

Company Name

Flexon Technologies Inc.

Job Title

Data Scientist Intern

Job Description

Job title: Data Scientist Intern Role Summary: Junior data science role focused on developing and evaluating predictive machine‑learning solutions for real‑world time‑series data, including classical statistics and deep learning models. Expectations: - Design, implement, and iterate experiments on time‑series data for forecasting and classification tasks. - Produce production‑ready or reproducible model prototypes by collaborating with engineering teams. - Present results in clear, concise reports to non‑technical stakeholders. Key Responsibilities: - Collect, clean, and explore time‑series and panel datasets, addressing missing values, irregular sampling, and seasonality. - Engineer time‑series features (lags, rolling aggregates, trend/seasonality decomposition, calendar features). - Develop and tune predictive models: ARIMA, SARIMAX, Prophet, XGBoost/LightGBM and deep‑learning architectures (RNN, LSTM, GRU). - Build end‑to‑end pipelines for training, validation (cross‑validation, rolling windows), and evaluation using appropriate metrics (MAE, RMSE, MAPE, precision/recall, ROC‑AUC). - Integrate experiments into notebooks or scripts, document assumptions, and share reproducible checkpoints. - Stay updated on latest research and apply novel techniques (attention mechanisms, sequence‑to‑sequence, ensembling). Required Skills: - Strong fundamentals in statistics, probability, and predictive modeling. - Proficient in Python with NumPy, pandas, scikit‑learn. - Experience with deep‑learning frameworks (TensorFlow/Keras or PyTorch); ability to implement RNN/LSTM models. - Solid understanding of time‑series concepts: stationarity, differencing, seasonality, autocorrelation. - Ability to perform exploratory data analysis and visualization using Matplotlib, Seaborn, or Plotly. - Effective communication of technical findings to non‑technical audiences. Required Education & Certifications: - Currently pursuing or recently completed BS/MS in Data Science, Computer Science, Statistics, Applied Mathematics, or related field. - No specific certifications required but familiarity with ML or data‑science courses is beneficial.

Pleasanton, United states

On site

Fresher

21-09-2025

Company Name

Flexon Technologies Inc.

Job Title

Storage Engineer

Job Description

**Job Title** Storage Engineer **Role Summary** Design, deploy, and maintain scalable enterprise storage environments spanning NFS, SMB, and cloud platforms. Lead capacity planning, performance optimization, and data protection strategies while ensuring high availability and compliance with industry standards. **Expectations** - Deliver reliable, secure, and efficient storage solutions that meet business growth and disaster‑recovery requirements. - Maintain proficiency with leading storage vendors and cloud services; apply best practices for data integrity and analytics. - Collaborate cross‑functionally to align storage architecture with IT strategy and operational objectives. **Key Responsibilities** - Architect and implement storage systems using NetApp, Dell EMC, Azure Files, and on‑prem solutions. - Configure and manage NFS, SMB, and other protocols; enforce access controls and secure networking. - Plan and execute RAID configurations, snapshots, deduplication, compression, and tiering to optimize performance and capacity. - Monitor storage health, capacity, and performance; analyze logs and metrics with Splunk, Kusto, or similar tools. - Design and implement backup, replication, and disaster‑recovery strategies across hybrid environments. - Troubleshoot storage‑related incidents, perform root‑cause analysis, and apply preventive measures. - Maintain accurate documentation, configuration baselines, and procedural guidelines. - Advise on and support capacity forecasts, budget planning, and technology roadmap initiatives. **Required Skills** - Expertise with NetApp, Dell EMC, and Azure Files storage platforms. - Proficient in NFS, SMB, and other file‑system protocols. - Strong understanding of RAID levels, snapshot management, deduplication, and compression. - Experience with storage analytics using Splunk, Kusto, or comparable systems. - Networking fundamentals (TCP/IP, subnetting, NFS/SMB traffic tuning). - Scripting/automation in Python, Bash, or PowerShell. - Knowledge of backup, replication, and disaster‑recovery principles. - Excellent communication, documentation, and problem‑solving skills. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Information Technology, or related field. - Optional certifications: NetApp Certified Data Administrator (NCDA), Dell EMC Proven Professional – Storage Administrator (DCP), Microsoft Certified: Azure Storage Engineer Associate, CompTIA Storage+.

Bellevue, United states

On site

01-12-2025