59 jobs in MACHINE LEARNING TECHNOLOGIES LLC

MACHINE LEARNING TECHNOLOGIES LLC in Dallas, TX is hiring a Technical Architect-Data Analytics. The role involves handling big data technologies, cloud computing projects, and managing architecture documentation. Ideal candidates will possess over 12 years of IT experience with strong expertise in Azure Databricks and data lakes.

The position offers a competitive hourly rate based on experience and the potential for contract extension. Join a company committed to equal opportunity and a diverse work environment.

Machine Learning Technologies LLC in Bellevue, WA is seeking a Cloud Network Security Engineer to secure cloud environments and automate IaC security across CI/CD pipelines.

You will implement native firewall controls across AWS, Azure, and GCP, analyze findings from IaC scans, and align security policies with standards like NIST and CIS. Collaboration with engineering and security teams is essential for risk-based decision making.

MACHINE LEARNING TECHNOLOGIES LLC is seeking a highly skilled Google Cloud Platform Cloud Integration Engineer to design and implement scalable, event-driven integration using Cloud Run, GKE, and Pub/Sub.

You will build reliable, observable systems with Terraform/Cloud Deploy, enforce API standards, and optimize architectures across regions. Strong backend skills in Python/Node/Java and experience with ERP integration are required.

Job Overview

Job ID: J52206

Job Title: Network Security DevOps Engineer

Location: Spring, TX

Duration: 9 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT‑EAD, CPT, H‑1B, H4‑EAD, L2‑EAD, GC‑EAD

Client: To Be Discussed Later

Employment Type: W‑2, 1099, C2C

• Design, implement, and manage network security technologies and services across regions and infrastructure environments (data centers, offices, edge).
• Operate and maintain network security appliances (Fortinet, Cisco, Juniper), including software upgrades, patching, and lifecycle activities.
• Build and manage network security infrastructure using DevOps practices and automation tools to reduce manual intervention.
• Support security operations including monitoring, analysis, incident response, and vulnerability management.
• Evaluate security advisories/vulnerabilities and provide timely recommendations and mitigations.
• Participate in ad-hoc vulnerability assessments and incident response efforts.
• Coordinate with stakeholders across Cybersecurity, Projects, and internal customers to deliver secure network solutions.
• Develop and maintain operational processes, runbooks, and documentation for ongoing support.
• Participate in a global "follow-the-sun" on‑call support rotation.

• Minimum 3 years of hands‑on experience in network security.
• Experience with network security platforms: Cisco ASA (CSM), FTD (FMC), FortiGate (FortiManager), Juniper SRX (Junos Space).
• Strong understanding of networking fundamentals: TCP/IP, OSI model, routing/switching, ACLs, NAT, DNS.
• Familiarity with security technologies: firewalls, VPNs, IDS/IPS, encryption, authentication, vulnerability management, and incident response.

• Deep knowledge of TCP/IP and Internet technologies, IPS/IDS, firewall virtualization, VPNs, NAT, DNS.
• Automation & DevOps: GitHub, Terraform, Ansible, Python, REST APIs, Jenkins, Jinja2, YAML (experience with CI/CD concepts and tools is a plus).
• Cloud: Experience with AWS and Azure network security services and connectivity.
• Relevant certifications preferred but not required: Cisco (CCNA/CCNP Security), Fortinet (FCA/FCSS/NSE), CISSP, GIAC.

• Excellent verbal and written communication in English.
• Self‑motivated, proactive, able to work independently in a global virtual team.
• Strong multitasking, prioritization, analytical mindset, and collaborative team orientation.

• Network security firewalls and appliances
• Automation (Infrastructure‑as‑Code, scripting, CI/CD)
• Cloud connectivity and network security (AWS & Azure)

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Machine Learning Technologies LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Machine Learning Technologies LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

MACHINE LEARNING TECHNOLOGIES LLC is looking for a Network Security DevOps Engineer in Spring, TX. The role involves designing and managing network security technologies, requiring at least 3 years of relevant experience, particularly with platforms like Cisco and Fortinet and proficiency in automation tools such as GitHub and Terraform.

The ideal candidate will excel in a global virtual team with strong multitasking and communication skills. This role supports a 9-month project with opportunities for extension, offering an hourly rate based on experience.

Job Overview

Job ID: J52125

Job Title: Cloud Network Security Engineer

Location: Bellevue, WA

Duration: 13 Months + Extension

Hourly Rate: Depending on Experience (DOE)

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD

Client: To Be Discussed Later

Employment Type: W-2, 1099, C2C

• IaC Security Scanning & Hardening:
  • Integrate IaC security scanning tools (e.g., Checkov, TFSec, Snyk IaC, Terraform Validator) into CI/CD pipelines.
  • Analyze and remediate findings from IaC scans (Terraform, CloudFormation, ARM templates).
  • Develop custom policies for IaC scanning tools based on organizational security standards.
• Firewall Implementation & Tuning:
  • Design and implement native firewall rules across cloud platforms (AWS, Azure, GCP).
  • Perform rule optimization, consolidation, and risk-based tuning to reduce attack surfaces.
  • Conduct regular reviews and audits of firewall configurations and access controls.
• Risk Management & Compliance:
  • Align firewall and IaC security policies with industry standards (NIST, CIS, ISO 27001).
  • Support internal and external audits by providing documentation and evidence of controls.

• 7+ years of experience in cloud security, network security, or DevSecOps.
• Hands‑on experience with Terraform, CloudFormation, or other IaC tools.
• Deep understanding of cloud-native firewall services (AWS, Azure, GCP).
• Proficiency in security tools: Checkov, Prisma Cloud, Aqua, Snyk, etc.
• Certifications preferred: AWS/Azure/GCP Security Specialty, CISSP, CCSP, Terraform Associate.
• Proficiency in automation using PowerShell, Bash, and Python.

Machine Learning Technologies LLC is an equal opportunity employer inclusive of female, minority, disability, and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination, and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. Machine Learning Technologies LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will Machine Learning Technologies LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

Job Details

• Job ID: J52249
• Job Title: Google Cloud Platform Cloud Integration Engineer
• Location: Dallas, TX
• Duration: 24 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

• Implement UIL using Cloud Run and GKE hybrid deployment models for scalable, event‑driven integration.
• Implement event‑driven workflows leveraging Pub/Sub, Cloud Functions, and containerized microservices.
• Establish and enforce API standards, error‑handling conventions, and integration patterns across distributed systems.
• Implement and maintain observability pipelines with Cloud Logging, BigQuery, and Cloud Monitoring for auditability and performance analytics.
• Build and optimize DR and cost‑efficient architectures across multiple regions using Terraform and Cloud Deploy.
• Continuously evaluate and improve system reliability, scalability, and performance.

• 7–10+ years in backend/integration development or cloud engineering.
• Deep expertise in Google Cloud Platform, especially:
• Cloud Run
• GKE
• Pub/Sub
• BigQuery
• Cloud Logging
• Cloud Storage
• IAM
• Secret Manager
• Cloud Build/Deploy
• Strong background in distributed systems, API design, and message‑driven architectures.
• Proficiency in Python, Node.js, or Java.
• Familiarity with warehouse and ERP integration patterns (e.g., order orchestration, ASN, inventory sync).

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. MACHINE LEARNING TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will MACHINE LEARNING TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.

MACHINE LEARNING TECHNOLOGIES LLC in Natick, MA seeks an Azure Cloud Architect to lead the transformation of monolithic applications into a scalable microservices platform. The role includes containerized solutions with AKS and managing Java/Spring Boot services.

You will coordinate with cloud and integration teams, design API management with Azure, and enable event-driven integration with Kafka or Event Grid while delivering secure, scalable cloud solutions.

Job Overview

Azure Cloud Architect – Java (Job ID: J52400). Location: Natick, MA. Duration: 24 months with the possibility of extension. Employment type: W-2, 1099, or C2C. Hourly rate: DOE. Work authorization required: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD. Client: To be discussed later.

• Lead re-architecting of monolithic applications into micro‑services architecture.
• Design and implement containerized solutions using Docker and Azure Kubernetes Service (AKS).
• Develop and manage micro‑services using Java and Spring Boot.
• Collaborate with cloud and integration teams to design API management using Azure API Management.
• Implement integration solutions using Kafka or Azure Event Grid.
• Leverage database systems, serverless computing, and Azure DevOps pipelines to deliver secure, scalable cloud solutions.

• 15+ years of IT experience, including 5‑7 years of architecting cloud solutions on Azure.
• Solid experience as a Technical Architect, leading re‑architecture projects.
• Strong knowledge of micro‑services patterns, principles, and best practices.
• Proficiency in containerization with Docker and orchestration with Kubernetes.
• Hands‑on experience with Azure cloud platform: AKS, API Management, DevOps, and related services.
• Proficient in Java development with Spring Boot framework.
• Strong understanding of J2EE technologies and frameworks.
• Experience with database systems, serverless computing, and modernizing brown‑field solutions.

MACHINE LEARNING TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans. Hiring, promotion, compensation, and other employment decisions are made without regard to any protected status and comply with applicable laws. (M/F/D/V).