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Mlops Machine Learning Engineer Jobs in New Mexico

JCS Solutions LLC

$103K - $155K/yr

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and ...

JCS Solutions LLC

Senior AI OPS Engineer

Albuquerque, NM · On-site

$101K - $139K/yr

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and ...

Leidos

AIOps Engineer SME

Albuquerque, NM · On-site

$80K - $106K/yr

You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and ... Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and ...

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Mlops Machine Learning Engineer information

What does an MLOps machine learning engineer do?

An MLOps Machine Learning Engineer bridges the gap between data science and IT operations by developing, deploying, and maintaining machine learning models in production environments. They are responsible for automating workflows, managing model versioning, monitoring performance, and ensuring scalability and reliability of ML systems. Their work enables organizations to deploy machine learning solutions efficiently and consistently, making it easier to update and manage models as business needs evolve.

What are the key skills and qualifications needed to thrive as an MLOps machine learning engineer?

To thrive as an MLOps Machine Learning Engineer, you need a strong background in machine learning concepts, software engineering, and cloud infrastructure, typically supported by a degree in computer science or a related field. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (AWS, GCP, Azure), and certifications such as Google Professional Machine Learning Engineer are highly beneficial. Strong problem-solving abilities, collaboration, and communication skills help you work effectively across data science and engineering teams. These skills are essential for reliably deploying, monitoring, and maintaining scalable machine learning solutions in production environments.

How does an MLOps machine learning engineer typically collaborate with data scientists and software engineers during the deployment of machine learning models?

An MLOps Machine Learning Engineer acts as a bridge between data scientists and software engineers, ensuring machine learning models transition smoothly from development to production. They often work closely with data scientists to understand model requirements, data pipelines, and performance metrics, while also collaborating with software engineers to integrate models into scalable systems. Regular communication, shared documentation, and joint troubleshooting sessions are common, as the role requires aligning model performance with system reliability and maintainability. This collaborative environment helps ensure that models are robust, scalable, and impactful in real-world applications.

What is the difference between Mlops Machine Learning Engineer vs Data Scientist?

AspectMlops Machine Learning EngineerData Scientist
Required CredentialsBachelor's or master's in CS, data science, or related fields; certifications in cloud platforms or MLOps toolsBachelor's or master's in statistics, data science, or related fields; certifications in data analysis or machine learning
Work EnvironmentFocus on deploying, maintaining, and scaling ML models in production environmentsFocus on data analysis, model development, and insights generation
Employer & Industry UsageTech companies, startups, enterprises implementing ML solutionsResearch institutions, analytics firms, tech companies for data insights

While both roles involve machine learning, Mlops Machine Learning Engineers specialize in deploying and maintaining models in production, ensuring scalability and reliability. Data Scientists primarily focus on developing models and analyzing data to generate insights. The roles often overlap but differ in their core responsibilities and work environments.

Are MLOps machine learning engineers in demand?

MLOps machine learning engineers are in high demand due to the increasing adoption of AI and machine learning across industries. They are needed to develop, deploy, and maintain scalable ML systems, often requiring skills in cloud platforms, automation, and tools like Docker and Kubernetes. The role offers strong job growth prospects and competitive salaries.

Do MLOps Machine Learning Engineers need a degree?

MLOps Machine Learning Engineers typically do not require a formal degree but often have a background in computer science, data science, or related fields. Practical skills in machine learning, cloud platforms, and tools like Docker, Kubernetes, and CI/CD pipelines are highly valued. Certifications and hands-on experience can also enhance job prospects.

What are popular job titles related to Mlops Machine Learning Engineer jobs in New Mexico?

For Mlops Machine Learning Engineer jobs in New Mexico, the most frequently searched job titles are:

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The top searched job categories for Mlops Machine Learning Engineer jobs in New Mexico are:

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Cities in New Mexico with the most Mlops Machine Learning Engineer job openings:

Mlops Machine Learning Engineer jobs near you

Senior AI OPS Engineer

JCS Solutions LLC

On-site

$103K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Grow, innovate, and generate progress: Harness your expertise to solve challenges and celebrate success! 
Job Summary:
JCS Solutions LLC is seeking a Senior AIOps Engineer to support critical mission operations within a secure environment and lead the transformation of our IT Service Management (ITSM) capabilities. This role is responsible for the design, deployment, and management of AIOps solutions that enhance the reliability and security of Department of War (DoW) networks and systems.

Acting as the technical lead for this initiative, you will orchestrate integrations across existing Network Engineering, ServiceNow, and SolarWinds teams. You will utilize Splunk and the Machine Learning Toolkit (MLTK) to provide descriptive and predictive analytics and establish closed-loop automated incident response, ensuring the high availability of mission-essential infrastructure.
What’s in it for you: 

  • Join a premier technology firm specializing in innovative solutions.  
  • Be part of a collaborative, inclusive, and innovative work culture.  
  • Enjoy tremendous growth potential in a high-performing team environment.  
  • A robust benefits package: 
    • Health, dental, and vision insurance  
    • Life insurance  
    • Short-and-long term disability  
    • Paid time off (PTO)  
    • 401k retirement plan with employer match 
    • Annual Professional Development Reimbursement Program  
    • And more! 
What you will do:
  • Cross-Functional Leadership: Lead the AIOps platform initiative by acting as the primary technical liaison to existing Network Engineering, ServiceNow, and SolarWinds administration teams to establish unified telemetry pipelines.
  • ITSM Orchestration & Automation: Architect closed-loop remediation workflows by deeply integrating Splunk ITSI alerts with ServiceNow Event Management and Incident Management modules.
  • Mission-Critical Observability: Architect and maintain Splunk AIOps solutions across unclassified and classified enclaves to provide real-time situational awareness.
  • Infrastructure Telemetry Integration: Normalize and correlate network performance and fault data from SolarWinds with server and application logs to provide a holistic view of enterprise health.
  • Advanced ML Development: Deploy custom machine learning models via Splunk MLTK to identify anomalous behavior, potential cyber threats, and infrastructure degradations.
  • Secure Data Integration: Engineer secure data ingestion pipelines for telemetry data from cross-domain solutions and tactical edge devices.
  • Incident Reduction: Utilize IT Service Intelligence (ITSI) to correlate multi-source events, reducing noise and prioritizing high-impact mission alerts.
  • Cyber Defense Support: Collaborate with the Cyber Security Service Provider (CSSP) to integrate AIOps insights into defensive cyber operations (DCO).
  • Compliance & Documentation: Ensure all observability tools comply with DoW STIGs and IL5/IL6 protocols; develop and maintain architectural documentation and compliance traceability.
  • Mission Alignment: Stay current on AIOps and related capabilities relevant to DoD, federal, and intelligence mission systems.
What you will bring:
  • Security Clearance: Active Top Secret / Sensitive Compartmented Information (TS/SCI) required at time of hire.
  • Certification: Active IAT Level II certification (e.g., Security+ CE, CySA+, GSEC, or SSCP) required.
  • Citizenship: United States Citizenship is required.
  • Platform Experience: 7+ years of experience with Splunk Enterprise, including architectural design, cluster management, and advanced Search Processing Language (SPL).
  • AIOps & ITSM: 3+ years of experience implementing AIOps workflows, including integration with enterprise ITSM solutions (ServiceNow) for automated root cause analysis and remediation.
  • Machine Learning: Proven track record of building, testing, and tuning supervised and unsupervised models within the Splunk MLTK.
  • Scripting & Automation: Advanced scripting skills for developing custom search commands, API integrations, and automating remediation tasks (e.g., Python).
  • Leadership: Experience leading technical working groups and directing the efforts of adjacent infrastructure and development teams.
  • Operational Experience: Prior experience working within a DoW/DoD Operations Center (NOC/SOC) or supporting mission-critical systems and networks.
  • Communication: Must be able to present designs, plans, and analyses of alternatives to technical leadership boards for approvals.
How you will wow us:
  • Enterprise Aggregation: Experience aggregating and correlating telemetry from diverse tools, specifically SolarWinds, ServiceNow, and VMware vCenter.
  • Expert Certification: Splunk Enterprise Certified Architect or Splunk ITSI Certified Admin.
  • Cloud Observability: Experience with Cloud Native Computing Foundation (CNCF) observability tools in secure hybrid multi-cloud environments (Azure/AWS).
  • RMF/ATO Knowledge: Understanding of the Risk Management Framework (RMF) and the Authorization to Operate (ATO) process for AI/ML workloads.
JCS Solutions (JCS) is a premier technology firm providing innovative solutions and high-quality services in defense, national security, and civilian sectors. JCS offers enterprise-wide solutions including cloud computing, software development, cybersecurity, digital modernization, and management consulting for the federal government. At JCS, we elevate our customers’ mission through the application of technology and professional services. Our commitment to investing in our workforce drives innovation and progress for our clients, employees, and communities. 
JCS is both a Great Place to Work and a Top Places to Work certified company.
 
Our employees embody our core values, and we are looking for others who do too!
  • Customer Experience: Strive for excellence and delight our clients
  • Innovation: Embrace creative thinking to enable continual growth and powerful solutions
  • Accountability: Take ownership of and pride in our actions and service delivery
  • Inspire: Be inspired to be your best self and have fun in the process
  • Integrity: Do the right thing, the right way, every time!
  • Stewardship: The careful and responsible management of something entrusted to our care.
At JCS Solutions, compensation is based on a number of factors such as location, qualifications, and applicable contract terms. The general salary range for this position is as follows: $103,000.00 - $155,000.00.
Commitment to non-discrimination: All qualified applicants will receive consideration for employment without regard to any status protected by applicable federal, state, or local laws.
 

NOTICE: Please be aware that all JCS Solutions communications related to job interviews and offers from our recruiting team will only come from @JCSSolutions.com. We want to emphasize that we do not conduct any interviews over Discord, Slack, Skype, Zoom, or any chat app.

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