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Mlops Data Engineer Jobs in Alabama (NOW HIRING)

SOSi

Data Engineer

Redstone Arsenal, AL

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government ...

SOSi

Data Engineer

Redstone Arsenal, AL · On-site

$116K - $140K/yr

Overview SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government ...

SOSi

Data Engineer- SME

Huntsville, AL · On-site

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

SOSi

Data Engineer- SME

Huntsville, AL · On-site

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

SOSi

Data Engineer- SME

Huntsville, AL

$112K - $135K/yr

Overview SOSi is seeking an expert Data Engineer to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100 ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Trideum Corporation

Senior Cloud Data Engineer

Huntsville, AL · On-site

$58 - $77.50/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100 ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Trideum

Senior Cloud Data Engineer

Redstone Arsenal, AL · On-site

$57 - $76/hr

Senior Cloud Data Engineer Full-time Redstone Arsenal, AL About Us Trideum Corporation is a 100 ... Experience with machine learning operations (MLOps) and AI/ML pipeline development. * Advanced ...

Vultus Inc

Senior Data Scientist

Birmingham, AL · On-site +1

$130K - $170K/yr

Collaborate with product managers, business analysts, and engineering teams. * Validate model ... MLOps * Docker * Kubernetes * Airflow * Snowflake * Databricks * CI/CD Required Qualifications

SOSi

Data Scientist

Redstone Arsenal, AL · Hybrid

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ...

SOSi

Data Scientist

Huntsville, AL · On-site

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ...

SOSi

Senior Data Scientist

Huntsville, AL

... MLOps workload leveraging cutting-edge technologies and supporting a government customer in ... Collaborate with data engineers to improve data colleciton, quality, and access. * Prioritize tasks ...

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Mlops Data Engineer information

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI 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 as organizations prioritize operationalizing AI solutions.

What are the key skills and qualifications needed to thrive as an MLOps Data Engineer, and why are they important?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps Data Engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What are MLOps Data Engineers?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of data engineer in MLOps?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with skills in cloud platforms, automation, and machine learning tools tend to earn higher salaries.

What engineer makes 500,000 a year?

Highly experienced senior MLOps Data Engineers with specialized skills in cloud platforms, automation, and large-scale data processing can earn salaries approaching or exceeding $500,000 annually, especially in competitive tech hubs or large organizations. Such roles often require advanced certifications, extensive experience, and expertise in tools like Kubernetes, Docker, and cloud services like AWS or Azure.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer’s ability to support scalable and reliable ML systems.
What are popular job titles related to Mlops Data Engineer jobs in Alabama? For Mlops Data Engineer jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Mlops Data Engineer jobs in Alabama look for? The top searched job categories for Mlops Data Engineer jobs in Alabama are:
What cities in Alabama are hiring for Mlops Data Engineer jobs? Cities in Alabama with the most Mlops Data Engineer job openings:
Mlops Data Engineer jobs near you

Data Engineer

SOSi

Redstone Arsenal, AL

$116K - $140K/yr

Full-time

Re-posted 16 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

Overview

SOS International LLC (SOSi) is seeking Data Engineers to join our analytics team working on an innovative MLOps workload leveraging cutting-edge technologies and supporting a government customer in Huntsville, Alabama. This role will be responsible for delivering automation to key national security missions interacting with petabyte-scale data on supercomputing resources.

In this role, you will construct data analytical infrastructure, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. You will partner with Data Scientists to refactor manual workflows to produce highly automated MLOPs based workloads. You will perform using scrumban techniques and be embedded with end users.

The team will work with technologies including:

  • Open source, Commercial, and Government software packages such as Kafka, Beam, NumPy, Kubeflow, Nvidia Triton, PyTorch, TensorFlow, Weaviate, Neo4j, Grafana, etc.
  • Cloud native techniques and containerization with Docker
  • Infrastructure as Code with Terraform
  • Configuration as Code with OPA
  • Observability with tools like EFK and LOKI + OTel
  • Leverage GitOps patterns and CI/CD with tools like GitLab, Argo, and Harness
  • Perform SAST/DAST security with tools like SonarQube
  • Perform Kubernetes and K3s orchestration with tools like Rancher and Konvoy

SOSi is seeking data talent to unlock insights from massive datasets supporting strategic national security objectives. If you have a passion for data science and want to apply your skills to impactful projects at scale, we want to hear from you!

Essential Job Duties

  • Build and maintain data pipelines, ETL processes, and storage systems
  • Develop services and extend infrastructure to enable machine learning workflows
  • Integrate software components into functional data systems
  • Write clean, testable, maintainable code in Python and other languages
  • Implement CI/CD pipelines and DevSecOps best practices
  • Create technical documentation for software systems
  • Collaborate across teams to share knowledge and leading practices
Qualifications

Minimum Requirements

  • Top Secret Security Clearance
  • Experience in data engineering and/or software development
  • Expertise with Python, GIT, YAML, Docker, and SQL
  • Knowledge of CI/CD, DevSecOps, and Agile methodologies
  • Experience developing back-end systems and services
  • Understanding of software design and system integration

Preferred Qualifications

  • Top Secret Security Clearance with SCI eligibility
  • Experience as a Site Reliability Engineer (SRE)
  • Experience with AIOps and FinOps
  • Experience with Petabyte scale data sets
  • Experience with large-scale, multi-INT analytics
  • BS or MS in Computer Science, Statistics, Mathematics, Physics or a quantitative field.
Additional Information

Work Environment

  • Working conditions are normal for an office environment.
  • Fast paced, deadline-oriented environment.
  • May require periods of non-traditional working hours including consecutive nights or weekends (if applicable).

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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