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Mlops Data Engineer Jobs in Alabama (NOW HIRING)

SOSi

Senior Data Scientist

Huntsville, AL · On-site

... 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 ...

CSAA

You will partner with Data Engineering, Data Science, Architecture, Infrastructure, Security, and ... MLOps, Automation & Observability * Design and implement automation, monitoring, observability, and ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-time Shift: Day Job ... Master's degree in AI, Data Science, or a related field. * Experience with MLOps pipelines and CI ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Engineering and Sciences Subcategory: Machine Learning Engineer Schedule: Full-time Shift: Day Job ... Master's degree in AI, Data Science, or a related field. * Experience with MLOps pipelines and CI ...

Decisive Intelligence Inc

AI Engineer

Huntsville, AL · On-site

Engineering and Sciences Subcategory:Machine Learning Engineer Schedule:Full-time Shift:Day Job ... Master's degree in AI, Data Science, or a related field. * Experience with MLOps pipelinesand CI/CD.

Genesys

... and MLOps practices. * Experience working with financial data and compliance-aware modeling ... Strong software engineering foundation, including API development, containerization (Docker ...

SOSi

Senior Software Developer

Huntsville, AL

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Design, implement, and manage scalable MLOps pipelines and infrastructure. * Develop and manage ...

SOSi

Senior Software Developer

Huntsville, AL · On-site

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Design, implement, and manage scalable MLOps pipelines and infrastructure. * Develop and manage ...

SOSi

Senior Software Developer

Huntsville, AL

$53.75 - $71/hr

Its capabilities include data science, software development, network engineering, intelligence ... Design, implement, and manage scalable MLOps pipelines and infrastructure. * Develop and manage ...

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Mlops Data Engineer information

What is an MLOps data engineer?

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 are the key skills and qualifications needed to thrive as an MLOps data engineer?

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 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 Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

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

Senior Data Scientist

SOSi

Huntsville, AL • On-site

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
SOSi is seeking a highly skilled Data Scientist 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.
The ideal candidate will have a background in AI/ML model development and have experience in Python programming, handling SQL databases, and working in command line interfaces. You will leverage scientific techniques to transform petabyte-scale data into insightful data products to enable data-driven decisions. 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 Docker, Python, Jupyter Notebooks, PostgreSQL, and other tools.
  • Leverage GitOps patterns and CI/CD with tools like GitLab and GitHub.

Essential Job Duties
  • Develop and deploy data science solutions leveraging Python or similar languages.
  • Utilize Linux for development of data processing and model deployment.
  • Collaborate with data engineers to improve data colleciton, quality, and access.
  • Prioritize tasks efficiently and adapt solutions to meet project requirements.
  • Document processes and outcomes for transparency and future reference.
  • Write clean, testable, maintainable code in Python and other languages.

Qualifications
  • Active TS/SCI.
  • Degree in Computer Science, Statistics, Mathematics, Physics or other quantitative field.
  • A minimum of four (4) years of experience as a Data Scientist/Engineer or advanced analytical role
  • Programming knowledge in Python or similar language.
  • Experience working with SQL and NoSQL databases.
  • Experience with both Linux and Windows operating systems.
  • Knowledge of CI/CD and Agile methodologies.
  • Understanding of software design and system integration.

Additional Information
Work Environment
  • Office setting with a combination of desk work and meetings.

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

Apply