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Mlops Data Engineer Jobs in Missouri (NOW HIRING)

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Experience with MLOps and MLOps tool stack such as ClearML or MLFlow * Experience working in cloud ...

Senior Data Engineer

Hazelwood, MO

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Experience with MLOps and MLOps tool stack such as ClearML or MLFlow * Experience working in cloud ...

Senior Data Engineer

Hazelwood, MO · On-site

$100K - $135K/yr

Senior Data Engineer Company: The Boeing Company Boeing Defense, Space & Security (BDS) is hiring a ... Experience with MLOps and MLOps tool stack such as ClearML or MLFlow * Experience working in cloud ...

$95K - $131K/yr

Collaborate with Data Scientists and Engineers across the full ML lifecycle, including building and scaling ETL pipelines, deploying models into customer-facing applications, and enabling efficient ...

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... MLOps). "Armanino" is the brand name under which Armanino LLP and Armanino Advisory LLC ...

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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 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 machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

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 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 is the salary of MLOps Data Engineer?

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 advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What job categories do people searching Mlops Data Engineer jobs in Missouri look for? The top searched job categories for Mlops Data Engineer jobs in Missouri are:
What cities in Missouri are hiring for Mlops Data Engineer jobs? Cities in Missouri with the most Mlops Data Engineer job openings:

Senior Data Engineer

Boeing

Hazelwood, MO

$100K - $135K/yr

Full-time

Medical, Life, Retirement

Posted 13 days ago


Boeing rating

8.5

Company rating: 8.5 out of 10

Based on 612 frontline employees who took The Breakroom Quiz

33rd of 538 rated manufacturers


Job description

Senior Data Engineer

Company:

The Boeing Company

Boeing Defense, Space & Security (BDS) is hiring a Senior Data Engineer for a Proprietary Program in Saint Louis, MO. We seek passionate, curious, and talented data scientists who want their job to have real-world impacts by solving complex, challenging, and meaningful data science problems. As an experienced/lead data scientist, you will play a crucial role in designing and leveraging digital data solutions in a distributed data system to maximize production and weapon system operational effectiveness. This position is onsite. The selected candidate will be required to perform work onsite at St Louis campus.

Position Responsibilities:

  • Collaborate with cross-functional teams to identify and define data requirements, data collection methods, and data quality standards.

  • Build systems that enable conducting data analysis and exploration to identify patterns, trends, and insights that drive decision-making

  • Provide technical leadership to team of data scientists

  • Implement and deploy machine learning models, working closely with software engineering teams to integrate into customer environments.

  • Collaborate with subject matter experts to understand engineering domain knowledge and incorporate it into data analysis and modeling efforts.

  • Continuously evaluate and improve existing models and algorithms to enhance their accuracy, efficiency, and scalability.

  • Ensure data security, privacy, and compliance with relevant regulations and policies throughout the data analysis lifecycle.

  • Stay up-to-date with the latest advancements in data science, machine learning, and aerospace technologies to drive innovation and maintain a competitive edge.

  • Communicate findings, insights, and recommendations to technical and non-technical stakeholders through clear and concise reports, presentations, and visualizations.

  • Mentor and provide guidance to junior data scientists

  • Contribute to the development of best practices and standards for data science within the organization.

This position is expected to be 100% onsite. The selected candidate will be required to work onsite at Hazelwood, MO.

Travel may be required up to 10% of the time; Domestically depending on business needs.

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active).

Basic Qualifications (Required Skills/Experience):

  • Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement

  • 9 years of professional experience in data science, artificial intelligence, or machine learning

  • Programming experience in one or more of the following: Python, Julia, R, C, C++, C#, Java.

  • Experience leading technical teams or projects

Preferred Qualifications (Desired Skills/Experience):

  • Advanced degree (Master's or Doctorate) in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statemen

  • 3+ years of experience in natural language processing

  • 3+ years of experience in SQL or NoSQL Database Languages

  • Proficient with data visualization tools

  • Proficient in deep learning frameworks such as PyTorch and TensorFlow

  • Experience with generative AI models, including LLMs, for building knowledge-driven solutions.

  • Experience integrating models into customer environments, both on-prem and in cloud environments

  • Experience working in an agile software development team

  • Experience with MLOps and MLOps tool stack such as ClearML or MLFlow

  • Experience working in cloud computing environments such as Azure and AWS

Conflict of Interest:

Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process.

Drug Free Workplace:

Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies.

Total Rewards:

At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent.Elements of the Total Rewards package include competitive base pay and variable compensation opportunities.

The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work.

The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

Pay is based upon candidate experience and qualifications, as well as market and business considerations.

The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features:

  • Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting

  • Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts.

Summary pay range: $142,800 - $193,200

Language Requirements:

Not Applicable

Education:

Bachelor's Degree or Equivalent

Relocation:

This position offers relocation based on candidate eligibility.

Export Control Requirement:

This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee.

Safety Sensitive:

This is not a Safety Sensitive Position.

Security Clearance:

This position requires an active U.S. Secret Security Clearance (U.S. Citizenship Required). (A U.S. Security Clearance that has been active in the past 24 months is considered active)

Visa Sponsorship:

Employer will not sponsor applicants for employment visa status.

Contingent Upon Award Program

This position is not contingent upon program award

Shift:

Shift 1 (United States of America)

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Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.

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