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Machine Learning Engineer Opt Jobs in Birmingham, AL

4pconsultinginc

Data Engineer III

Birmingham, AL · On-site

$107K - $128K/yr

Prepare data pipelines to enable machine learning workflows DevOps & Modern Engineering Practices * Implement CI/CD pipelines for data engineering deployments * Work within Agile development ...

Pwc

AI & GenAI Data Scientist - Manager

Birmingham, AL

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based ...

PNC Bank

Senior Data Engineer - AMG Tech

Birmingham, AL

$50K - $202K/yr

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Machine Learning (ML) Competencies Application Delivery Process, Big Data Management and Analytics ...

New

Deloitte

Software Product Architect

Birmingham, AL · On-site

Experience with machine learning operations, AgentOps, DevSecOps, site reliability engineering, Azure DevOps, GitHub, and SonarQube * Experience with continuous integration/continuous deployment and ...

Forhyre

Prompt Engineers

Montevallo, AL · On-site

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Familiarity with machine learning frameworks and libraries like TensorFlow, PyTorch, or Hugging ...

DataAnnotation

DevOps Engineer

Birmingham, AL · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Software Engineer

Birmingham, AL · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

PNC Bank

Data Engineer Assoc

Birmingham, AL · On-site +1

$91K - $202K/yr

PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position ... Data Science, Machine Learning (ML), Python (Programming Language) Competencies Application ...

DataAnnotation

Frontend Engineer

Birmingham, AL · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Mobile Software Engineer

Birmingham, AL · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

DataAnnotation

Backend Software Engineer

Birmingham, AL · Remote

$40 - $75/hr

As a DataAnnotation's coder, you'll be part of a growing community of over 100,000 professionals -- including front-end, back-end, full-stack, machine learning, and other engineers -- who are driving ...

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All JobsMachine Learning Engineer Opt JobsMachine Learning Engineer Opt Jobs in Birmingham, AL

Machine Learning Engineer Opt information

See Birmingham, AL salary details

$29.5K

$120.7K

$181.3K

How much do machine learning engineer opt jobs pay per year?

As of Jun 10, 2026, the average yearly pay for machine learning engineer opt in Birmingham, AL is $120,681.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,100.00 and $145,300.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models into production environments. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, reliable systems that organizations can use to make predictions or automate tasks. Their responsibilities include data preprocessing, choosing appropriate algorithms, model training, and ensuring the model's performance in real-world applications. Machine Learning Engineers often collaborate with data scientists, data engineers, and product teams to deliver intelligent solutions.

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

AspectMachine Learning Engineer OptData Scientist
Required CredentialsBachelor's or Master's in CS, AI, or related fields; certifications in ML toolsBachelor's or Master's in CS, Statistics, or related fields; data analysis certifications
Work EnvironmentDevelops, tests, and deploys ML models in production systemsAnalyzes data, builds models, and provides insights for decision-making
Employer & Industry UsageTech companies, AI startups, e-commerce, financeResearch institutions, tech firms, consulting, finance
Common Search & ComparisonOften compared for technical skills and deployment focusCompared for data analysis and business insights

Machine Learning Engineers Opt focus on deploying scalable ML models in production environments, while Data Scientists primarily analyze data and develop models for insights. Both roles require strong technical skills, but their core responsibilities differ in application and deployment.

Is a machine learning engineer still in demand?

Yes, machine learning engineers are in high demand due to the growing adoption of AI and data-driven solutions across industries. They are sought after for their skills in programming, data analysis, and familiarity with tools like Python, TensorFlow, and cloud platforms, making this a strong career choice for those with relevant expertise.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as AI advances because they develop and refine AI models, requiring specialized skills in programming, data analysis, and domain knowledge. Jobs that involve complex problem-solving, creativity, and emotional intelligence, such as healthcare professionals, educators, and skilled tradespeople, are also expected to persist despite AI automation. Continuous learning and adapting to new tools and technologies will be essential for job security across many fields.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer, and why are they important?

To thrive as a Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially Python), typically supported by a degree in computer science, engineering, or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch), data processing tools, and cloud platforms, along with relevant certifications, is highly valuable. Strong problem-solving ability, collaboration, and effective communication are standout soft skills in this role. These skills and qualities ensure the successful development, deployment, and integration of machine learning solutions that drive business value.

What is a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often in large tech companies or specialized firms. These positions usually require advanced skills in machine learning, deep learning, and data science, along with extensive experience and leadership responsibilities.

What are some common challenges Machine Learning Engineers face when deploying models to production environments?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, handling data drift, and integrating models seamlessly with existing systems when deploying to production. Monitoring model performance in real time and retraining models as new data becomes available are also critical tasks. Collaboration with data engineers and DevOps teams is essential to address infrastructure and deployment hurdles while maintaining model accuracy and reliability.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or tech, can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.
What are popular job titles related to Machine Learning Engineer Opt jobs in Birmingham, AL? For Machine Learning Engineer Opt jobs in Birmingham, AL, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer Opt jobs in Birmingham, AL look for? The top searched job categories for Machine Learning Engineer Opt jobs in Birmingham, AL are:
Machine Learning Engineer Opt jobs near you

Data Engineer III

4pconsultinginc

Birmingham, AL • On-site

$107K - $128K/yr

Contractor

Posted 3 days ago

Job description

Position: Data Engineer III

Location: 3535 Colonnade Parkway, Birmingham, AL 35243
Duration: 1 Year

Client: Southern Company Services.

Position Overview

The Data Engineer III is responsible for designing, building, and optimizing scalable data pipelines and analytics solutions across relational databases, NoSQL systems, and cloud-based data lake environments. This role focuses on transforming raw data into reliable, structured, and machine-readable formats that support enterprise analytics, AI/ML initiatives, and operational reporting.

The ideal candidate brings strong experience in SQL, big data frameworks, cloud platforms, and modern data engineering best practices.

Key Responsibilities

Data Engineering & Pipeline Development

  • Design, develop, test, deploy, and support scalable data pipelines
  • Create and maintain Databricks pipelines for multiple data sources
  • Develop batch and real-time data processing solutions
  • Normalize databases and design schemas aligned with application requirements
  • Combine and transform raw data into structured, analytics-ready datasets

Data Modeling & Architecture

  • Design and implement data models (star schema, snowflake, relational, NoSQL)
  • Implement data access strategies and storage optimization techniques
  • Develop functional and technical designs for data engineering solutions
  • Support diverse data source integration and enrichment

Big Data & Cloud Technologies

  • Develop solutions using Spark, Hive, Hadoop
  • Build and maintain solutions using Azure ecosystem tools:
    • Azure Data Lake
    • Azure Data Factory
    • Azure Databricks
    • Azure Synapse
    • Azure Key Vault
    • Power BI
  • Work with MSBI tools (SSIS, SSAS), Informatica, Oracle Golden Gate

AI/ML & Advanced Analytics Support

  • Support statistical models and AI/ML solutions using Python and/or R
  • Prepare data pipelines to enable machine learning workflows

DevOps & Modern Engineering Practices

  • Implement CI/CD pipelines for data engineering deployments
  • Work within Agile development environments
  • Utilize containerization tools (Docker, OpenShift)
  • Develop API and web service integrations for data sourcing and delivery

Data Quality & Governance

  • Implement and maintain data quality frameworks and tools
  • Ensure consistency, accuracy, and reliability of data assets

Required Qualifications

  • 5–10 years of hands-on data engineering experience
  • Advanced SQL expertise
  • Strong experience with Spark, Hive, Hadoop
  • Hands-on experience with Azure cloud data tools
  • Experience building Databricks pipelines
  • Experience with MSBI (SSIS/SSAS), Informatica, Oracle, SQL Server
  • Experience with batch and real-time data processing frameworks
  • Experience with data modeling and schema design
  • Experience working with APIs and web services

Preferred Qualifications

  • Experience supporting AI/ML workflows
  • Experience with containerization (Docker, OpenShift)
  • Strong background in DevOps and CI/CD practices
  • Experience working in enterprise-scale environments