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Contract Google Machine Learning Engineer Jobs in Alabama

Machine Learning Engineer Schedule: Full-time Shift: Day Job Travel: Yes, 10 % of the Time Minimum ... Six (6) years' related experience can be considered in lieu of degree (per contract vehicle)

Machine Learning Engineer Schedule:Full-time Shift:Day Job Travel:Yes, 10 % of the Time Minimum ... Six (6) years' related experience can be considered in lieu of degree (per contract vehicle)

AI/ML Engineer

Huntsville, AL · On-site

$89K - $157K/yr

As an A/AI Machine Learning Engineer, you will: • Engage with technical users to identify opportunities to drive use cases for AI/ML • Create innovative solutions to complex analysis requirements ...

Design, develop, and deploy machine learning models to support mission-critical objectives ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

Design, develop, and deploy machine learning models to support mission-critical objectives ... No Position Contingent Upon Award of Contract : No #LI-DK1 Benefits: Torch Technologies is proud to ...

Jr. Software Developer

Huntsville, AL · On-site

$62K - $81K/yr

Stay current with emerging AI, machine learning, and data visualization technologies, applying them ... Experience with cloud platforms (AWS, Azure, or Google Cloud) and containerized applications is a ...

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Contract Google Machine Learning Engineer information

What are the most commonly searched types of Google Machine Learning Engineer jobs in Alabama? The most popular types of Google Machine Learning Engineer jobs in Alabama are:
What cities in Alabama are hiring for Contract Google Machine Learning Engineer jobs? Cities in Alabama with the most Contract Google Machine Learning Engineer job openings:
Mid-Level AI / Machine Learning Software Engineer

Mid-Level AI / Machine Learning Software Engineer

Modern Technology Solutions, Inc.

Huntsville, AL • On-site

$112K - $135K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We are seeking a Mid-Level AI / Machine Learning Software Engineer to support development of scalable data analysis and machine learning capabilities across large datasets and real-time data streams. The role focuses on designing, implementing, and optimizing machine learning models and data pipelines using Python and modern deep learning frameworks.
The ideal candidate has strong programming fundamentals, hands-on model development experience, and is comfortable working with large structured and unstructured datasets in production environments.
Primary Responsibilities
  • Design, develop, and maintain Python-based data processing and analytics solutions
  • Implement and optimize machine learning and deep learning models
  • Work with large datasets and streaming data sources
  • Develop reusable data structures and efficient algorithms for analysis workflows
  • Build and evaluate models for classification, prediction, and pattern recognition
  • Integrate AI/ML capabilities into software systems and pipelines
  • Collaborate with software engineers, data engineers, and analysts to deploy solutions
  • Perform model validation, performance tuning, and debugging
  • Document architecture, implementation, and usage of developed tools

Required Qualifications
  • 3+ years of professional software development experience
  • Strong Python development skills
  • Experience working with large datasets and/or streaming data
  • Proficiency in machine learning and deep learning frameworks:
  • PyTorch
  • TensorFlow
  • Keras
  • Hugging Face Transformers
  • Understanding of machine learning concepts and model architectures, including:
  • Decision Trees / Random Forests
  • LSTM / sequence models
  • Experience implementing, training, and evaluating ML models
  • Knowledge of data structures, algorithms, and performance optimization
  • Familiarity with version control (Git) and collaborative development workflows

Desired / Preferred Qualifications
  • Experience with Retrieval-Augmented Generation (RAG)
  • Experience with Model Context Protocols (MCP) or similar agent/tool interaction frameworks
  • Experience with GPU acceleration and CUDA architecture
  • Drivers, runtime, and APIs
  • Experience with deep learning and reinforcement learning libraries
  • Experience building or consuming real-time data pipelines
  • Data visualization and exploratory analysis (Matplotlib, Seaborn, Plotly, etc.)
  • Familiarity with model deployment and inference optimization
  • Experience working in containerized or distributed environments

Education
  • Bachelor's degree (or working toward a degree) in Computer Science, Data Science, Engineering, Mathematics, or related field
  • (Equivalent practical experience considered)

Nice-to-Know Technologies
  • Linux development environments
  • Jupyter notebooks
  • Docker or container basics
  • Basic command line usage

#LI-AS1