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Remote Machine Learning Engineer New Grad Jobs in Alabama

Cloudera

$171K - $210K/yr

Data Engineering, Data Science or Machine Learning * Operations, Security and Data Governance ... Employee Resource Groups EEO/VEVRAA #LI-MH2 #LI-Remote

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Huntsville, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Huntsville, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

FirstBank

Senior Automation Developer

Birmingham, AL · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

Harris

... learning. This remote role welcomes candidates anywhere in the US. Preference will be given to ... Desire to learn new technologies and contribute across multiple areas of the product. What would ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise ... machine learning model operations within the operations and implementation branch. The engineer ...

PingWind

AI Solution Engineer- Ops

Huntsville, AL · On-site +1

$121K - $169K/yr

... days remote Position Description This position supports the Golden Dome Supply Chain Enterprise ... machine learning model operations within the operations and implementation branch. The engineer ...

Varsity Tutors

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

Varsity Tutors

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

... machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and ... Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West ...

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Remote Machine Learning Engineer New Grad information

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

To excel as a Remote Machine Learning Engineer New Grad, you need a solid grounding in computer science, statistics, and machine learning algorithms, typically supported by a relevant degree. Familiarity with programming languages like Python, machine learning libraries (e.g., TensorFlow, PyTorch), and experience using version control systems such as Git are essential. Strong problem-solving skills, effective communication, and the ability to work independently are standout soft skills for this remote role. These skills ensure you can develop robust ML models, collaborate efficiently with distributed teams, and deliver impactful solutions in a dynamic environment.

What does a Remote Machine Learning Engineer New Grad do?

A Remote Machine Learning Engineer New Grad is an entry-level professional who designs, builds, and deploys machine learning models while working from a remote location. Their responsibilities typically include preprocessing data, developing algorithms, and collaborating with other team members through digital tools. As a new graduate, they often focus on learning industry best practices, writing code, testing models, and updating existing systems. Strong programming skills, problem-solving ability, and communication are essential for success in this role.

What are some common challenges faced by new graduates starting as remote machine learning engineers, and how can they overcome them?

As a new graduate starting remotely as a machine learning engineer, one common challenge is effectively collaborating with team members and mentors when you can't interact in person. You may also face difficulties in accessing large datasets or compute resources, which can slow down experimentation. To overcome these challenges, it's important to communicate proactively using team channels, schedule regular check-ins with your mentor, and familiarize yourself with your company's remote infrastructure and support systems. Building a habit of documenting your work and asking for feedback early can also accelerate your learning and integration into the team.
What cities in Alabama are hiring for Remote Machine Learning Engineer New Grad jobs? Cities in Alabama with the most Remote Machine Learning Engineer New Grad job openings:
Remote Machine Learning Engineer New Grad jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Huntsville, AL • On-site, Remote

Full-time

Re-posted 27 days ago

Job description

Overview
FTI Defense is seeking a hands-on AI/ML Engineer to design, build, and deploy advanced machine learning solutions supporting defense and national security missions. This role focuses on execution in oversight, ideal for an engineer who thrives in the code, enjoys building end-to-end pipelines, and takes pride in seeing their work directly impact operational systems.
FTI Defense delivers mission-focused solutions to the Department of Defense/Depratment of War (DoD/DoW) and Intelligence Community (IC) through advanced engineering, digital transformation, and program execution expertise. We help our customers solve complex challenges and achieve mission success by integrating people, process, and technology.
Responsibilities
  • Design, develop, and deploy AI/ML models and pipelines that meet mission and performance objectives.
  • Build, train, and fine-tune models using frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, and LangChain.
  • Develop and operationalize MLOps pipelines (MLflow, Kubeflow, DVC, or custom training/inference orchestration).
  • Implement and optimize vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval architectures (RAG, graph, hybrid).
  • Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and inference services.
  • Experiment with fine-tuning and optimization of LLMs and task-specific models (LoRA, QLoRA, PEFT).
  • Contribute to agent-based applications using frameworks like LangGraph, AutoGen, CrewAI, or DSPy.
  • Integrate AI services into real-world systems via APIs, event-driven workflows, or UI copilots.
  • Collaborate with data engineers, software developers, and mission analysts to ensure AI models are production-ready and aligned with customer needs.
  • Participate in peer reviews, contribute to shared repositories, and document models and experiments for reproducibility.

Education/Qualifications
Minimum Requirements:
  • Must be a U.S. citizen and be willing to obtain and maintain a security clearance, as needed.
  • 6-10+ years of professional experience developing and deploying AI/ML solutions in production environments.
  • Minimum of 3 years' professional experience within the Department of Defense/Department of War (DoD/DoW) AI assurance, security, and deployment environments.
  • Strong Python development skills with hands-on experience building AI/ML solutions.
  • Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or LangChain.
  • Proven ability to build and deploy MLOps pipelines using MLflow, Kubeflow, DVC, or equivalent.
  • Working knowledge of vector databases (Milvus, Pinecone, Chroma, FAISS) and retrieval-based architectures (RAG, hybrid, graph).
  • Professional experience fine-tuning and evaluating LLMs or smaller task-specific models using LoRA, QLoRA, or PEFT.
  • Professional experience integrating AI capabilities into production systems or mission applications.

Preferred Qualifications:
  • Familiarity with agentic frameworks (LangGraph, AutoGen, CrewAI, DSPy) and multi-agent reasoning.
  • Understanding of prompt engineering, retrieval quality, and grounding methods.
  • Exposure to GPU-based or edge inference environments.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related technical field.
  • Active Secret clearance preferred; ability to obtain one is required.

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