ZipRecruiter

Log In

2

Remote Analytics Engineer Jobs in Baton Rouge, LA

DataAnnotation

Trust & Safety Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Responsibilities: * Evaluate AI-generated cybersecurity content -- including threat analysis ...

DataAnnotation

Red Team Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Responsibilities: * Evaluate AI-generated cybersecurity content -- including threat analysis ...

DataAnnotation

Cloud Security Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand ... Responsibilities: * Evaluate AI-generated cybersecurity content -- including threat analysis ...

DataAnnotation

Full Stack Engineer

Baton Rouge, LA · Remote

$40 - $75/hr

... analysis and visualization. Your work directly contributes to refining intelligent systems that ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

DataAnnotation

QA Engineer - AI Trainer

Baton Rouge, LA · Remote

$40 - $75/hr

... analysis and visualization. Your work directly contributes to refining intelligent systems that ... Benefits: * This is a full-time or part-time REMOTE position * You'll be able to choose which ...

next page

Showing results 1-20

People also search for

All JobsAnalytics Engineer JobsRemote Analytics Engineer JobsRemote Analytics Engineer Jobs in Baton Rouge, LA

Remote Analytics Engineer information

See Baton Rouge, LA salary details

$43.7K

$89.5K

$130.1K

How much do remote analytics engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for remote analytics engineer in Baton Rouge, LA is $89,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,200.00 and $113,300.00 per year, depending on experience, location, and employer.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.
More about Remote Analytics Engineer jobs
What are the most commonly searched types of Analytics Engineer jobs in Baton Rouge, LA? The most popular types of Analytics Engineer jobs in Baton Rouge, LA are:
What are popular job titles related to Remote Analytics Engineer jobs in Baton Rouge, LA? For Remote Analytics Engineer jobs in Baton Rouge, LA, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Baton Rouge, LA look for? The top searched job categories for Remote Analytics Engineer jobs in Baton Rouge, LA are:
What cities near Baton Rouge, LA are hiring for Remote Analytics Engineer jobs? Cities near Baton Rouge, LA with the most Remote Analytics Engineer job openings:
Remote Analytics Engineer jobs near you
AI/ML Engineer

AI/ML Engineer

Frontier Technology Inc.

Baton Rouge, LA • On-site, Remote

$140K - $220K/yr

Full-time

Posted 8 days ago

Job description

Overview
Frontier Technology Inc. (FTI) 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 delivers mission-focused solutions to the Department of Defense/Department 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 secruity 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.

For this role, the compensation range is $140k-$220k.
*Note: Starting pay will be based on a number of factors and commensurate with the candidate's residence location, qualifications & experience.
#LI-SB1
#LI-Remote

Apply