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Linux Junior Jobs in Indiana (NOW HIRING)

Performacentric

ML Engineer

Indianapolis, IN · On-site +1

Mentor junior developers and share best practices. Required QualificationsTechnical Skills * 3+ ... Familiarity with Linux environments and command-line tools. * Experience troubleshooting and ...

AK Steel

$64.75 - $84.25/hr

Provide technical leadership and coaching to junior analysts and act as an escalation point for ... Experience with operating systems Unix/Linux (primarily SUSE) and Windows * Excellent problem ...

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Linux Junior information

What are some common challenges faced by Linux Junior professionals in their first year, and how can they overcome them?

Linux Junior professionals often encounter challenges such as troubleshooting unfamiliar system errors, adapting to different distributions, and learning to effectively use the command line. These situations can feel overwhelming at first, but actively seeking mentorship, utilizing online communities, and practicing hands-on tasks in a test environment can accelerate learning. Collaborating with more experienced team members and participating in code reviews also provide valuable feedback and support. Over time, building a habit of documenting solutions to recurring issues helps streamline future problem-solving.

What are Linux Junior roles?

Linux Junior roles are entry-level positions focused on supporting and maintaining Linux operating systems in various environments. Individuals in these roles assist with basic system administration tasks, such as user management, software installation, troubleshooting, and monitoring system performance. They typically work under the guidance of more experienced administrators, learning industry best practices and gaining hands-on experience. Linux Juniors are expected to have a foundational understanding of Linux commands, system architecture, and networking basics. These positions serve as a stepping stone to more advanced system administration or engineering roles.

What are the key skills and qualifications needed to thrive as a Linux Junior, and why are they important?

To thrive as a Linux Junior, you need a basic understanding of Linux operating systems, command-line proficiency, and foundational networking knowledge, often supported by a relevant degree or IT certifications. Familiarity with tools such as Bash, system monitoring utilities, and version control systems like Git is commonly required. Strong problem-solving skills, attention to detail, and a willingness to learn make candidates stand out in this position. These abilities are vital for efficiently supporting system operations, troubleshooting issues, and growing into more advanced Linux administration roles.

What is the difference between Linux Junior vs Linux Support Technician?

AspectLinux JuniorLinux Support Technician
Required CredentialsBasic Linux certifications (e.g., Linux Essentials)Linux certifications + troubleshooting skills
Work EnvironmentEntry-level, training-focusedCustomer or internal support, troubleshooting
Employer & Industry UsageIT companies, tech startups, educational institutionsIT support firms, enterprise IT departments
Common Search & Comparison IntentUnderstanding entry-level roles in LinuxClarifying support roles and responsibilities

The main difference between a Linux Junior and a Linux Support Technician lies in experience and scope. Linux Juniors are typically entry-level, focusing on basic Linux tasks and gaining foundational knowledge. Linux Support Technicians often have more troubleshooting experience and handle customer or internal support issues. Both roles are essential in IT environments, but Support Technicians usually require more advanced skills and certifications.

What are the most commonly searched types of Linux jobs in Indiana? The most popular types of Linux jobs in Indiana are:
What are popular job titles related to Linux Junior jobs in Indiana? For Linux Junior jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Linux Junior jobs in Indiana look for? The top searched job categories for Linux Junior jobs in Indiana are:
What cities in Indiana are hiring for Linux Junior jobs? Cities in Indiana with the most Linux Junior job openings:
Linux Junior jobs near you
Infographic showing various Linux Junior job openings in Indiana as of June 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, 1% Temporary, and 7% Contract. Highlights an 87% Physical, 6% Hybrid, and 7% Remote job distribution.

ML Engineer

Performacentric

Indianapolis, IN • On-site, Remote

Full-time

Posted 9 days ago

Job description

Machine Learning Engineer (Llama AI Platform)

Location: Remote (Preferred U.S. Time Zones)
Employment Type: Full-Time
Company: Performacentric

About Performacentric

Performacentric helps small and mid-market organizations improve profitability, efficiency, visibility, employee performance, customer satisfaction, and supplier performance through custom AI agents, intelligent automation, and connected business systems.

We are building a next-generation AI platform powered by open-source large language models, agentic workflows, and business process automation. We are seeking a Machine Learning Engineer to help design, deploy, and optimize AI solutions built on Llama models and modern Python-based application architectures.

Position Summary

Performacentric is seeking a Machine Learning Engineer with hands-on experience developing and deploying AI applications using Llama 3 8B, Python, and FastAPI. This role will be responsible for building production-grade AI services, optimizing model performance, developing APIs, integrating business systems, and supporting the evolution of Performacentric's AI agent platform.

The ideal candidate combines strong software engineering skills with practical machine learning experience and enjoys working in a fast-paced startup environment where they can directly influence product direction and technical architecture.

ResponsibilitiesAI Model Development & Optimization
  • Deploy, configure, and optimize Llama 3 8B models for production use.
  • Develop prompt engineering, retrieval, and agentic workflows.
  • Fine-tune and evaluate LLM performance for business use cases.
  • Implement Retrieval-Augmented Generation (RAG) architectures.
  • Optimize inference performance, latency, and infrastructure utilization.
  • Monitor model quality and continuously improve response accuracy.
Application Development
  • Build scalable AI applications using Python and FastAPI.
  • Design and maintain RESTful APIs for AI services.
  • Develop backend services supporting AI agents and copilots.
  • Integrate AI solutions with CRM, ERP, communication, and business systems.
  • Implement authentication, authorization, and API security controls.
  • Write clean, maintainable, and well-documented code.
Data & Infrastructure
  • Build and maintain vector database integrations.
  • Develop data ingestion and preprocessing pipelines.
  • Support deployment of AI workloads in cloud and self-hosted environments.
  • Collaborate on model serving, monitoring, logging, and observability.
  • Assist with infrastructure automation and CI/CD processes.
Collaboration
  • Work closely with product, engineering, and leadership teams.
  • Participate in architecture discussions and technical planning.
  • Contribute to AI solution design for client implementations.
  • Mentor junior developers and share best practices.
Required QualificationsTechnical Skills
  • 3+ years of professional software engineering experience.
  • Strong proficiency in Python.
  • Experience building APIs with FastAPI.
  • Experience deploying and working with Llama 3 8B or similar open-source LLMs.
  • Understanding of prompt engineering and LLM optimization techniques.
  • Experience consuming and developing REST APIs.
  • Strong understanding of Git-based development workflows.
  • Familiarity with Linux environments and command-line tools.
  • Experience troubleshooting and optimizing production applications.
Machine Learning Knowledge
  • Understanding of machine learning fundamentals.
  • Experience evaluating AI model performance.
  • Familiarity with embeddings, vector search, and RAG architectures.
  • Knowledge of model inference optimization techniques.
  • Experience working with structured and unstructured datasets.
Preferred Qualifications

Preference will be given to candidates with experience in one or more of the following:

  • Fine-tuning open-source LLMs.
  • ML Engineering and MLOps practices.
  • LangChain, LlamaIndex, Haystack, or similar frameworks.
  • PostgreSQL database administration and optimization.
  • Vector databases such as pgvector, Chroma, Pinecone, Weaviate, or Qdrant.
  • Docker and containerized deployments.
  • Kubernetes orchestration.
  • Azure AI infrastructure and GPU environments.
  • CI/CD pipelines and DevOps automation.
  • Multi-agent AI architectures.
  • Knowledge graph implementations.
  • Business intelligence and analytics platforms.
Success Metrics

Within the first 12 months, the successful candidate will help:

  • Deploy and optimize production AI workloads.
  • Improve AI response quality and accuracy.
  • Reduce inference latency and infrastructure costs.
  • Expand Performacentric's AI agent platform capabilities.
  • Deliver reliable AI integrations for customer environments.
  • Contribute to the development of new AI-powered products and services.
What We Offer
  • Opportunity to work on cutting-edge AI and agentic technologies.
  • Direct influence on product architecture and technical strategy.
  • Remote-first work environment.
  • Competitive compensation based on experience.
  • Professional growth opportunities in one of the fastest-growing areas of software development.
  • Ability to help shape the future of AI-powered business transformation.
How to Apply

Interested candidates should submit:

  • Resume/CV
  • Brief cover letter
  • GitHub profile (if available)
  • Portfolio of AI, machine learning, or software development projects
  • Examples of LLM, FastAPI, or AI agent implementations (preferred)

Join Performacentric and help build the next generation of AI agents that transform how businesses operate, make decisions, and grow.