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Python Ml Developer Jobs in Indiana (NOW HIRING)

Data Engineer

Austin, IN

$135K - $155K/yr

  • Medical

  • Dental

  • Vision

  • PTO

Data Engineering is a key role in the development team and is responsible for building and ... Proficiency in Python and modern AI/ML tooling and experience integrating with LLM APIs (Anthropic ...

Data Scientist

Indianapolis, IN · On-site

$110 - $170/hr

This role combines applied statistical/ML modeling with strong data engineering fluency, working ... Strong Python and SQL skills; experience with ML libraries * Demonstrated ability to understand ...

Data Engineer

Indianapolis, IN · On-site

$100K - $120K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Evansville, IN · On-site

$109K - $131K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

South Bend, IN · On-site

$112K - $135K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Gary, IN · On-site

$113K - $136K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Fort Wayne, IN · On-site

$105K - $126K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Terre Haute, IN · On-site

$108K - $130K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Hammond, IN · On-site

$109K - $130K/yr

... research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ... ML storage formats: Parquet, HDF5, JSON Lines

Sr. Web Application Developer

Indianapolis, IN · On-site

$57.65/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

NET (e.g., Node.js, Python, or similar). * Strong hands-on experience with T-SQL, including writing ... Hands-on experience integrating or developing AI/ML capabilities, such as working with AI APIs ...

Showing results 41-60

Python Ml Developer information

What does a Python ML Developer do?

A Python ML Developer designs, builds, and deploys machine learning models using the Python programming language. They work with large datasets, clean and process data, select appropriate algorithms, and use libraries like TensorFlow, PyTorch, or scikit-learn to implement solutions. Their work often involves collaborating with data scientists and engineers to integrate machine learning models into applications. Additionally, they may be responsible for testing, tuning, and optimizing models to achieve the best possible performance in real-world scenarios.

What are the key skills and qualifications needed to thrive as a Python ML Developer?

To thrive as a Python ML Developer, you need strong programming skills in Python, a solid understanding of machine learning algorithms, and a background in mathematics or statistics, often supported by a degree in computer science, engineering, or a related field. Familiarity with tools and libraries such as TensorFlow, scikit-learn, PyTorch, and version control systems like Git is essential, along with experience using data visualization and cloud platforms. Critical soft skills include problem-solving, adaptability, and effective communication to collaborate with cross-functional teams and explain complex models to stakeholders. These skills ensure the successful development, deployment, and maintenance of machine learning solutions that drive business value.

What are some common challenges Python ML Developers face when deploying machine learning models to production?

Python ML Developers often encounter challenges such as ensuring model scalability, managing dependencies, and maintaining reproducibility when deploying models into production environments. Integrating machine learning models with existing systems can require close collaboration with DevOps and software engineering teams to streamline workflows and automate deployment pipelines. Additionally, monitoring model performance over time and handling data drift are crucial responsibilities to ensure continued accuracy and reliability of deployed solutions.

What is the difference between Python Ml Developer vs Data Scientist?

AspectPython Ml DeveloperData Scientist
Required CredentialsBachelor's in CS, Data Science, or related; Python, ML certificationsBachelor's/Master's in Data Science, Statistics, or related; Python, ML certifications
Work EnvironmentSoftware development teams, AI/ML projectsResearch, data analysis, modeling teams
Employer & Industry UsageTech companies, startups, AI firmsFinance, healthcare, tech, research institutions
Common Search & ComparisonYesYes

Python ML Developers focus on building and deploying machine learning models using Python, often working closely with software engineering teams. Data Scientists analyze data, create models, and generate insights, often using Python along with statistical tools. While both roles require Python and ML knowledge, Python ML Developers are more involved in implementation and deployment, whereas Data Scientists focus on data analysis and research.

What are popular job titles related to Python Ml Developer jobs in Indiana?

For Python Ml Developer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Python Ml Developer jobs in Indiana look for?

The top searched job categories for Python Ml Developer jobs in Indiana are:

What cities in Indiana are hiring for Python Ml Developer jobs?

Cities in Indiana with the most Python Ml Developer job openings:

Infographic showing various Python Ml Developer job openings in Indiana as of June 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.

AFSIM Developer / Modeler

Peerless Technologies

Crane, IN • On-site

Full-time

PTO

Re-posted 26 days ago


Job description

Peerless is searching for a highly capable AFSIM Developer / Modeler to support advanced modeling and simulation efforts for Navy and DoD mission needs. This role sits at the center of a growing technical capability footprint, offering the opportunity to work on high-impact, mission-relevant problems within a small, expert team environment. The selected candidate will contribute to model development, validation and verification (V&V), and operational analysis efforts such as trade studies and analyses of alternatives. This position offers the opportunity to shape technical direction and contribute to the growth of advanced modeling capabilities within a high-visibility environment.

Requirements

  • Proficiency in Python, C/C++, or similar programming languages
  • Experience with AFSIM or similar modeling and simulation tools (e.g., STK, NGTS, Suppressor)
  • Strong systems thinking and experience integrating models into larger simulation environments
  • Ability to work directly with customers and translate mission needs into technical solutions
  • TS/SCI clearance or ability to obtain

Preferred Qualifications

  • Experience with EMSO, Electronic Warfare (EW), or RF-related modeling
  • Background in analysis of alternatives (AOAs), design of experiments (DoE), or campaign-level modeling
  • Familiarity with Nuclear Triad or strategic deterrence modeling
  • Experience with containerized or microservices-based environments
  • Exposure to AI/ML-enabled analytics or SIGINT-related applications

Why Peerless

  • Small team, real impact: Your work is visible and directly contributes to mission outcomes, with exposure to company leadership
  • Direct access: Work closely with leadership and customers without layers of management
  • Technical focus: Ongoing investment in mission engineering, modeling & simulation, electronic warfare, and data-driven analysis
  • Growth opportunity: Help build and expand Peerless technical presence in the Crane area
  • Flexibility: Flexible PTO and a practical approach to work-life balance

Peerless is a 25-year small business with roots in SETA support that is actively reinvesting to expand into deeper technical capabilities across software, modeling, and mission-focused engineering. This role is a key part of that evolution.

Who Thrives Here

  • Engineers who like owning problems end-to-end
  • Those who prefer small, high-performing teams over large organizations
  • Individuals who want their work tied to real mission impact
  • Professionals comfortable working directly with customers
  • Candidates interested in building and shaping capabilities, not just maintaining them