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Python Ml Developer Jobs in Indiana (NOW HIRING)

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Strong expertise in data analysis tools and languages (e.g., Python, R, SQL). * Experience with ...

Senior ML Engineer

Indianapolis, IN · On-site

$99.90K - $137.20K/yr

Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights ... Proficiency in Python, SQL , and ML frameworks (Scikit-Learn, XGBoost, TensorFlow). * Excellent ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

... programming languages commonly used in AI/ML development, such as ... Python, and supporting languages (e.g., SQL, Java, C++). - 3 years demonstrated experience of ...

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

About the Team- We are looking for a Senior ML Engineer to join the group of Machine Learning ... Strong proficiency in Python . * Experience reading and understanding SQL databases and writing ...

Senior Machine Learning Engineer

Union City, IN · On-site +1

$95.20K - $130.70K/yr

About the Team- We are looking for a Senior ML Engineer to join the group of Machine Learning ... Strong proficiency in Python . * Experience reading and understanding SQL databases and writing ...

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Python Ml Developer information

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

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 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 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 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 May 2026, with employment types broken down into 1% Internship, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution.

Senior AI/ML Engineer

Purple Drive Technologies

Indianapolis, IN • On-site

$99.90K - $137.20K/yr

Full-time

Posted 22 days ago


Job description

Overview:
AI/ML Engineer: 10+ Years of Experience
Skills
AI/ML
Strong Python Coding Experience
LLM workflows
(AWS/GCP/Azure)
ETL workflows using Spark, Glue, Airflow,
• Design, develop, and maintain scalable Python applications, libraries, and scripts for data pipelines, APIs, and LLM workflows, ensuring code quality and reusability.
• Craft, test, and optimize prompts for generative AI/LLM models; integrate Hugging Face transformers and fine-tuned models into ETL and downstream applications.
• Build and manage robust ETL workflows using Spark, Glue, Airflow, or similar; handle structured/unstructured data ingestion, transformation, and persistence across data lakes, warehouses, and RDS systems.
• Develop and operationalize LLM/transformer models via Hugging Face ecosystem; optimize inference pipelines for latency, scalability, and cost efficiency across cloud (AWS/GCP/Azure) and containerized environments (ECS/Fargate/Kubernetes).