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Python Ml Developer Jobs in Indiana (NOW HIRING)

Zylo

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch.. * Knowledge of enterprise security patterns and compliance requirements * Ability to ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN · On-site

$99K - $137K/yr

Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch.. * Knowledge of enterprise security patterns and compliance requirements * Ability to ...

ZYLO, INC.

Sr. AI Engineer

Indianapolis, IN

$99K - $137K/yr

Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch.. * Knowledge of enterprise security patterns and compliance requirements * Ability to ...

RR

Data Systems/Solutions Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

SQL and at least one general-purpose programming language (e.g., Python) * Experience with CI/CD pipelines and automated testing for data and ML workflows * Familiarity with data quality frameworks ...

inKind

Data Engineer

Austin, IN · On-site

$135K - $155K/yr

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 ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... AI/ML Collaboration - Serve as the technical bridge between the Knowledge Management team and the ... Python or similar scripting for automation - Knowledge of KCS (Knowledge-Centered Service ...

Liberty Mutual

Senior Software Engineer

Indianapolis, IN · Hybrid

$117K - $154K/yr

... AI/ML Collaboration - Serve as the technical bridge between the Knowledge Management team and the ... Python or similar scripting for automation - Knowledge of KCS (Knowledge-Centered Service ...

Bespoke Labs

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

Bespoke Labs

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

Bespoke Labs

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

Bespoke Labs

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

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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 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.

Will MLE be replaced by AI?

Machine Learning Engineers (MLEs) design, develop, and maintain AI and machine learning systems. While AI automation tools can handle certain tasks, MLEs are essential for creating, optimizing, and interpreting complex models, making complete replacement unlikely in the near term. MLEs need skills in programming, data analysis, and model deployment to adapt to evolving AI technologies.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior machine learning engineer or AI research director, often requiring advanced skills in deep learning, data science, and programming with tools like Python and TensorFlow. Such roles usually involve leadership, strategic planning, and extensive experience in the field.

Which 3 jobs will survive AI?

For a Python ML Developer, roles that require complex problem-solving, creativity, and human judgment are likely to persist, such as AI research scientist, data scientist, and software engineer. These jobs involve designing, interpreting, and improving AI models, which currently require advanced expertise, critical thinking, and domain knowledge that AI cannot fully replicate. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience.

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 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.

Can you do ML in Python?

Yes, Python is widely used for machine learning (ML) development due to its extensive libraries such as TensorFlow, scikit-learn, and PyTorch. Python skills are essential for a Python ML developer to build, train, and deploy ML models efficiently in various environments.
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:
Python Ml Developer jobs near you
Sr. AI Engineer

Sr. AI Engineer

Zylo

Indianapolis, IN • On-site

$99K - $137K/yr

Full-time

Re-posted 25 days ago

Job description

Zylo is the enterprise leader in SaaS Management, enabling companies to discover, manage, and optimize their SaaS applications. Zylo helps companies reduce costs and minimize risk by centralizing SaaS inventory, license, and renewal management. Trusted by industry leaders, Zylo's AI-powered platform provides unmatched visibility into SaaS usage and spend. Powered by the industry's most intelligent discovery engine, Zylo continuously uncovers hidden SaaS applications, giving companies greater control over their SaaS portfolio. With more than 30 million SaaS licenses and $75 billion in SaaS spend under management, Zylo delivers the deepest insights, backed by more data than any other provider.
Overview
We are seeking an experienced Senior AI Engineer to lead the evolution of our enterprise SaaS platform's agentic AI capabilities. You'll drive strategic AI initiatives that solve complex client problems while working with large-scale datasets for global enterprise customers. This role combines deep technical expertise in AI agents, RAG systems, and enterprise integration with strategic thinking about how AI can transform our platform and deliver exceptional business value..
What you will do
  • Drive strategic AI initiatives that directly impact client success and business growth, defining technical roadmaps and influencing product strategy to solve complex enterprise problems
  • Architect and enhance our agentic processes for enterprise-scale deployments, building sophisticated multi-agent orchestration patterns for complex workflows
  • Design advanced agent memory systems and context management solutions that maintain coherence across long-running conversations and extended enterprise tasks
  • Build and implement RAG (Retrieval-Augmented Generation) systems to dramatically improve AI accuracy, including knowledge retrieval pipelines and semantic search optimization for large-scale datasets
  • Develop enterprise-grade MCP (Model Context Protocol) services enabling seamless client agent integration with standardized APIs, security protocols, and comprehensive documentation
  • Leverage AWS technologies (Bedrock, Lambda, etc) to architect AI solutions with optimal performance, cost efficiency, and enterprise-scale LLM integration
  • Design and optimize schemas for storing LLM interactions, agent state, and conversation history while building monitoring systems for AI operations
  • Lead cross-functional initiatives to integrate AI throughout our platform ecosystem, partnering with product and engineering teams to deliver measurable business value
  • Translate complex technical AI concepts into business value, working directly with enterprise clients to understand their needs and influence strategic platform decisions
  • Mentor engineering teams on AI best practices, emerging technologies, and enterprise AI governance while maintaining high engineering standards for production AI systems.

Requirements
What you need
  • Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in AI/ML engineering with at least 2 years in a senior role
  • Proven experience building and deploying AI agents or conversational AI systems in production
  • Experience working with large-scale enterprise datasets and SaaS platforms.
  • Expertise in design patterns for memory systems and context management solutions and optimization for AI workloads
  • Experience with Amazon Bedrock and AWS Lambda for serverless AI deployments
  • Experience with RAG systems, vector databases, and semantic search
  • Understanding of Model Context Protocol (MCP) and AI agent integration patterns
  • Proficiency in programming languages such as Python, PySpark, SQL and ML frameworks such as TensorFlow, PyTorch..
  • Knowledge of enterprise security patterns and compliance requirements
  • Ability to articulate technical concepts to technical and non-technical stakeholders.
  • Ability to thrive in a fast-paced, dynamic environment.
  • Flexibility to adapt to changing priorities and requirements.

Nice to have
  • Experience in SaaS Management or Software Asset Management.
  • Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • Knowledge of ethical AI, bias mitigation, and AI safety best practices
  • Experience with LangChain and LangGraph frameworks

At Zylo, we're committed to Growing Stronger Together by fostering a diverse and inclusive workplace. We believe that a variety of perspectives not only fuels innovation, but also allows us to better serve our diverse customer base. If you meet the essential qualifications, we encourage you to apply and join us on this journey. Still growing in your career? Connect with our talent community -we're always looking for future Zylos who share our passion for continuous learning.

Apply