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Python Ml Developer Jobs in Indiana (NOW HIRING)

Sr. AI Engineer

Indianapolis, IN · On-site

$99.90K - $137.10K/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 ...

Sr. AI Engineer

Indianapolis, IN

$99.90K - $137.10K/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 ...

Sr. AI Engineer

Indianapolis, IN · On-site

$99.90K - $137.10K/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 ...

Scientific Data Architect

Marion, IN · On-site

$54 - $69.50/hr

... ML methodologies to accelerate scientific outcomes. The ideal candidate is a proactive problem ... Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and ...

Experience with object-oriented programming using languages such as Java, Python, or JavaScript ... Basic understanding of AI/ML frameworks such as TensorFlow or PyTorch. Compensation The wage range ...

Data Engineer (AI)

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 ...

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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 Computer Vision Engineer

Matrix Design Group

Newburgh, IN • On-site

$99.10K - $136.10K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Matrix designs, manufactures, and sells innovative technological products that help keep people safe. Originally focused on the underground coal mining industry, Matrix has expanded into new industrial markets in the United States and globally.
We are currently seeking a Senior Computer Vision Engineer. The Senior Computer Vision Engineer will work closely with software engineers, as well as project and product managers, to develop robust vision-based artificial intelligence algorithms. In this role, the engineer's enthusiasm and expertise in computer vision engineering will be directed toward designing safe and effective computer vision solutions. This position is based in a collaborative, team-oriented environment at the company's main office in Newburgh, IN, and is not open to remote work arrangements. This position works in a team environment at our office in Newburgh, IN. This is not a remote position.
This position reports to the Manager of Software Systems.
Duties and Responsibilities
  • Prepare customer-facing presentations for custom model deployments
  • Implement CI/CD pipelines for models, data, and source code
  • Work with product and project managers to ensure that projects proceed on time and on budget
  • Work with other engineers to develop a working understanding of how the AI is developing
  • Document process steps to ensure reasonable human oversight
  • Work with other engineers to monitor changes in development and implement transfer learning and knowledge distillation between iterative machine learning models
  • Mentor junior engineers and interns
  • Participate in code reviews and sprint planning
  • Understand and apply best practices for object detection modeling
  • Understand and apply TensorFlow, PyTorch, and ONNX core concepts
  • Understand and apply hardware accelerator compilation and execution
  • Understand and apply Jupyter Notebooks/Google Colab concepts
  • Understand and apply source control best practices for machine learning, ETL, and data annotation pipelines

Qualifications & Competencies
Employment Eligibility & Verification
All applicants must be able to provide proof of eligibility to work in the United States. Employment is contingent upon the successful completion of the I-9 form, as required by federal law. Additionally, candidates will be required to undergo an employment verification process before beginning work. Please note that we do not offer sponsorship for work authorization (e.g., H-1B, TN, or other visas) at this time.
Education: Bachelor's degree in a related field, such as computer science, software engineering or data science, is recommended. Master's degree in Artificial Intelligence a plus.
  • 7+ years of experience in the ML space
  • An expert-level understanding of Python with a focus on ML framework such as TensorFlow or PyTorch
  • Proficient with state-of-the-art object detection algorithms such as YOLO, DETR, and DINO
  • Experience with containerization technologies such as Docker, Kubernetes, etc.
  • Experience developing software using one or more of the following languages (C/C++, C#, Python)
  • Experience with Linux and/or Windows OS
  • Experience with model, container, and package registries
  • Experience with ML tools such as DVC, MLFlow, Lake FS, Label Studio, Azure ML, Azure AI Foundry
  • Experience with SQL databases, vector embeddings, and vector databases such as Milvus, pgvector, Pinecone, Chroma, etc.
  • Experience with multimodal models such as CLIP, GPT-4V, Llama
  • Experience with classical CV algorithms such as Canny Edge Detector, SIFT, RANSAC, Optical Flow, SLAM, etc.
  • Strong understanding of source control concepts and CI/CD pipelines
  • Must have strong communication, computer, documentation, presentation, and interpersonal skills

Working Conditions
  • Daily Job duties will consist of office, lab, and desk work with occasional field testing required.
  • Candidate may be required to work underground, but on an infrequent basis.
  • While performing the duties of this job, the employee is regularly exposed to work near large moving machinery.
  • Customer operations may contain airborne particles and allergens.
  • Matrix employees are furnished and required to wear safety gear such as hard hats, steel toe shoes, reflective clothing, earplugs, and safety glasses.
  • Occasional travel and ability to work various shifts as required by customer.

Physical Requirements
The employee is occasionally required to stand, walk and stoop, or crouch. The employee may need to lift and/or move up to 10 pounds. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. Physical Demands: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Benefits
  • First day coverage of all benefits - no waiting period
  • Premium free medical, dental and vision insurance - working spouse must take single major medical at their place of employment if offered
  • On-site health clinic
  • Basic Life (2x annual base salary at no cost)
  • Optional Life and Accidental Death and Dismemberment (AD&D) insurance
  • Short-Term and Long-Term Disability insurance (no cost)
  • 401(k) Plan with up to an 8% company match
  • FSA for Health Care and Dependent Care
  • 10 Paid annual holidays plus vacation time
  • Educational Reimbursement Program
  • Scholarship Program
  • Optional Gym Membership
  • ESports Room

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