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Python Ml Developer Jobs in Ohio (NOW HIRING)

CGI

Senior Data & ML Feature Engineer

Strongsville, OH

$105K - $126K/yr

We are seeking an experienced Data & ML Feature Engineer with strong expertise in Python and big data technologies to join our team. This role focuses on operational excellence, including optimizing ...

Teksoft Systems Inc

Python AI Engineer

Cleveland, OH

Strong proficiency in Python programming and experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, Transformers). * Hands-on experience with Azure OpenAI models and APIs. * Solid understanding ...

Diverse Lynx

Senior AI ML Engineer

Mason, OH

$98K - $134K/yr

AI/ML Engineer Location : Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis, IN ... Python expertise with experience building and deploying production-grade backend systems • Hands ...

JConnect Infotech

Senior AI ML Engineer

Cleveland, OH

$101K - $139K/yr

Senior AI ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis ... Strong Python expertise with experience building and deploying production-grade backend systems

JConnect Infotech

Senior AI ML Engineer

Mason, OH

$98K - $134K/yr

Senior AI ML Engineer Location: Mason, OH / Plano TX / Atlanta, GA / Cleveland, OH / Indianapolis ... Strong Python expertise with experience building and deploying production-grade backend systems

Vertiv Co

AI / ML Platform Engineer

Westerville, OH · On-site

Proficiency in Python for AI/ML engineering, data processing, and pipeline development. * Hands-on experience with RAG architectures , vector search technologies (e.g., Pinecone, Weaviate, pgvector ...

New

Vertiv Group Corp.

Principal AI Engineer

Delaware, OH · On-site

Python, ML frameworks (TensorFlow, PyTorch, scikit-learn) * Data engineering and MLOps tools * Model validation, testing, and deployment practices * Experience deploying AI/ML models in embedded ...

Vertiv Co

Principal AI Engineer

Delaware, OH · On-site

Python, ML frameworks (TensorFlow, PyTorch, scikitlearn) * Data engineering and MLOps tools * Model validation, testing, and deployment practices * Experience deploying AI/ML models in embedded ...

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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.

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.

What are popular job titles related to Python Ml Developer jobs in Ohio? For Python Ml Developer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Python Ml Developer jobs in Ohio look for? The top searched job categories for Python Ml Developer jobs in Ohio are:
What cities in Ohio are hiring for Python Ml Developer jobs? Cities in Ohio with the most Python Ml Developer job openings:
Python Ml Developer jobs near you
Infographic showing various Python Ml Developer job openings in Ohio as of June 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.
ML Technical Lead

ML Technical Lead

Tata Consultancy Services

Cincinnati, OH

$100K - $125K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago

Tata Consultancy Services rating

6.5

Company rating: 6.5 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

154th of 204 rated it services

Job description

REQUIRED SKILLS
  • Languages: Python (required); SQL; optional Java/Scala
  • ML/MLOps: MLflow (or equivalent), model registry, monitoring, evaluation pipelines
  • Data: Spark, DataFrames, data modeling fundamentals, feature engineering
  • DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional)
  • Cloud: Azure, logging/monitoring
  • Experience with MLOps practices, including model versioning, monitoring, and CI/CD for ML pipelines.
GOOD TO HAVE
  • Understanding of Data Science models
  • Exposure to Deep Learning frameworks such as TensorFlow or PyTorch
  • Solid understanding of feature engineering, model evaluation, and experimentation.
PREFERRED TRAITS
  • Strong communication and storytelling skills with data
  • Ability to work in a collaborative and fast-paced environment
  • Passion for solving complex business problems using data
Roles & Responsibilities
ML Engineering & Delivery
  • Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
  • Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
  • Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
  • Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
MLOps
  • Implement CI/CD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps / GitHub Actions integrated with Databricks
  • Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle management
  • Establish best practices for model monitoring: data drift, concept drift, model degradation, and alerting.
  • Define and enforce guardrails for responsible AI: bias checks, explainability, privacy controls, and auditability.
Data & Platform Collaboration
  • Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
  • Work with Cloud/Platform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
  • Influence target architecture and technology decisions for the ML platform roadmap.
Leadership & Mentoring
  • Provide technical leadership and mentorship to ML Engineers and junior team members.
    • Conduct design reviews, code reviews, and establish engineering standards.
  • Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
TCS Employee Benefits Summary:
  • Discretionary Annual Incentive.
  • Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
  • Family Support: Maternal & Parental Leaves.
  • Insurance Options: Auto & Home Insurance, Identity Theft Protection.
  • Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
  • Time Off: Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

#LI-RJ2
Salary Range-$100,000-$125,000 a year

What Tata Consultancy Services employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Tata Consultancy Services

Sourced by ZipRecruiter

Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Edison, NJ, US

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