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Python Ml Developer Jobs in Ohio (NOW HIRING)

Diverse Lynx

ML Engineering Delivery

Blue Ash, OH

... DevOps GitHub Actions integrated with Databricks o Leverage MLflow (Databricks native) for ... Languages Python (required) SQL optional JavaScala MLMLOps MLflow (or equivalent), model registry ...

Concord IT Systems

ML Engineer MLops

Cincinnati, OH

ML Engineer - MLops Sub Skill: MLOPS - Cloud (AWS/ GCP/ Azure) Type: Contract Location: Cincinnati ... Experience with Azure DevOps, Docker, Jenkins, Kubernetes, and other DevOps tools. Good Python ...

Tata Consultancy Service Limited

Engineer

Cleveland, OH · On-site

$100K - $120K/yr

AI/ML Developer * AI/ML Knowledge: Familiarity with core AI/ML concepts, technologies, and the AI ... Strong programming background in Python, deep understanding of machine learning algorithm.

Trans.eu

LEAD ML ENGINEER

Ohio City, OH

$96K - $127K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

Tata Consultancy Services

LEAD ML ENGINEER

Blue Ash, OH

$110K - $140K/yr

Python (required); SQL; optional Java/Scala * ML/MLOps: MLflow (or equivalent), model registry ... * DevOps: Git, CI/CD, Docker; Kubernetes, Terraform (optional) * Cloud: Azure, logging/monitoring

VDart

Senior AI / ML Engineer

Mayfield Village, OH

$107K - $146K/yr

Expert in Python and SQL; strong software engineering practices (testing, patterns, performance). • Classical ML: supervised/unsupervised learning, model evaluation, feature engineering, time ...

Diverse Lynx

AI/ML Engineer

Blue Ash, OH

$65 - $70/hr

... DevOps GitHub Actions integrated with Databricks o Leverage MLflow (Databricks native) for ... Languages Python (required) SQL optional JavaScala MLMLOps MLflow (or equivalent), model registry ...

Astra North Infoteck Inc.

$44.75 - $61.75/hr

Generative AI Developer Duration: 12 Months Location: Toronto, ON Work Model: Hybrid ? 2 Days ... Hands-on experience with AWS services related to AI/ML and serverless architectures. * Strong ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · On-site +1

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

Frontier Technology Inc.

AI/ML Engineer

Dayton, OH · Remote

Write clean, efficient Python code for data ingestion, feature engineering, embeddings, and ... Direct experience with ML frameworks such as PyTorch, TensorFlow, scikit-learn, Hugging Face, or ...

AceStack LLC

AI ML Engineer

Mason, OH

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

CGI

Senior Data & ML Feature Engineer

Strongsville, OH

$97K - $132K/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 ...

CGI Inc.

Senior Data & ML Feature Engineer

Strongsville, OH · On-site

$97K - $132K/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 ...

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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 Engineering Delivery

ML Engineering Delivery

Diverse Lynx

Blue Ash, OH

Other

Posted 17 days ago

Job description

ML Engineering Delivery
Location: Blue Ash, OH
Competencies: 10+ years experience required
Agile Way of Working
Digital : Machine Learning
Digital : Artificial Intelligence(AI)
Role Description:
ML Engineering Delivery
o Lead the design and implementation of production ML pipelines for training, batch inference, and real-time/near-real-time scoring.
o Translate Data Science prototypes into robust, maintainable services and workflows with strong testing, observability, and reliability.
o Build and manage feature engineering workflows, feature stores (where applicable), and reusable ML components.
o Drive model packaging and deployment patterns (containers, serverless, managed endpoints) and optimize for performance and cost.
MLOps
o Implement CICD for ML (model versioning, automated testing, promotion gates, rollback strategies) using Azure DevOps GitHub Actions integrated with Databricks
o Leverage MLflow (Databricks native) for experiment tracking, model registry, and lifecycle managementt
o Establish best practices for model monitoring data drift, concept drift, model degradation, and alerting.
o Define and enforce guardrails for responsible AI bias checks, explainability, privacy controls, and auditability.
Data Platform Collaboration
o Partner with Data Engineering on data quality, lineage, and availability to ensure reliable model inputs.
o Work with CloudPlatform teams to ensure scalable infrastructure (compute, networking, IAM, secrets, logging).
oI nfluence target architecture and technology decisions for the ML platform roadmap.
Leadership Mentoring
o Provide technical leadership and mentorship to ML Engineers and junior team members.
o Conduct design reviews, code reviews, and establish engineering standards.
o Coordinate delivery plans, estimate work, and manage technical risks and dependencies.
REQUIRED SKILLS:
Languages Python (required) SQL optional JavaScala
MLMLOps MLflow (or equivalent), model registry, monitoring, evaluation pipelines
Data Spark, DataFrames, data modeling fundamentals, feature engineering
DevOps Git, CICD, Docker Kubernetes, Terraform (optional)
Cloud Azure, logging/monitoring
Experience with MLOps practices, including model versioning, monitoring, and CICD for ML pipelines.
Desirable Skills: Knowledge of Retail domain
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
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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