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Python Ai Ml Jobs in Ohio (NOW HIRING)

Senior AI / ML Engineer

Mayfield Village, OH

$107K - $146K/yr

Senior AI / ML Engineer Location: Onsite 4 days a week - 6035 Parkland Blvd, Mayfield Heights, OH ... Expert in Python and SQL; strong software engineering practices (testing, patterns, performance ...

AI ML Engineer Location: Mason, OH (Remote) Job Type: Fulltime Must Have Technical/Functional ... Python (Expert level) * Machine Learning & Model Training * Training, evaluation, fine tuning

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 ...

$44.75 - $61.75/hr

Strong proficiency in Python including FastAPI, Flask, asyncio, pandas, etc ... Hands-on experience with AWS services related to AI/ML and serverless architectures. * Strong ...

Define and enforce guardrails for responsible AI bias checks, explainability, privacy controls, and ... Languages Python (required) SQL optional JavaScala ML MLflow (or equivalent), model registry ...

Lead AI-ML Engineer

Westerville, OH · On-site

$98K - $130K/yr

... using AI/ML techniques. • Perform data analysis, generate insights, and identify patterns to ... proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy ...

Lead AI-ML Engineer

Westerville, OH

$99K - $130K/yr

... using AI/ML techniques. • Perform data analysis, generate insights, and identify patterns to ... proficiency in Python, R, or Scala with experience using data science libraries (e.g., NumPy ...

AI/ML Software Engineer

Dayton, OH · Remote

$140K - $220K/yr

AI/ML Software Engineer ID 2026-6941 Category Engineering Type Regular Full-Time Location ... Develop software using modern programming languages such as Java, Python, C++, or TypeScript ...

ML Engineering Delivery * Lead the design and implementation of production ML pipelines for ... Languages Python (required) SQL optional JavaScala MLMLOps MLflow (or equivalent), model registry ...

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

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 ...

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

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Python Ai Ml information

What are Python AI/ML engineers?

Python AI/ML engineers are professionals who use Python programming language to design, develop, and implement artificial intelligence (AI) and machine learning (ML) algorithms and models. Their work involves analyzing data, building predictive models, and deploying machine learning solutions to solve real-world problems. They are skilled in libraries such as TensorFlow, PyTorch, and Scikit-learn, and often collaborate with data scientists and software engineers. These engineers play a key role in transforming data into actionable insights and AI-powered applications.

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

To thrive as a Python AI/ML Engineer, you need strong proficiency in Python programming, a solid background in mathematics and statistics, and a degree in computer science or a related field. Familiarity with machine learning frameworks (such as TensorFlow, PyTorch, or scikit-learn), version control systems, and cloud platforms is typically required, along with relevant certifications being advantageous. Analytical thinking, problem-solving, and effective communication are essential soft skills that help translate business needs into technical solutions. These skills ensure the development of accurate, scalable, and efficient AI/ML models that deliver value to organizations.

How does a Python AI/ML professional typically collaborate with data engineers and domain experts during a project?

Python AI/ML professionals frequently work closely with data engineers to ensure data pipelines are robust, clean, and optimized for modeling. They also collaborate with domain experts to understand business needs, refine problem statements, and interpret results in the context of real-world applications. Effective communication and regular meetings are essential, as these collaborations help bridge technical and business perspectives, ensuring that machine learning solutions are both technically sound and aligned with organizational goals.
What cities in Ohio are hiring for Python Ai Ml jobs? Cities in Ohio with the most Python Ai Ml job openings:

Senior AI / ML Engineer

VDart

Mayfield Village, OH

$107K - $146K/yr

Other

Posted 3 days ago


Job description

Job Title: Senior AI / ML Engineer
Location: Onsite 4 days a week - 6035 Parkland Blvd, Mayfield Heights, OH 44124
Duration: Full time

Top Skills:
• Python
• Gen AI. LLM, RAG. Agentic AI nice to have.
• Azure, but will accept AWS or GCP.
• ML nice to have.
Qualifications
• 4-year University degree
• Five or more years of experience in Information Technology
• Programming: Expert in Python and SQL; strong software engineering practices (testing, patterns, performance).
• Classical ML: supervised/unsupervised learning, model evaluation, feature engineering, time series.
• Deep Learning: PyTorch or TensorFlow, transformers, CV/NLP pipelines.
• Generative AI: LLMs, RAG, fine-tuning, prompt design, evaluation metrics and guardrails.
• Agentic AI: Practical experience with concepts such as tool-calling, reasoning loops, task planning or multi-agent orchestration (e.g., AutoGen, LangChain Agents, LangGraph)
• Data processing: Spark/Databricks or equivalent; batch and streaming (e.g., Kafka).
• Storage: relational and NoSQL; data lakes; vector databases (e.g., FAISS, Pinecone, Weaviate).
• CI/CD (e.g., GitHub Actions, GitLab CI), containerization (Docker), orchestration (Kubernetes).
• Experiment tracking and model management (e.g., MLflow, Weights & Biases, DVC).
• Cloud: Proficiency with one major cloud (AWS, GCP, or Azure) for training and serving (e.g., SageMaker, Vertex AI, AKS).
• Security and Privacy: Experience handling sensitive data (PII), encryption, access controls, secure model serving.
• Search and retrieval: Elastic/OpenSearch, knowledge graphs, advanced RAG patterns.
• Ethics and Compliance: Champions responsible AI and governance.
• Delivery: On-time, high-quality deployment of ML/LLM features into production.
• Assess current AI/ML assets, data pipelines, and platform maturity; identify quick wins and strategic gaps.