Parker Hannifin · 1 day ago
Digital & IT Senior Analyst - AI/ML Engineer
Cleveland, OH
Full-time
Onsite
Senior Level
5+ years expParker Hannifin is focused on building data- and AI-powered experiences for internal users and customers. The Senior AI / ML Engineer will lead the design, delivery, and operations of machine learning and generative AI solutions across digital products and platforms, balancing hands-on engineering with architectural leadership and collaboration to drive business outcomes.
HardwareIndustrial ManufacturingManufacturing
Responsibilities
Own AI initiatives from problem framing through deployment and monitoring (data, modeling, evaluation, serving, and iteration)
Design, train, and optimize models for NLP/LLM use cases (e.g., RAG pipelines, fine-tuning, prompt engineering, safety and guardrails)
Build reliable ML infrastructure and services (APIs, containers, Kubernetes), integrating CI/CD and automated testing
Establish evaluation frameworks (offline metrics, online A/B tests, human-in-the-loop reviews) with clear success criteria
Implement observability for models (drift detection, performance/SLOs, error analysis, data quality checks)
Ensure security, privacy, and compliance (PII handling, model safety, prompt-injection defenses, auditability)
Partner with product to scope roadmaps, estimate effort, and align technical plans with business outcomes
Mentor engineers, contribute to architecture decisions, and champion best practices across the AI/ML stack
Qualification
Required
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
Company
Parker Hannifin
Parker Hannifin manufactures motion and control technologies, delivering precision-engineered solutions across various markets.
10001+ employees
H1B Sponsorship
Parker Hannifin has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (26)
2024 (30)
2023 (26)
2022 (31)
2021 (23)
2020 (33)
Funding
Current Stage
Public CompanyTotal Funding
$4.13MKey Investors
Advanced Propulsion Centre UK
2016-01-18Grant· $4.13M
1978-01-13IPO
Leadership Team
Todd M. Leombruno
Executive Vice President and Chief Financial Officer
J
John Dedinsky
Corp. VP Global Supply Chain & Procurement
Recent News
2026-01-03
GlobeNewswire
2025-12-12
Company data provided by crunchbase