178 applicants

Company

Omnicell · 3 hours ago

Artificial Intelligence Engineer

Cranberry Township, PA

Full-time

Remote

Senior Level

6+ years exp

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Responsibilities

Design, implement, and optimize AI and ML models, focusing on generative AI and NLP models, to enhance data processing and improve predictive insights.

Engineer reusable, efficient, and testable code in Python, R, or PowerShell to support AI/ML pipelines and system integrations.

Build and manage ETL pipelines to prepare data for machine learning and analytics applications.

Develop APIs to integrate ML models into various applications and enable seamless interaction with external services.

Design, develop, and maintain scalable full-stack applications that support real-time data analysis and visualization and leverage AI design components.

Lead the collection and analysis of requirements for AI-based solutions, ensuring high availability and performance for data-centric applications.

Stay current with the latest AI/ML innovations and apply these to continuously improve our generative AI solutions and automation frameworks.

Expand application capabilities to include mobile platforms (iOS and Android) if needed.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

AI Software EngineeringMachine LearningNatural Language ProcessingData EngineeringPythonRPowerShellDatabricksTensorFlowPyTorchAzureAWSGCPFull-stack DevelopmentReactAngularNode.jsKafkaMS-SQLRESTful APIsNLP TechniquesData TransformationAI-powered ApplicationsAzure MLVertex AIAWS SageMakerMicrosoft Semantic KernelOpenAI APID3.jsTime Series Analysis

Required

Ability to recommend technical, process, and procedural improvements to optimize AI-driven applications and systems.

Capability to mentor and train other team members on advanced AI/ML concepts and methodologies.

Expertise in ML model lifecycle management, including training, tuning, deploying, and monitoring models.

Collaboration skills for working cross-functionally with teams to solve complex technical challenges.

Advanced experience with Python, Databricks, R, and other ML libraries and frameworks such as TensorFlow or PyTorch.

Proficiency with cloud platforms (Azure, AWS, GCP) and ML deployment services, such as Azure ML, Vertex AI, or AWS SageMaker.

Strong understanding of full-stack development to build powerful dashboards and notifications for operational centers with a focus on AI automation.

Deep familiarity with machine learning and generative AI methodologies, with knowledge of platforms like Microsoft’s Semantic Kernel, Google’s Vertex AI, or OpenAI API.

Proficiency in both front-end and back-end tools and libraries (e.g., React, Angular, D3.js, Node.js) for building tools that support SRE and Operations oriented teams.

BA/BS in Computer Science, Data Science, or a related field, with 6–8 years of relevant experience, or an equivalent combination of education and experience.

3+ years of experience in AI/ML engineering, with demonstrated proficiency in programming languages such as Python, R, and PowerShell.

3+ years of experience with messaging and streaming services like Kafka.

Strong understanding of data engineering and database management, including experience with MS-SQL and Databricks.

Experience with developing and deploying RESTful APIs and integrating ML models.

Knowledge of machine learning and generative AI techniques, including NLP and time series analysis.

Proven ability to work with large datasets and perform complex data transformations.

Experience in building AI-powered applications using front-end technologies such as React, Angular, or Node.js.

Preferred

Master’s degree in AI, Machine Learning, or Data Science, with 8+ years of relevant experience or equivalent education/experience.

6+ years of experience in AI/ML model development, including fine-tuning LLMs, retrieval-augmented generation (RAG), or similar generative AI applications for chatbots and knowledge indexing.

3+ years of experience focused on automation, data integration, and AI-powered dashboard design.

1+ years of experience in AI-driven solutions for healthcare or pharmaceutical applications, ensuring PHI/PII compliance.

Familiarity with cloud architectures, such as AWS, Docker, or Kubernetes, and experience in deploying ML models in cloud environments.

Experience in IoT device/asset management is a plus.

Company

Omnicell

Glassdoor

3.2

Omnicell, Inc. (NASDAQ: OMCL) is a leading provider of automated and business information solutions enabling hospitals and healthcare

Founded in 1992

Santa Clara, California, USA

1,001-5,000 employees

http://www.omnicell.com

H1B Sponsorship

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Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (14)

2022 (46)

2021 (45)

2020 (14)