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Ibm Watson Health Machine Learning Jobs (NOW HIRING)

Purple Drive Technologies

AI Developer

Richardson, TX · On-site

Machine learning model optimization * Speech recognition and text-to-speech technologies PREFERRED QUALIFICATIONS * Experience with IBM Watson Orchestrate and Watson Assistant * IBM Voice Gateway and ...

Fusemachines

Lead Data Scientist- IBM Watson

New York, NY · On-site

$100K - $150K/yr

Design and implement statistical models, machine learning algorithms, predictive analytics models ... IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX * Agentic AI Tools: Experience with ...

Fusemachines

Lead Data Scientist- IBM Watson

New York, NY · On-site

$100K - $150K/yr

Design and implement statistical models, machine learning algorithms, predictive analytics models ... IBM WatsonX: 2+ years of hands-on experience with IBM WatsonX * Agentic AI Tools: Experience with ...

Envision

Emergency Medicine Physician

Ypsilanti, MI

Honored as a Top 100 Hospital by Fortune/IBM Watson, the institution is part of the renowned Trinity Health Michigan network. Awards and recognition: American Association of Critical-Care Nurses ...

Envision

Emergency Medicine Physician

Ypsilanti, MI · On-site

Honored as a Top 100 Hospital by Fortune/IBM Watson, the institution is part of the renowned Trinity Health Michigan network. Awards and recognition: American Association of Critical-Care Nurses ...

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Ibm Watson Health Machine Learning information

What types of projects can I expect to work on as a Machine Learning professional at IBM Watson Health?

As a Machine Learning specialist at IBM Watson Health, you will typically work on projects involving healthcare data analysis, predictive modeling, and the development of AI-powered clinical decision support tools. You'll collaborate with interdisciplinary teams including data scientists, clinicians, and software engineers to create solutions that improve patient outcomes and operational efficiency. Common challenges include working with sensitive health data, ensuring model accuracy and compliance, and staying updated with the latest advancements in health informatics. You'll also have opportunities to contribute to research publications and participate in industry conferences.

What is IBM Watson Health Machine Learning?

IBM Watson Health Machine Learning refers to the suite of AI-powered tools and solutions developed by IBM to analyze healthcare data and generate insights that can help improve patient care, streamline operations, and advance medical research. These machine learning models can process large volumes of structured and unstructured data, such as electronic health records, medical images, and clinical notes, to identify patterns and support decision-making. Healthcare organizations use IBM Watson Health's machine learning capabilities for predictive analytics, personalized medicine, and operational efficiencies, ultimately aiming to enhance outcomes and reduce costs.

What are the key skills and qualifications needed to thrive as an IBM Watson Health Machine Learning Specialist, and why are they important?

To thrive as an IBM Watson Health Machine Learning Specialist, you need a strong background in machine learning, data science, and healthcare analytics, typically backed by a degree in computer science, engineering, or a related field. Familiarity with tools such as Python, R, TensorFlow, Watson Studio, and experience with healthcare data standards and cloud platforms is essential. Strong problem-solving skills, teamwork, and clear communication help you collaborate with interdisciplinary teams and translate complex findings to stakeholders. These skills enable you to develop effective AI-driven healthcare solutions that improve patient outcomes and drive innovation.

What is the difference between Ibm Watson Health Machine Learning vs Data Scientist?

AspectIbm Watson Health Machine LearningData Scientist
Required CredentialsTypically requires degrees in computer science, data science, or related fields; certifications in machine learning or AI are commonUsually requires degrees in statistics, computer science, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentHealthcare tech companies, research institutions, hospitals; focus on health data and AI applicationsVaries across industries; includes tech firms, finance, healthcare, and consulting; focus on data analysis and modeling
Employer & Industry UsagePrimarily in healthcare, biotech, and health tech sectorsWidely used across multiple industries including finance, tech, healthcare, and marketing

While both roles involve working with data and machine learning, Ibm Watson Health Machine Learning specializes in applying AI to healthcare data, whereas Data Scientists have a broader scope across various industries. The roles share similar educational backgrounds and skills but differ in their industry focus and application areas.

Infographic showing various Ibm Watson Health Machine Learning job openings in the United States as of May 2026, with employment types broken down into 3% As Needed, 41% Full Time, 5% Part Time, and 51% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

IBM Watson Developer

Interon IT Solutions

Hartford, CT • On-site

Contractor

Posted 6 days ago

Job description

Job Title: IBM Watson Developer

Location: Hartford, CT (Onsite )

Duration: Long-term

Contract Type-#W2

Interview: 2 rounds (face-to-face)

Position Summary

In this role, you will architect, implement, and optimize rich conversational flows using IBM’s Conversational AI stack, while integrating enterprise data sources to deliver context-aware, trustworthy responses. You’ll collaborate with product, UI/UX, and backend teams to define requirements, influence features, and ensure scalable, user-centric solutions.

 

Key Responsibilities

  • Ability to design and develop AI conversations with responses coming from outside APIs via cloud function or integration with other systems.
  • Applying clean coding skills and best practices.
  • Collaborating with user interface designers and backend application integration teams to understand the mechanisms through which the conversational AI solution will be used and what is needed to fulfil intents.
  • Collaborating with teams and other developers to design, develop, test, deploy and maintain a chatbot.
  • Troubleshoot bots, debug, and deploy chatbots on various channels (voice/chat).
  • Leveraging AI, NLP Technologies and cognitive machine learning to develop chatbot applications.
  • Integrate chatbot solutions with multiple platforms.
  • Enhancing user effectiveness of the conversational agents with the help of advanced technologies.
  • Continuously develop knowledge of emerging technologies and analytics techniques and support the pursuit of business development opportunities.
  • Tuning and enhancing Speech to Text models.

Required Qualifications

  • 8+ years software delivery experience
  • 3+ years of Chatbot development experience with IBM WatsonX Orchestrate, or any other similar chatbot conversational AI tool (i.e Google Dialogflow CX, LivePerson, Amazon Lex, Kore.ai)
  • 3+ years training and improving intent recognition by curating the appropriate training data sets
  • 3+ years applying Conversational AI best practices (e.g. NLP and training data best practices)
  • 1+ years of experience in CICD, Git, unit-testing and source code management
  • 1+ years of knowledge of cloud development and deployment principles
  • 1+ years of Backend (server-side) development experience in Java, Node.js, or Python
  • 1+ years of multi-language experience in JavaScript/Typescript
  • 1+ years of working in an Agile environment, with knowledge in DevOps approaches, end-to-end software development processes and business requirements

Preferred Qualifications:

  • Prior work with IBM Watson Speech-to-Text, Watson Discovery, or similar voice processing and information retrieval technologies.
  • Familiarity with SSML (Speech Synthesis Markup Language) tagging for TTS refinement
  • Experience integrating unstructured data sources (e.g., document searching using semantic embeddings) with conversational agents

 

Education:

  • Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience required.