IMO Health is a clinical data intelligence business at the heart of a digital revolution in healthcare. Combining rich, highly nuanced medical terminology, extensive domain knowledge, and artificial intelligence (AI), we expertly structure and operationalize clinical data to generate sharper insights and inform more intelligent decision-making. 

Deeply embedded in the provider world, we developed a comprehensive intelligence layer that captures and encodes patient encounters with unmatched completeness and precision. Now, by weaving ethical and accountable AI into this robust content, we are improving how data is used across the healthcare landscape with powerful new applications in health tech, drug discovery, population health, and payer processes.   

IMO Health. Transforming data. Transforming healthcare.

Industry: IT Services and IT Consulting
Company Size: 201-500 employees

IMO Health

Savvy Admin PROD

IMO Health is a clinical data intelligence company improving how data is used across the healthcare ecosystem. We combine deeply nuanced medical terminology, extensive domain expertise, and modern data and AI platforms to structure, connect, and operationalize clinical data—powering sharper insights and more intelligent decision-making across our products and for our clients.

At IMO, data is not a byproduct of our systems—it is the product.

As a **Sr. Data Engineer **, you will play a hands-on, senior technical role in designing, building, and operating scalable data platforms that power IMO’s products, analytics, and AI initiatives. You’ll work closely with data engineers, analytics engineers, software engineers, data scientists, and product partners to deliver reliable, observable, and well-modeled data systems.

This role is ideal for someone who enjoys owning complex data problems end-to-end, influencing architecture and standards, and raising the technical bar for data engineering across teams.

**What You’ll Do**

- Build and operate production-grade data platforms that support IMO’s terminology-driven products, analytics, and machine learning use cases

- Design, develop, and maintain data pipelines for batch and incremental processing using modern lakehouse and cloud-native patterns

- Work extensively with cloud data platforms (AWS + Databricks) to ingest, transform, and serve structured and semi-structured data at scale

-  Support data visualization use cases across Angular applications, dashboards, and BI platforms by designing analytics-ready datasets, APIs, and aggregation layers

- Model data intentionally—developing well-documented, analytics- and product-ready data models that balance usability, performance, and correctness

- Apply strong software engineering practices to data work, including version control, testing, CI/CD, and infrastructure-as-code

- Collaborate directly with product, analytics, and AI teams to translate requirements into scalable technical solutions

- Improve reliability, performance, and cost-efficiency of data systems through monitoring, observability, and continuous optimization

- Design for data quality and trust, implementing automated checks, validation frameworks, and lineage-aware workflows

- Contribute to platform evolution, helping shape standards around orchestration, data modeling, environments, and deployment

- Operate in an Agile environment, taking ownership of deliverables and proactively identifying risks and opportunities

- Mentor and support other engineers, leading by example in code quality, problem decomposition, and technical decision-making

- Continuously learn and apply industry best practices in data engineering, analytics engineering, and AI data foundations

**What You’ll Need**

- Bachelor’s degree in a relevant technical field and 5+ years of professional experience, or 7+ years of equivalent hands-on experience

- Demonstrated experience building and supporting end-to-end data platforms in a production environment

- Strong programming experience in Python and SQL, with an engineering mindset toward maintainability and testing

- Deep experience with cloud-baseddataplatforms, especially:

- AWS (e.g., S3, EC2, RDS, IAM)

- Databricks / Spark-based processing

- Strong SQL skills, including complex transformations and performance-aware query design

-  Experience supporting data visualization use cases by delivering datasets, APIs, and data models for dashboards and BI tools

- Hands-on experience with data orchestration frameworks (e.g., Airflow or equivalent)

- Experience designing and optimizing datamodels for analytics, reporting, and downstream applications

- Familiarity with CI/CD practices and infrastructure-as-code (e.g., Git, Terraform)

- Comfort working with large, complex, and evolving datasets, including managing schema change and metadata

- Strong analytical, debugging, and root-cause analysis skills

- Clear written and verbal communication skills, including documenting designs and tradeoffs

- A proactive, ownership-oriented mindset and the ability to work effectively across teams

**Preferred Experience**

- Experience with analytics engineering tools and patterns (e.g., dbt or similar transformation frameworks)

- Familiarity with data observability, monitoring, and cost management in cloud environments

- Experience supporting AI / ML data pipelines or feature engineering workflows

- Exposure to streaming or near–real-time data processing concepts

- Experience with healthcare, clinical, or regulated data domains

- Familiarity with metadata management, data catalogs, and lineage concepts

- AWS certifications (Data Engineer, Solutions Architect, or AI/ML)

- Experience with Angular, Power BI, Tableau

$130,000 - $180,000 a year

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses, equity, or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process.

IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health's Careers Page .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Sr. Data Engineer

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes.

We are seeking a **Staff AI / MLOps Engineer **to join our Software Engineering organization, owning the end-to-end machine learning lifecycle for production AI systems. This role is responsible for designing, building, deploying, operating, and evolving AI-powered systems that are scalable, reliable, observable, and maintainable in real-world clinical environments.

This is a technical leadership role focused on operational excellence and architectural rigor. The ideal candidate is a hands-on engineer with deep experience across software engineering, MLOps, DevOps, cloud infrastructure, and data systems, capable of owning ML systems from initial design through long-term production operation, monitoring, retraining, and retirement. You will partner closely with data scientists, product teams, and platform engineers to ensure AI models successfully transition from research to durable, production-grade systems.

**What You’ll Do**

- Own the full ML lifecycle, including data ingestion, training, validation, deployment, monitoring, retraining, and retirement.

- Transition AI/ML prototypes into scalable, production-ready systems with CI/CD pipelines, automation, and observability.

- Lead system design and architecture discussions, providing guidance on ML systems, MLOps, and AI infrastructure.

- Develop and maintain AI-driven applications and inference services, optimizing for performance, scalability, reliability, and cost.

- Integrate LLMs, generative AI, and NLP solutions into IMO Health products, focusing on unstructured clinical data.

- Implement monitoring, alerting, logging, and dashboards to ensure model quality, detect drift, and maintain operational SLAs.

- Build, maintain, and optimize CI/CD pipelines, automation scripts, and Infrastructure-as-Code for production ML systems.

- Apply containerization (Docker, Kubernetes) and cloud infrastructure best practices to manage production environments.

- Mentor and guide engineers, enforce technical standards, and drive reduction of technical debt.

- Conduct root cause analysis of production defects and implement durable fixes.

- Advocate for non-functional requirements (availability, scalability, reliability, maintainability) and design systems accordingly.

- Collaborate cross-functionally with Product, Data Science, Architecture, and Engineering teams to align AI solutions with business goals.

**What You’ll Need**

- 8+ years of professional experience in software engineering, AI/ML engineering, or related roles, building and operating production-grade systems.

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

- Strong foundation in computer science fundamentals (data structures, algorithms, design patterns, operating systems, networking).

- Expert-level coding skills in Python or Java, with a strong emphasis on production-quality software engineering practices.

- Hands-on experience owning ML systems in production, including deployment, monitoring, retraining, and optimization.

- Experience designing and operating CI/CD pipelines, automation, and observability for ML systems.

- Deep experience with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.

- Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).

- Experience integrating and deploying LLMs, generative AI, and agentic systems in production environments.

- Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling); healthcare exposure is a plus.

- Experience with Elasticsearch and vector databases for embedding-based search and retrieval.

- Proven ability to translate business needs into scalable, reliable technical solutions, balancing technical debt and delivery velocity.

- Strong system design skills for high-performance, distributed, and scalable systems.

- Excellent communication and collaboration skills across cross-functional, distributed teams.

- Self-starter who can operate autonomously and own complex systems end to end.

**Nice To Have**

- Experience with clinical or healthcare AI applications.

- Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks.

- AWS Associate-level certification (Machine Learning Engineer or Solutions Architect).

$170,000 - $240,000 a year

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Staff AI Engineer - Clinical AI

At IMO Health, we combine strengths in software development, artificial intelligence, and clinical expertise to create AI-driven solutions that enhance access to reliable health information, support clinical decision-making, and improve patient outcomes. We are seeking a **Senior AI / MLOps Engineer ** to join our Clinical AI team, owning the entire machine learning lifecycle—from data ingestion and model training, to deployment, monitoring, optimization, and retraining in production. This role bridges research and product by operationalizing AI models, ensuring they scale reliably, and building the infrastructure that enables innovation in clinical data processing.

The ideal candidate is a hands-on engineer with deep MLOps expertise, capable of designing robust pipelines and production systems, monitoring model performance over time, and driving the continuous improvement of AI solutions. You will work closely with data scientists and cross-functional teams to integrate AI into IMO products, ensuring that models are reliable, reproducible, and maintainable in production.

**What You’ll Do**

- Own the full ML lifecycle, including data ingestion, model training, validation, deployment, monitoring, retraining, and retirement.

- Transition AI/ML models from prototypes into scalable, production-ready systems.

- Build, deploy, and maintain CI/CD pipelines for ML models, ensuring reproducibility, scalability, and reliability.

- Design and implement cloud-based infrastructure (AWS, Azure, or equivalent) for training, inference, and monitoring of AI models.

- Automate repetitive ML lifecycle tasks to improve efficiency, consistency, and reliability in retraining and deployment workflows.

- Integrate large language models (LLMs), generative AI, and NLP solutions into IMO Health’s Clinical AI products, focusing on unstructured clinical data.

- Develop scalable inference pipelines and APIs to deliver AI capabilities to customer-facing solutions.

- Apply containerization (Docker, Kubernetes) and Infrastructure-as-Code to manage production environments.

- Implement monitoring, alerting, and performance dashboards to ensure model quality, detect drift, and maintain operational SLAs.

- Optimize deployed models for latency, throughput, reliability, and cost efficiency.

- Participate in system design and architecture discussions, providing expertise in MLOps and AI deployment best practices.

- Collaborate in an Agile environment with cross-functional teams, aligning technical solutions with product and business goals.

**What You’ll Need**

- 5+ years of professional experience in software engineering, AI/ML engineering, or related roles.

- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience).

- Strong coding skills in Python or Java, with experience in software engineering best practices.

- Hands-on experience deploying, maintaining, and scaling ML models in production environments.

- Proficiency with cloud platforms (AWS or Azure), containerization, and Infrastructure-as-Code.

- Experience with MLOps tools and workflows (e.g., MLflow, SageMaker, Kubeflow).Familiarity with CI/CD pipelines, automation, monitoring, and observability for ML systems.

- Working knowledge of NLP concepts (tokenization, embeddings, classification, sequence modeling); healthcare domain exposure is a plus.

- Experience fine-tuning and deploying LLMs and generative AI solutions.

- Strong problem-solving skills with the ability to design scalable, reliable, and maintainable ML systems.

- Excellent communication and collaboration skills in cross-functional, distributed teams.

- Self-starter with the ability to work independently and contribute from day one.

**Nice To Have**

- Experience with clinical or healthcare AI applications.

- Familiarity with Hugging Face, PyTorch, TensorFlow, or other modern ML frameworks.

- Prior exposure to agentic AI and generative AI applications.

- AWS Associate-level certification (Machine Learning Engineer or Solutions Architect).

$140,000 - $200,000 a year

Compensation at IMO Health is determined by job level, role requirements, and each candidate’s experience, skills, and location. The listed base pay represents the target for new hires with individual compensation varying accordingly. These figures exclude potential bonuses or sales incentives, which may also be part of the total compensation package. Our recruiter will provide additional details during the hiring process. IMO Health also offers a comprehensive benefits package. To learn more, please visit IMO Health’s Careers Page .

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Senior AI Engineer – Clinical AI

Explore job opportunities at IMO Health with Savvy's AI recruiter platform. View open positions, learn about the company culture, and apply directly through our intelligent recruitment system.

IMO Health

Jobs