healthcare ai engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Cupertino - 165,200.00 - 223,600.00 USD annually 
USA, NY, BROOKLYN - 158,100.00 - 213,800.00 USD annually 
USA, NY, Carle Place - 158,100.00 - 213,800.00 USD annually 
USA, NY, New York - 158,100.00 - 213,800.00 USD annually 
USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually 
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, AWS SDE Centralized Team

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Clara - 143,700.00 - 194,400.00 USD annually 
USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually 
USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually 
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Software Development Engineer, AWS Central SDE Team

Amazon Web Services (AWS)

<div>
 
 Description
 
 
 
 Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including:
 
 
 <ul>
 <li>
 Embedded Systems
 </li>
 <li>
 Game Development
 </li>
 <li>
 Compiler Engineering
 </li>
 <li>
 Artificial Intelligence/Machine Learning
 </li>
 <li>
 Healthcare AI
 </li>
 <li>
 Infrastructure Services
 </li>
 <li>
 Firmware Development
 </li>
 <li>
 Cloud Computing
 </li>
 <li>
 Distributed Systems
 </li>
 <li>
 Security Engineering
 </li>
 <li>
 Video Processing and Streaming
 </li>
 <li>
 Content Delivery Network (CDN)
 
 
 </li>
 </ul>
 When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront.
 
 
 Key job responsibilities
 
 
 
 As An AWS Software Development Engineer, You Will
 
 
 
 <ul>
 <li>
 Design, develop, and maintain efficient, reusable, and reliable code
 </li>
 <li>
 Implement complex software solutions that meet business requirements
 </li>
 <li>
 Collaborate with cross-functional teams to define, design, and ship new features
 </li>
 <li>
 Identify and resolve performance bottlenecks and bugs
 </li>
 <li>
 Participate in architecture and design reviews to provide technical guidance
 </li>
 <li>
 Contribute to continuous improvement by identifying opportunities for process enhancement
 </li>
 <li>
 Stay current with emerging technologies and industry trends
 </li>
 <li>
 Mentor junior engineers and contribute to building a strong engineering culture
 
 
 </li>
 </ul>
 A day in the life
 
 
 On a typical day as an AWS SDE, you might:
 
 
 <ul>
 <li>
 Start your morning with a team stand-up to align on priorities and address any blockers
 </li>
 <li>
 Collaborate with product managers to refine requirements for upcoming features
 </li>
 <li>
 Write code and develop solutions for complex technical challenges
 </li>
 <li>
 Review pull requests from team members, providing constructive feedback
 </li>
 <li>
 Participate in design discussions for new services or features
 </li>
 <li>
 Debug and troubleshoot production issues as they arise
 </li>
 <li>
 Attend learning sessions to stay current with AWS technologies
 </li>
 <li>
 Document your work and contribute to technical specifications
 </li>
 <li>
 Engage with customers or internal stakeholders to better understand their needs
 
 
 </li>
 </ul>
 
 About The Team
 
 
 
 Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect:
 
 
 <ul>
 <li>
 An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests
 </li>
 <li>
 They will share specific details about what you need to succeed in the interview process
 </li>
 <li>
 As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams
 </li>
 <li>
 Throughout the process, the central team will provide guidance and preparation support
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 3+ years of non-internship professional software development experience
 </li>
 <li>
 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
 </li>
 <li>
 3+ years of building complex software systems experience
 </li>
 <li>
 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
 </li>
 <li>
 Bachelor's degree or equivalent
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
 </li>
 <li>
 Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques
 </li>
 <li>
 Knowledge of Python and/or C++ programming
 
 
 </li>
 </ul>
 Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
 
 
 Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 
 
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
 
 
 
 
 Company
 
 - Amazon.com Services LLC
 
 
 Job ID: A3146624
</div>

Software Development Engineer

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Web Services (AWS) is building a central pipeline of Software Development Engineer (SDE) talent for anticipated roles in 2026. This requisition supports hiring across all AWS SDE positions, from fungible SDE roles to specialized engineering positions in areas including: 
 
<ul><li>Embedded Systems</li><li>Game Development</li><li>Compiler Engineering</li><li>Artificial Intelligence/Machine Learning</li><li>Healthcare AI</li><li>Infrastructure Services</li><li>Firmware Development</li><li>Cloud Computing</li><li>Distributed Systems</li><li>Security Engineering</li><li>Video Processing and Streaming</li><li>Content Delivery Network (CDN)</li></ul>
When you apply to this position, your profile will be considered for current and future SDE openings across AWS, including teams such as Twitch, AWS Elemental, and AWS CloudFront. 
 
Key job responsibilities 
As an AWS Software Development Engineer, you will: 
<ul><li>Design, develop, and maintain efficient, reusable, and reliable code</li><li>Implement complex software solutions that meet business requirements</li><li>Collaborate with cross-functional teams to define, design, and ship new features</li><li>Identify and resolve performance bottlenecks and bugs</li><li>Participate in architecture and design reviews to provide technical guidance</li><li>Contribute to continuous improvement by identifying opportunities for process enhancement</li><li>Stay current with emerging technologies and industry trends</li><li>Mentor junior engineers and contribute to building a strong engineering culture</li></ul> 
A day in the life 
On a typical day as an AWS SDE, you might: 
<ul><li>Start your morning with a team stand-up to align on priorities and address any blockers</li><li>Collaborate with product managers to refine requirements for upcoming features</li><li>Write code and develop solutions for complex technical challenges</li><li>Review pull requests from team members, providing constructive feedback</li><li>Participate in design discussions for new services or features</li><li>Debug and troubleshoot production issues as they arise</li><li>Attend learning sessions to stay current with AWS technologies</li><li>Document your work and contribute to technical specifications</li><li>Engage with customers or internal stakeholders to better understand their needs</li></ul> 
About the team 
Our central SDE sourcing team specializes exclusively in the SDE job family across AWS. This team of experts understands the nuances of various SDE roles throughout the organization and serves as your dedicated resource throughout the hiring process. Here's what you can expect: 
 
<ul><li>An SDE sourcer will contact you for an initial screening call to understand your background, skills, and interests</li><li>They will share specific details about what you need to succeed in the interview process</li><li>As the right roles become available, your sourcer will stay in touch and connect you with appropriate teams</li><li>Throughout the process, the central team will provide guidance and preparation support</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>3+ years of building complex software systems experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Bachelor's degree or equivalent</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of Python and/or C++ programming</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 
 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner. 
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. 
USA, CA, Santa Clara - 143,700.00 - 194,400.00 USD annually 
USA, CA, Santa Clara - 165,200.00 - 223,600.00 USD annually 
USA, TX, AUSTIN - 143,700.00 - 194,400.00 USD annually 
USA, TX, Austin - 143,700.00 - 194,400.00 USD annually 
USA, VA, ARLINGTON - 143,700.00 - 194,400.00 USD annually 
USA, VA, Arlington - 143,700.00 - 194,400.00 USD annually 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually 
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually</div>

Eames Consulting

<div>
 
 
 AI/ML Engineer (Contract)
 
 
 
 
 Location:
 
 Florida (Required) -
 
 No Relocation
 
 
 
 
 Duration:
 
 6 Months (with possible extension)
 
 
 
 
 
 
 
 
 
 Overview
 
 
 
 We are seeking an experienced AI/ML Engineer to support the design, development, and deployment of scalable machine learning and generative AI solutions. This role will focus on building production-ready models, optimizing data pipelines, and collaborating with cross-functional teams to deliver high-impact AI initiatives.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and deploy machine learning models and AI solutions in production environments
 </li>
 <li>
 Build and optimize
 
 LLM-based applications
 
 (e.g., RAG pipelines, prompt engineering, agent workflows)
 </li>
 <li>
 Develop and maintain
 
 data pipelines
 
 to support model training, evaluation, and inference
 </li>
 <li>
 Implement
 
 MLOps best practices
 
 , including model versioning, monitoring, and automated retraining
 </li>
 <li>
 Collaborate with data engineers, product managers, and stakeholders to translate business requirements into technical solutions
 </li>
 <li>
 Evaluate model performance and continuously improve accuracy, scalability, and efficiency
 </li>
 <li>
 Ensure compliance with
 
 data governance, security, and responsible AI standards
 
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 6&ndash;7 years of experience in AI/ML engineering, data science, or related field
 </li>
 <li>
 Strong programming skills in
 
 Python
 
 (NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Hands-on experience with
 
 TensorFlow
 
 or
 
 PyTorch
 
 </li>
 <li>
 Experience building and deploying
 
 LLM-based solutions
 
 (RAG, embeddings, vector databases)
 </li>
 <li>
 Solid understanding of
 
 data engineering concepts
 
 (ETL, data pipelines, distributed processing)
 </li>
 <li>
 Experience with
 
 cloud platforms
 
 (AWS, Azure, or Google Cloud)
 </li>
 <li>
 Familiarity with
 
 MLOps tools
 
 (e.g., MLflow, Airflow, Docker, CI/CD pipelines)
 </li>
 <li>
 Strong problem-solving skills and ability to work independently in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 Databricks
 
 ,
 
 Snowflake
 
 , or similar data platforms
 </li>
 <li>
 Knowledge of
 
 vector databases
 
 (e.g., Pinecone, FAISS, Weaviate)
 </li>
 <li>
 Exposure to
 
 agentic AI frameworks
 
 (e.g., LangChain, LlamaIndex)
 </li>
 <li>
 Experience working in
 
 regulated environments
 
 (finance, healthcare, or government)
 </li>
 <li>
 Familiarity with
 
 AI governance frameworks
 
 (e.g., NIST AI RMF, Responsible AI practices)
 </li>
 </ul>
 
 
</div>

AI/ML Engineer

Openkyber

<div>DataOps Engineer / Azure Data Engineer (Public Health Data Modernization) Location: Remote Position Type: Contract (15 months with multi-year extension options)
Prior experience health care data modernization projects for state projects is highly desired
Job Summary:
We are seeking a highly skilled DataOps Engineer to lead the operationalization of a large-scale public health data infrastructure modernization initiative. This role is critical in establishing a sustainable, staff-owned DataOps foundation to improve the quality, reliability, and usability of state-wide health data. You will work at the intersection of data engineering, quality assurance, and governance, utilizing a modern cloud stack centered on Azure DevOps, Azure Databricks, and AWS Data Lake architectures.
The ideal candidate is not just a technical expert but also a mentor who can perform hands-on co-development with internal teams to build durable organizational capacity.
Key Responsibilities:
<ul><li>Data Quality &amp; Statistical Process Control (SPC): Develop and implement governed, version-controlled downstream Data Quality (DQ) rules and validation frameworks. Establish SPC monitoring for data volumes, timeliness, and distributions, including AI-assisted anomaly detection.</li>
<li>Infrastructure &amp; Pipeline Support: Translate downstream requirements into actionable specifications for upstream ingestion teams. Maintain operational performance metrics and observability dashboards.</li>
<li>Data Governance &amp; Metadata: Build and maintain data glossaries, catalogs, and end-to-end lineage visualizations within established governance tools. Define data contract requirements for external vendors, including schema expectations and QA thresholds.</li>
<li>Analytics &amp; BI Enablement: Develop governed Power BI semantic models (Cost, Quality, Access) and standardized dashboards with integrated DQ/SPC overlays.</li>
<li>Organizational Enablement: Lead role-based training through active co-building sessions. Document all processes, runbooks, and SOPs as living Wikis within Azure DevOps to ensure long-term sustainability.</li>
</ul>Required Technical Stack:
<ul><li>Platform: Azure DevOps (Boards, Repos, Pipelines, Wikis).</li>
<li>Data Engineering: Azure Databricks and AWS Data Lake (Medallion Architecture).</li>
<li>Visualization: Power BI (DAX, RLS, semantic modeling).</li>
<li>Automation: Power Automate and SharePoint integration.</li>
<li>Architecture: Experience with native AWS services and complex data ingestion pipelines.</li>
</ul>Preferred Qualifications:
<ul><li>Certifications: Microsoft Certified: Azure Data Engineer Associate, Power BI Data Analyst Associate (PL-300), or Databricks Data Engineer Professional.</li>
<li>Domain Expertise: Prior experience with healthcare data infrastructure (e.g., APCD, Medicaid, or clinical datasets).</li>
<li>Management: DAMA CDMP, Lean Six Sigma, or Prosci Change Practitioner certifications.</li>
<li>Agile: SAFe Practitioner or Scrum Master (CSM/PSM).</li>
</ul>DataOps Engineer, Azure Data Engineer, Databricks, Azure DevOps Pipelines, Power BI Developer, Healthcare Data Analytics, AWS Data Lake, Medallion Architecture, Data Governance, Statistical Process Control, Metadata Management, Data Quality Engineering, AI Anomaly Detection, Semantic Modeling, DAX, SQL, Python, Public Health IT, Data Lineage, CDMP.
For applications and inquiries, contact: hirings@openkyber.com</div>

Azure Network Engineer

Blue Matter

<div>Blue Matter is a rapidly growing management consultancy focused on the biopharmaceutical industry. We partner with clients to help them achieve commercial success across the lifecycle of their products, portfolios, and organizations.
Blue Matter is hiring for the Technology and Operations Practice within the Blue Matter Insights Team. Our Technology &amp; Operations practice integrates strategy, data, and AI to deliver scalable, technology-enabled solutions for BioPharma Clients. The practice has developed a category-defining platform called Twine&trade;&mdash; an AI-first customer intelligence platform purpose-built for life sciences that is already seeing strong traction in the market. The successful candidate will play a direct role in shaping, enhancing, and scaling Twine as a core capability within our portfolio.
As an AI Engineer / Senior AI Engineer, you will work across Blue Matter as a technical expert in AI and emerging technologies, playing a key role in designing, building, and deploying AI-powered solutions for both internal teams and clients. You will be at the forefront of integrating APIs, building proof-of-concepts (POCs), developing internal applications, and creating client-facing tools and services. This role is ideal for someone who is passionate about staying current with the rapidly evolving AI landscape and eager to apply cutting-edge techniques to solve real-world problems in life sciences.
Primary Responsibilities
As a key member of cross-functional client-facing teams, develop and execute project plans to support initiatives that include, but are not limited to:<ul><li>
Design, develop, and deploy AI/ML solutions and Generative AI applications to support commercial data and analytics for life sciences companies</li><li>
Integrate third-party AI APIs (e.g., OpenAI, Anthropic, Google Gemini, Hugging Face) into internal and client-facing applications to deliver intelligent, scalable solutions</li><li>
Build proof-of-concepts (POCs) and rapid prototypes to demonstrate the value of AI-driven approaches for product launch analytics, drug discovery, patient analytics, and data operations</li><li>
Develop and maintain internal tools and applications that streamline workflows, automate operational processes, and enhance team productivity using AI</li><li>
Build client-facing tools and services that leverage AI to deliver actionable insights, interactive dashboards, and intelligent recommendations</li><li>
Utilize cloud-service providers (e.g., AWS, Azure, or GCP) including services such as S3, EC2, Lambda, Azure OpenAI, and SageMaker to build and deploy scalable AI solutions</li><li>
Collaborate with onshore/offshore teams to ensure timely, high-quality deliverables, providing technical guidance and code reviews</li><li>
Design and implement data pipelines and ETL processes to support AI model training, fine-tuning, and inference workflows</li><li>
Investigate and evaluate emerging AI frameworks, tools, and models to continuously improve the team&rsquo;s AI capabilities and stay ahead of industry developments</li><li>
Contribute to Blue Matter&rsquo;s Internal platform rollout and other AI-powered product initiatives in client environments</li><li>
Address client questions, gather requirements, and deliver AI-powered solutions aligned with business goals</li><li>
Ensure project success through effective collaboration and meeting deadlines using agile delivery model</li><li>
Stay current with the latest advancements in AI/ML, LLMs, prompt engineering, RAG, agents, and related technologies, and evangelize best practices across the organization</li></ul>
Desired Experience and Skills<ul><li>
Hands-on experience building AI/ML applications, including working with LLMs, Generative AI, and NLP frameworks</li><li>
Strong proficiency in Python and experience with AI/ML libraries and frameworks (e.g., LangChain, LlamaIndex, Hugging Face Transformers, PyTorch, TensorFlow)</li><li>
Proven experience integrating AI APIs (e.g., OpenAI, Anthropic, Google Vertex AI, Azure OpenAI) into production-grade applications</li><li>
Experience building and deploying internal tools and applications (e.g., using Streamlit, Gradio, Flask, FastAPI, or React)</li><li>
Ability to build client-facing tools and services that are reliable, user-friendly, and production-ready</li><li>
Expertise in building proof-of-concepts (POCs) and rapid prototypes to validate AI-driven solutions</li><li>
Experienced with cloud platforms (AWS, Azure, GCP) and services</li><li>
Proficient in API development (RESTful/GraphQL) and version control (e.g., Git)</li><li>
Expertise in SQL, Python, and databases</li><li>
Familiar with data pipeline tools (e.g., Airflow, dbt) and data warehouse technologies (e.g., Snowflake, Redshift, Databricks)</li><li>
Knowledge of prompt engineering, RAG (Retrieval-Augmented Generation), fine-tuning, and AI agent frameworks</li><li>
Strong knowledge of AI safety, responsible AI practices, and model evaluation techniques</li><li>
Knowledge of US pharma datasets and healthcare concepts is a plus</li><li>
Strong problem-solving, communication, and client-facing skills</li><li>
Proficient in Agile/Scrum and project management tools (e.g., JIRA, Smartsheet)</li><li>
Genuine passion and curiosity for ongoing AI development, with a demonstrated habit of learning and experimenting with new AI tools, models, and techniques</li><li>
Excellent communication and presentation skills (internal and client facing)</li></ul>
Preferred Qualifications<ul><li>
Advanced degree(s) (PhD, MD, MBA, or MS) in Computer Science, AI/ML, Data Science, or a related field</li><li>
4+ years of AI/ML engineering experience (AI Engineer) or 6+ years (Senior AI Engineer), including client-facing roles experience</li><li>
Demonstrated ability to integrate business and industry knowledge in developing creative AI solutions</li><li>
Active contributions to open-source AI projects, personal AI projects, or published research in AI/ML</li><li>
Passion for Generative AI and its applications in life sciences and healthcare</li></ul>
Compensation:
Base salary range: $100,000 - $150,000 per year. Generous incentive compensation structure. 
 
Benefits Package:<ul><li>
401k - generous employer match with immediate vesting and financial planning resources</li><li>
Comprehensive medical, dental and vision coverage options effective day 1 of employment</li><li>
Flexible spending account (FSA) or Health Savings Account (HSA)</li><li>
Company paid insurances including Short- and Long-Term Disability and Life insurance as well as additional voluntary options</li><li>
Paid parental leave for all new parents</li><li>
Health &amp; Wellness Benefit (e.g., gym memberships; $1000 reimbursement annually)</li><li>
Employee Assistance Program</li><li>
Generous paid time off including vacation, sick days, floating and company holidays</li></ul><div>
Blue Matter is an equal opportunity employer and does not discriminate against otherwise qualified applicants on the basis of race, color, religion, ancestry, age (40 and over), sex (including gender identity, sexual orientation and pregnancy), national origin, disability, marital status, parental status, genetic information, political affiliation, protected veteran status, or any other characteristic protected by law.</div>
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