Senior AI/ML Engineer (Healthcare experience) Job at Binariks

Senior Software Engineer II - AI/ML

As a Senior Software Engineer II at Aledade, we maintain, improve, and expand ou...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

BS/BTech (or higher) in Computer Science, Engineering or a related field
6+ years experience as an engineer building full-stack web applications as part of a cross-functional team
3+ years of experience working with SQL or other database querying language on large multi-table data sets
3+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
3+ years of experience coaching other engineers

Job Responsibility

Develop and implement scalable and performant solutions
Partner, as a peer, with Engineering Managers, Product Managers, and stakeholders throughout Aledade to develop and execute technical roadmaps using Agile processes
Mentor and coach more junior engineers including thorough pull request reviews for other developers and be receptive to critical feedback on your own work
Improve AI/ML infrastructure for model development, training, and deployment, with a focus on large language models and other generative AI architectures
Design multi-year vision, shaping the direction of crucial generative AI areas - text generation, image synthesis, multimodal models, and personalized content creation
Architect systems to enhance the capabilities and relevance of AI models, making complex data sets more accessible and actionable
Design and implement prompt engineering strategies to effectively guide generative AI models
Work closely with Product Management, Practices, Sales, Customer Success, and other stakeholders to identify and prioritize applied AI use cases within the organization
Analyze product usage patterns and trends to make data-driven decisions and forecasts for generative AI applications
Maintain the security of protected patient health information and ensure compliance with relevant regulations in the context of AI

Fulltime

Senior Software Engineer, Operations Automation

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem so...

Location

Salary:

190000.00 - 220000.00 USD / Year

Pomelo Care

Expiration Date

Until further notice

Requirements

Have a strong foundation in computer science and at least two years of experience building and shipping high-quality software
Have hands-on experience with AI/ML tools, LLMs and API integrations for automation
Can quickly build both frontend interfaces and backend services using modern frameworks
Act as a high-trust owner of systems that may handle sensitive data or business-critical logic
Stay updated on the latest AI models and tools, and apply that knowledge to cross-functional automation projects

Job Responsibility

Develop and maintain internal tools and systems that automate existing work and increase employee productivity using AI
Use AI as much as possible to automate your own process of creating this software
Collaborate with teams across the business to understand pain points and identify high-impact automation opportunities, then ensuring that they are adopted and deliver obvious value
Rapidly prototype small AI-enabled utilities or automations and deploy them into production swiftly
Supervise AI choices in architecture and technologies and debug complex systems when AI cannot handle them

What we offer

Competitive healthcare benefits
Generous equity compensation
Unlimited vacation
Membership in the First Round Network (a curated and confidential community with events, guides, thousands of Q&A questions, and opportunities for 1-1 mentorship)

Fulltime

Senior Technical Product Manager

As a Senior Technical Product Manager, Clinical Data Platform, you will be a key...

Location

United States

Salary:

Not provided

Aledade, Inc.

Expiration Date

Until further notice

Requirements

8+ years of product or technical program management experience in healthcare data platforms, interoperability, or machine learning infrastructure, with a focus on clinical data ingestion and transformation, technology-enabled services industry, or a SaaS product
Experience using and writing queries against data for the purposes of performing preliminary research to inform solution design and build internal business understanding
Strong understanding of the software development lifecycle, Agile methodologies, and cross functional collaboration across engineering, informatics and data science teams
Product development experience supporting LLM pipelines or retrieval-augmented generation workflows using structured and unstructured healthcare data
Proven ability to bridge business objectives and platform capabilities in environments requiring data standardization and semantic normalization

Job Responsibility

Define and drive both short and long term technical roadmaps for data pipeline infrastructure, ensuring scalable, reliable ingestion and transformation of structured and unstructured data across diverse upstream sources and downstream consumers to deliver maximum value with minimum risk
Partner cross functionally with engineering, analytics and key business stakeholders to identify data requirements, translate them into technical specifications and support implementation through backlog grooming, solution design and adoption oversight
Monitor pipeline performance and data quality metrics, proactively investigate anomalies with SQL or equivalent query tools to drive root cause analysis and implement improvements to support data completeness, timeliness, analytics and generative AI initiatives
Work with internal teams and end users to develop a deep understanding of requirements, perform thoughtful technical solution designs, use data to test hypotheses, and support teams throughout execution
Write detailed user stories for new features, capturing detailed descriptions of business rationale, requirements, and success criteria that are defined by measurable outcomes
Ongoing optimization of live user workflows and capabilities including monitoring of key metrics & internal user feedback

What we offer

Flexible work schedules and the ability to work remotely are available for many roles
Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
Robust time-off plan (21 days of PTO in your first year)
Two paid volunteer days and 11 paid holidays
12 weeks paid parental leave for all new parents
Six weeks paid sabbatical after six years of service
Educational Assistant Program and Clinical Employee Reimbursement Program
401(k) with up to 4% match
Stock options

Fulltime

Senior Technical Delivery Manager

We're seeking a Senior Technical Delivery Manager to spearhead enterprise deploy...

Location

Spain , Madrid

Salary:

Not provided

Maisa

Expiration Date

Until further notice

Requirements

Strong, demonstrable experience in technical delivery, solutions architecture, or infrastructure engineering, with experience supporting enterprise software deployments in highly regulated industries (financial services, healthcare, manufacturing)
Deep understanding of cloud infrastructure (AWS preferred), containerization technologies, enterprise networking, and security frameworks relevant to enterprise AI (SOC 2, ISO 27001, GDPR)
Proven track record managing multi-stakeholder technical projects across geographies and organizational boundaries
Cloud & Infrastructure: AWS (VPC, IAM, ECS/EKS, CloudWatch), Docker, Kubernetes, CI/CD pipelines
Enterprise Integration: RESTful APIs, authentication protocols (OAuth, SAML), enterprise databases, ETL/data pipeline concepts
AI/ML Fundamentals: Understanding of LLM architectures, RAG systems, agent frameworks, and enterprise AI governance
Security & Compliance: Experience with enterprise security reviews, data residency requirements, encryption standards, and regulatory compliance
Exceptional communication skills with ability to translate technical concepts for executive stakeholders and build trusted advisor relationships
Calm and composed under pressure, with proven ability to navigate high-stakes situations and de-escalate tension with diplomacy and professionalism
Structured problem-solver who thrives in ambiguous, fast-moving environments with composure under pressure

Job Responsibility

Lead end-to-end technical delivery of Maisa platform deployments across geos and regulatory environments, designing solution architectures for on-premise, private cloud, and hybrid environments that meet stringent enterprise security and compliance requirements while integrating with existing enterprise systems (e.g. legacy systems, ERP/CRM, identity providers, SIEM tools), as well as and troubleshooting complex technical issues spanning containerization (Docker/Kubernetes), networking, API integrations, and enterprise authentication (SSO, MSK, RBAC)
Serve as the primary technical point of contact for strategic enterprise clients, translating complex AI capabilities into business value through solution design workshops, architecture reviews, and executive stakeholder engagement. Whilst building confidence in our enterprise readiness
Partner with Support teams to ensure smooth operational hand off by developing technical documentation, SLA’s, escalation paths and playbooks, while serving as the escalation point for complex technical issues and critical incidents
Bridge between Client Services, Product Engineering, Applied AI, Support Operations, and customer teams to develop deployment playbooks, identify product enhancement opportunities, and support pre-sales technical validation

Director, Clinical Applications

The Director, Clinical Applications will plan, direct, and oversee all aspects o...

Location

United States , Denver

Salary:

136400.00 - 177400.00 USD / Year

InnovAge

Expiration Date

Until further notice

Requirements

Bachelor's degree in computer science, health informatics, or related technical field
10+ years of progressive leadership experience in healthcare technology organizations, with direct accountability for clinical application portfolios and functional team management
Deep knowledge and experience in a multi-disciplinary approach to healthcare technology, with specific experience managing clinical application ecosystems in PACE, senior care, or complex care coordination environments
Proven ability to lead and build strong, scalable, and diverse teams
demonstrated success leading geographically dispersed teams across clinical, technical, and operational disciplines
Healthcare experience is required, with hands-on knowledge of Epic EHR (including configuration, optimization, and FHIR API/interoperability capabilities), and familiarity with complementary clinical systems
Experience with Agile methodology and iterative delivery in regulated healthcare environments
Demonstrated experience hiring, managing, developing, and retaining highly technical staff and leadership in competitive healthcare IT markets
Demonstrated experience leading complex technology development and regulatory compliance projects on time and within budget, including EHR implementations, interoperability initiatives, and security hardening programs
Demonstrated experience leading operations and support teams, ensuring service levels are defined, met, and auditable for regulatory purposes (HIPAA, SOX)

Job Responsibility

Develops, procures, and deploys clinical technology solutions from concept through build/configure, integration, testing, and production deployment, including AI-enabled clinical tools and interoperability capabilities aligned with recognized standards
Operate, maintain, and support clinical technology solutions to meet service-level commitments, including Epic EHR, telehealth, in home services, and dental platforms
Balance demand management for multiple complex simultaneous projects, operational enhancements, regulatory compliance initiatives, break-fix, and maintenance requests
Partner with clinical, operational, and compliance teams to optimize workflows and design technology solutions that deliver value, exceptional user experience, and excellent outcomes for PACE participants and their caregivers
Research, recommend, and develop workflow solutions—including agentic AI, clinical decision support, and predictive analytics—to streamline processes, improve care quality, reduce costs, and enhance user experience
Collaborate with business stakeholders to create multi-year capability roadmaps that incorporate regulatory milestones (HIPAA Security Rule enforcement, CMS interoperability deadlines), grooming backlogs quarterly to create release packages/dates
Ensure all projects, initiatives, and processes conform to organizational policies, regulatory requirements (HIPAA, SOX), and are on schedule and within budget
Lead, mentor and develop the performance of the applications team
Collaborate across all IT functions to deliver sustainable, resilient platforms and applications, including the Cloud/Infrastructure, Integration, Architecture, and Data teams
Responsible for release and change management, coordination, and adherence to quality standards for multiple clinical technology solutions

What we offer

medical/dental/vision insurance
short and long-term disability
life insurance and AD&D
supplemental life insurance
flexible spending accounts
401(k) savings
paid time off
company-paid holidays

Fulltime

Senior AI/ML Software Engineer

We are hiring software engineers with extensive industry experience and expertis...

Location

United States , Palo Alto

Salary:

120000.00 - 200000.00 USD / Year

Solomon Page

Expiration Date

Until further notice

Requirements

7+ years of experience in AI/ML software engineering
Proficiency in Python, SQL, Jupyter Notebooks/Streamlit, Bash, Linux, and Git workflows
Strong skills in data munging, wrangling, exploration, and analysis
A sharp eye for designing scalable data models and intuitive software APIs
Ability to craft efficient algorithms and data pipelines, and troubleshoot bottlenecks quickly
Excellent communication, presentation, and documentation abilities
Up-to-date, practical knowledge of the state-of-the-art in AI/ML/NLP, including relevant tools and frameworks

Job Responsibility

Build and improve clinical and health information extractors and summarization tools used in real-time by healthcare professionals
Scrape, collect, extract, transform, query, analyze, and mine structured and unstructured data to evaluate system performance, generate insights, and expand/refine a clinical knowledge graph
Build and enhance supporting data/AI/ML systems and automation pipelines
Write secure, production-grade code and help maintain confidentiality, integrity, and availability of information systems in compliance with HIPAA and SOC 2
Participate in a rotating on-call schedule to ensure platform reliability

Fulltime

Senior Back End/Cloud Engineer

A dynamic wellness tech venture offering innovative tools to support proactive h...

Location

Ukraine

Salary:

Not provided

StartupSoft

Expiration Date

Until further notice

Requirements

4+ years of experience building production APIs
Strong proficiency in Node.js or Python
Experience with Google Cloud Platform
Understanding of RESTful API design principles
Experience with healthcare or sensitive data APIs
Strong debugging and testing skills
Previous experience with Firestore and GCP APIs
Healthcare API development experience
Experience integrating with AI/ML services
Knowledge of API security best practices

Job Responsibility

Build RESTful APIs for existing client, provider, and organization management systems
Create endpoints for body composition data retrieval and measurement session management
Develop APIs for clinical dashboard widgets and user applications
Implement API versioning and backward compatibility strategies
Write comprehensive API documentation using OpenAPI/Swagger
Build endpoints for body composition measurement ingestion from our BIA hardware
Create APIs for integrating with existing calculation engines (Expected Change Calculator, medication effectiveness analysis)
Develop data export APIs for clinical reporting and research purposes
Implement bulk data operations for organizational reporting needs
Create endpoints for provider dashboard functionality

What we offer

Global collaboration opportunities
Core team membership
Equity and ownership potential
Premier workspaces
Competitive compensation package
Cutting-edge technology environment
Impactful project contributions
Collaborative company culture

Fulltime

Head of Engineering / VP Engineering

Location

Canada , Greater Toronto Area

Salary:

160000.00 - 220000.00 CAD / Year

Advanced Technology Search Group

Expiration Date

Until further notice

Requirements

15+ years of software engineering experience with senior leadership responsibility
Proven success leading product-focused engineering teams in SaaS or enterprise software
Strong experience with cloud platforms (AWS, Azure, GCP)
Background in high-availability or regulated environments (healthcare, fintech, data platforms, etc.)
Comfortable operating in growth-stage environments with evolving priorities
Experience modernizing platforms and improving delivery velocity at scale
Exposure to AI/ML-enabled platforms or developer productivity tooling is a strong plus

Job Responsibility

Lead & Scale Engineering
Own engineering execution across product, platform, and data teams
Build and mentor high-performing engineering managers and senior technical leaders
Establish delivery discipline, predictability, and quality across releases
Drive Technical Strategy
Partner with Product and Executive Leadership to define the technical roadmap
Guide architectural decisions across cloud-native services, integrations, and data pipelines
Balance innovation with enterprise-grade reliability and performance
Accelerate Delivery with AI
Introduce and scale practical use of AI tools across the SDLC (code generation, testing, observability, internal tooling)

What we offer

bonus
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Fulltime

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Senior AI/ML Engineer (Healthcare experience)

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