el/ml instructional assistant at dors south nights (part-time)

full-time student service library assistant

optometric technician/medical assistant part time

associate vice president - tech@lilly — cmc & process r&d technology

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el/ml instructional assistant at dors south nights (part-time) Jobs in Indianapolis

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el ml instructional assistant at dors south nights part time

Christel House Schools

<div><p>At Christel House Indianapolis, we strive to create empowering opportunities through a rigorous and holistic education for all Christel House Indianapolis students and alumni, so they actualize their aspirations and develop effective leadership skills. Christel House Indianapolis students and graduates are world changers. Everyone. Every day. Around the world, Christel House students are empowered to realize their full potential and supported in an environment that allows them to learn and grow as individuals. Their experience is grounded in four foundational values of responsibility, respect, integrity, and independence that were put in place by our founder, Christel DeHaan.</p><p><b>
Christel House Indianapolis DORS South Nights</b> is currently seeking a <b>Part-Time EL/ML Instructional Assistant</b>.</p><p><b>
Hours:</b> <b>Monday - Thursday 4:30p.m. - 8:00p.m.</b></p><p><b>
Requirements</b>:</p><ul><li>
Ability and willingness to work collaboratively; maintaining cooperative and effective working relationships.</li><li>
Ability to communicate effectively orally and in writing.</li><li>
Preferred: Associate's degree with some training/exposure to education and teaching</li><li>
Competency in using technology</li><li>
Ability to report to work on a regular and punctual basis.</li><li>
An agreement with the mission statement and goals of Christel House Schools.</li></ul><p><b>
Job Tasks:</b></p><ul><li>
Assist students with assignments that reinforce learning concepts.</li><li>
Monitor individual and/or groups of students for the purpose of providing a safe and positive learning environment.</li><li>
Maintain a record of interventions and progress monitoring.</li><li>
Provide &lsquo;re-teaching&rsquo; and tutoring sessions around core instruction that was delivered by the classroom teacher.</li><li>
Implement, under the supervision of the teacher, instructional programs and lesson plans for the purpose of presenting and/or reinforcing learning concepts.</li><li>
Attend meetings and in-service presentations for the purpose of acquiring and/or conveying information relative to job functions.</li><li>
Other duties assigned.</li></ul><p><b>
What We Offer:</b></p><ul><li>
Opportunity to serve and make a huge difference in underserved students&rsquo; lives.</li><li>
Competitive salary starting at $18.00/hr or higher based on experience.</li><li>
Referral bonuses.</li></ul><p>
A complete application requires the following:</p><ul><li>
Letter of interest stating why the candidate feels his/her qualifications are a good match to those sought by CHS</li><li>
Current resume (please include email address)</li><li>
At least three (3) professional references (References should include candidates supervisor in his/her current position and most recent prior position, or student teaching supervisors)</li></ul><p><i>
Applicants should disclose any criminal arrests or convictions in the application process. A successful applicant will be required to submit to a national background check.</i></p><p><i>
Christel House Schools is an Equal Opportunity Employer.</i></p><p>
Questions? Contact Talent@chschools.org</p></div>

EL/ML Instructional Assistant at DORS South Nights (Part-Time)

Ascension

<div>Your future role at a glance:
<div><b>
Location: </b>Indy South, IN</div><div><b>
Facility: </b>Ascension St Vincent Indy South Micro Hospital</div><div><b>
Department/Specialty:</b> Emergency Department</div><div><b>
Schedule: </b>Full time, Nights with weekend and holiday rotations</div>
How you'll make an impact in this role:
<div>
Provide direct nursing care in accordance with established policies, procedures and protocols of the healthcare organization.</div><ul><li>
Implement and monitor patient care plans. Monitor, record and communicate patient condition as appropriate.</li><li>
Serve as a primary coordinator of all disciplines for well-coordinated patient care.</li><li>
Note and carry out physician and nursing orders.</li><li>
Assess and coordinate patient's discharge planning needs with members of the healthcare team.</li></ul>
What minimum qualifications you'll need:
<div>
Licensure / Certification / Registration:</div><div></div><div><br>
Required Credential(s):</div><ul><li>
Advanced Life Support obtained within 6 Months (180 days) of hire date or job transfer date. American Heart Association or American Red Cross accepted.</li><li>
BLS Provider obtained within 1 Month (30 days) of hire date or job transfer date. American Heart Association or American Red Cross accepted.</li><li>
Registered Nurse credentialed from the Indiana Board of Nursing obtained prior to hire date or job transfer date.</li></ul><div>
Preferred Credential(s):</div><ul><li>
Pediatric Advanced Life Support. American Heart Association or American Red Cross accepted.</li></ul><div>
Education:</div><ul><li>
Diploma from an accredited school/college of nursing OR Required professional licensure at time of hire.</li></ul>
What additional requirements you'll need:
<ul><li>1+ years of RN experience and previous ED experience is required</li></ul>
Life at Ascension: Where purpose meets opportunity:
<div>
Ascension is a leading nonprofit Catholic health system with a culture and associate experience grounded in service, growth, care and connection. We empower our 99,000+ associates to bring their skills and expertise every day to reimagining healthcare, together. Recognized as one of the Best 150+ Places to Work in Healthcare and a Military-Friendly Gold Employer, you&rsquo;ll find an inclusive and supportive environment where your contributions truly matter.</div>
Equal employment opportunity employer:
<p><b><i>
Equal employment opportunity employer
</i></b></p><p>Ascension provides Equal Employment Opportunities (EEO) to all associates and applicants for employment without regard to race, color, religion, sex/gender, sexual orientation, gender identity or expression, pregnancy, childbirth, and related medical conditions, lactation, breastfeeding, national origin, citizenship, age, disability, genetic information, veteran status, marital status, all as defined by applicable law, and any other legally protected status or characteristic in accordance with applicable federal, state and local laws. For further information, view the EEO Know Your Rights (English) poster or EEO Know Your Rights (Spanish) poster.</p><p><b><i>
Fraud prevention notice
</i></b></p><p>Prospective applicants should be vigilant against fraudulent job offers and interview requests. Scammers may use sophisticated tactics to impersonate Ascension employees. To ensure your safety, please remember: Ascension will never ask for payment or to provide banking or financial information as part of the job application or hiring process. Our legitimate email communications will always come from an @ascension.org email address; do not trust other domains, and an official offer will only be extended to candidates who have completed a job application through our authorized applicant tracking system.</p><p><b><i>
E-Verify statement
</i></b></p><div>Employer participates in the Electronic Employment Verification Program. Please click here for more information.</div><br>
<div></div>
Benefits:
<div>
Paid time off (PTO)<br>
Various health insurance options &amp; wellness plans<br>
Retirement benefits including employer match plans<br>
Long-term &amp; short-term disability<br>
Employee assistance programs (EAP)<br>
Parental leave &amp; adoption assistance<br>
Tuition reimbursement<br>
Ways to give back to your community</div><div></div><div><i><br>
Benefit options and eligibility vary by position. Compensation varies based on factors including, but not limited to, experience, skills, education, performance, location and salary range at the time of the offer.</i></div></div>

Registered Nurse Freestanding ED

Community Health Network

<div><div><div><div>Category</div>
<div>Patient Support</div>
</div><div><div>Job Family</div>
<div>Transporter</div>
</div><div><div>Department</div>
<div>Transporters</div>
</div><div><div>Schedule</div>
<div>Part-time</div>
</div><div><div>Facility</div>
<div>Community Hospital South</div>
<div><div><div>1402 E County Line Rd</div><br>
<div>Indianapolis</div>, <div>IN</div> <div>46227</div><br>
<div>United States</div></div></div>
</div><div><div>Shift</div>
<div>Day Job</div>
</div><div><div>Hours</div>
<div>Every Saturday and Sunday from 6:00am-6:30pm; with flexibility to pick up additional hours with advanced notice.</div><br>
</div></div><p></p><div><div><p><b>Join Community</b></p>
<p>Community Health Network was created by our neighbors, for our neighbors. Over 60 years later, &ldquo;community&rdquo; is still the heart of our organization. It means providing our neighbors with the best care possible, backed by state-of-the-art technology. It means getting involved in the communities we serve through volunteer opportunities and benefits initiatives. It means ensuring our dedicated caregivers can learn and grow to stay at the top of their fields and to better serve our patients. And above all, it means exceptional care, simply delivered &mdash; and we couldn&rsquo;t do it without you.</p>
<b>Make a Difference</b>
<ul><li>The Transportation Aide and Patient Lift Team Member works individually and/or in a team of no less than two.</li>
<li>Performs and assists with transportation and/or patient lifts and other patient handling maneuvers, as delegated by the Manager or Director, in collaboration with a Registered Nurse</li>
</ul>
<p><b>Exceptional Skills and Qualifications</b></p>
<ul>
<li>Healthcare experience as a Transporter, Certified Nursing Assistant, Patient Support Tech, Emergency Medical Tech, etc.</li>
<li>High school diploma or GED equivalent.</li>
<li>Understanding of patient focused care.</li>
<li>Relationship skills.</li>
<li>Proficiency in oral and written communication.</li>
<li>Ability to critically think, work semi-independently, multi-task, and work under pressure.</li>
<li>Ability to demonstrate competence in body mechanics and proper lifting technique.</li>
</ul><b>Additional Qualifications</b>
<ul><li>Must have the ability to stand for extended periods of time.</li>
<li>Must have the ability to walk, climb/descend stairs, push, pull, bend, squat, and kneel without restrictions.</li>
<li>Must be able to lift, push, and pull a minimum of 75 lbs.</li>
</ul></div>
<p><b>Why Community?
</b></p><p>At Community Health Network, we build teams that deliver exceptional care through empathy, communication and collaboration. We consider ALL an integral part of the exceptional patient experience. We PRIIDE ourselves on not having employees but Caregivers. Join our Community as we make a difference in your community.</p></div></div><p></p>

Lift and Transport Partner (South)

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p>
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.</p><p></p><p>
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.</p><p></p><p>
This is an experienced individual-contributor role focused on evaluating, documenting, building and scaling GenAI and AI-powered capabilities, contributing to solution design, implementation, and production support in partnership with business partners and senior technical leaders.</p><p></p><p>
Key Responsibilities:</p><p></p><p>
Solution Development &amp; Delivery</p><ul><li>
Implement AI-powered services and application features that integrate enterprise data and systems with LLMs and ML models.</li><li>
Contribute to solution design by proposing approaches, identifying dependencies, and documenting tradeoffs and implementation plans.</li><li>
Deliver features using strong engineering practices: test automation, code review, CI/CD, and operational readiness.</li></ul><p></p><p>
GenAI Engineering Practices</p><ul><li>
Build and tune RAG pipelines (retrieval, ranking, grounding) and implement prompt patterns that improve reliability and user experience.</li><li>
Contribute to evaluation suites and regression testing to ensure quality and safety over time.</li><li>
Implement guardrails and security controls (input/output validation, policy filtering, and data protection patterns) under guidance from senior engineers.</li></ul><p></p><p>
Reliability, Observability &amp; Support</p><ul><li>
Instrument services with metrics, traces, logs, and dashboards; participate in incident response and post-incident improvements.</li><li>
Support performance and cost optimization efforts (latency, throughput, caching, and model selection).</li><li>
Follow and reinforce platform standards for deployment, versioning, monitoring, and documentation.</li></ul><p></p><p>
Collaboration &amp; Continuous Improvement</p><ul><li>
Work closely with product, design, security, and platform teams to refine requirements and deliver customer-focused outcomes.</li><li>
Mentor engineers at earlier career stages and share practical learnings with the broader AI/ML community of practice.</li><li>
Stay current on GenAI and ML platform trends; propose incremental improvements that raise quality and accelerate delivery.</li></ul><p></p><p><b>
Required Qualifications</b></p><p></p><ul><li>
5+ years of software engineering experience delivering production systems, including modern APIs and application development.</li><li>
3+ years of experience applying ML/AI concepts in real systems; GenAI exposure (LLMs, RAG, evaluation) strongly preferred.</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><p></p><ul><li>
Proficiency in backend engineering (APIs, services) and comfort contributing across the stack when needed.</li><li>
Working knowledge of LLM application development (prompting, RAG, tool calling) and evaluation practices.</li><li>
Experience with CI/CD, testing, containerization, and basic Kubernetes concepts.</li><li>
Strong debugging and operational skills; ability to improve reliability and performance based on telemetry and root cause analysis.</li><li>
Effective collaboration and communication skills across technical and non-technical stakeholders.</li></ul><p></p><p><b>
Education</b></p><p></p><ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/26/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Senior Machine Learning Engineer - Generative AI & Full-Stack Applications

Moser Consulting

<div><h1 class="jobSectionHeader"><b>About Moser</b></h1>
<p>For more than 25 years we have formed partnerships and grown through open and honest collaboration with our clients, partners, and employees. We are best known for taking great care of our clients, our dedication to creating a work environment where employees do their best work, and our deep commitment to continuous improvement. Our consultants work in a collaborative and fast-paced environment, are self-motivated, and are passionate about evolving technology. It is no accident that we are recognized as one of the Best Places to Work in Indiana for 10 consecutive years.</p>
<p>Internally, we believe in building strong teams from the top down with a focus on values in our Model-Coach-Care philosophy. Our leadership are encouraged and trained to model good practices, mentor other employees and each other, and show empathy and caring in all interactions. This is the base of our core values: Accountability, Balance, Collaboration, Focus, Integrity, Social Responsibility, Support and Transparency.</p>
<p>Moser Consulting believes in equal opportunity for all people and is committed to enabling a diverse, equitable, and inclusive culture. We foster a spirit of unity that respects the remarkable individuality of everyone's culture, history, and service.</p>
<h1 class="jobSectionHeader"><b>Description</b></h1>
<p>We are seeking an AI/ML/Data engineer with several years of technical experience building production-grade solutions. This role blends AI/ML engineering, data engineering, and software engineering to support clients across a variety of industries. You will deliver within cloud, on-prem, or hybrid environments (depending on client content) to engineer, deploy, and maintain end-to-end AI/ML systems. You will collaborate with a technical lead, engineers, analysts, and domain stakeholders while building reusable patterns and contributing to a growing Data Intelligence capability.</p>
<h1 class="jobSectionHeader"><b>Role Responsibilities</b></h1>
<p><b>Artificial Intelligence / Machine Learning Engineering:</b></p>
<ul><li>Design, implement and deploy production-grade machine learning models and systems using modern MLOps practices. Deliverables will span from classical ML to Gen AI.</li><li>
Prepare datasets, feature pipelines, evaluation scaffolding, experiment tracking, and model packaging.</li><li>
Implement model inference services, deployment workflows, and monitoring mechanisms.</li><li>
Projects may range from data ingestion and transformation to model serving and application integration.</li><li>
Responsibilities will include debugging, performance tuning, and failure analysis across data and model layers.</li><li>
Collaborate with domain experts to translate analytical requirements into highly performant ML services and reusable solution patterns.</li><li>
Implement model governance and reproducibility standards, ensuring models are versioned.</li></ul>
<p><b>Data Engineering:</b></p>
<ul><li>Build ingestion, transformation, and storage pipelines for analytical and ML workflows.</li><li>
Ensure data quality and integrity by implementing data validation and cleansing processes.</li><li>
Tasks may involve evaluating tradeoffs among tools, architectures, and modeling approaches.</li><li>
Leveraging SQL and python data tooling develop scalable, optimized ETL/ELT pipelines to ingest, transform, and load large, complex datasets from disparate sources (batch and streaming). Streamlining for low latency, high throughput and cost-efficiency.</li></ul>
<p><b>Software Engineering:</b></p>
<ul><li>Write modular, testable, and maintainable codebases that follow idiomatic patterns.</li><li>
Build APIs, services, and components that integrate models into applications.</li><li>
Use containers, CI/CD (defining, maintaining), and automated testing to ensure reliability.</li><li>
Documentation will include diagrams, reasoning, assumptions, and operational instructions.</li></ul>
<p><b>Collaboration &amp; Communication:</b></p>
<ul><li>Work closely w/ a technical lead or senior consultant to align execution with architectural direction and best practices.</li><li>
Proven ability to collaborate effectively with cross-functional teams to understand business requirements and translate them into technical solutions.</li><li>
Proven ability to foster a collaborative and positive team environment, contributing to team success.</li><li>
Proven ability to explain complex concepts to non-technical collaborators.</li><li>
Proven ability to break down requirements into clear actionable steps.</li><li>
Ability to work with clients to ensure smooth and successful implementation, delivery and deployment of AI/ML and other relevant data solutions.</li><li>
Communication and collaboration: Excellent verbal and written communication skills.</li></ul>
<h1 class="jobSectionHeader"><b>Requirements</b></h1>
<ul><li>Communication and collaboration: Excellent verbal and written communication skills.</li><li>
A solid understanding of statistical analysis, data modeling and data visualization techniques.</li><li>
Excellent time management and organizational skills.</li><li>
Advanced proficiency in SQL; expertise in performance tuning and optimization of SQL queries required.</li><li>
Strong understanding of ETL/ELT fundamentals and orchestration tools.</li><li>
Familiarity with data preprocessing, feature engineering, and model evaluation techniques.</li><li>
Proficiency in Python and SQL with strong grounding in data structures and software fundamentals.</li><li>
Strong understanding of software engineering practices including version control, testing, module design, and code clarity.</li><li>
Expertise in ML, MLOps, and applied AI in production environments.</li></ul>
<h1 class="jobSectionHeader"><b>Preferred Requirements</b></h1>
<ul><li>Bachelor's, Master's, or Ph.D. degree in Computer Science, Data Science, or a related field.</li><li>
Minimum 3 - 5 years of experience working with Machine Learning models.</li><li>
Must be able to operate effectively in secure, high-compliance, or limited-tooling environments (e.g. no code assistants, on-prem pipelines, locked-down VMs).</li><li>
Demonstrated ability to adapt quickly to new technology stacks and client-specific coding standards.</li><li>
Working knowledge of ML frameworks and libraries, such as: PyTorch, TensorFlow, and scikit-learn.</li><li>
Analytical mindset: Strong problem-solving skills, with the ability to analyze complex data and derive actionable insights.</li><li>
History of designing idempotent data workflows that can gracefully handle failures and restarts without data duplication or corruption.</li><li>
Proven expertise in at least one major cloud platform (AWS, Azure, Snowflake or GCP) utilizing services for compute, data warehousing.</li><li>
History in leverage enterprise platforms (e.g., AI Foundry or similar) to securely containerize and deploy models, ensuring robust endpoint protection, managed identity access, and compliance with organizational security standards.</li><li>
Relevant Certifications are beneficial.<br>
</li></ul>
<h1 class="jobSectionHeader"><b>Where You'll Work</b></h1>
<p>Moser has two offices in Indianapolis, IN, and one in Baltimore, MD. This position requires a hybrid/on-site work schedule. Must be able to work at least 3 days on-site at a local client.</p>
<h1 class="jobSectionHeader"><b>Salary</b></h1>
<p>At Moser Consulting, we believe in pay transparency and fairness. The $120k-$155k salary range for this role is not just a number&mdash;it's a reflection of the value we place on the skills and experience our employees bring to our team. We are committed to offering a competitive salary that aligns with the industry standards and the unique competencies you bring to our community.</p>
<h1 class="jobSectionHeader"><b>Benefits</b></h1>
<p>For over a quarter of a century, Moser Consulting has been a beacon for top-tier IT talent who excel in self-management. Our people are our greatest asset. We don't just hire the best&mdash;we welcome them into our family, connect them with opportunities, and empower them to create innovative solutions to technology challenges.</p>
<p>Our unique culture is our competitive edge. It fosters happiness, health, and low stress, even in an industry known for its demands. This is why we're consistently recognized as one of the Best Places to Work in Indiana. We provide our employees with an inspiring workspace, a fun and collaborative atmosphere, and a generous compensation package. But that's not all.</p>
<p>We also offer a suite of benefits designed to support and enrich our employees' lives. These include:</p>
<ul><li>Training Opportunities: We believe in lifelong learning and provide numerous avenues for skill enhancement.</li>
</ul><ul><li>Fully Invested 401K Plan: We help secure your future with a fully invested 401K plan.</li>
</ul><ul><li>PPO and HDHP Medical Plans: Choose the health insurance program that best fits your needs.</li>
</ul><ul><li>Employer-Paid Dental and Vision Plans: We cover dental and vision plans, ensuring our employees have access to comprehensive health care.</li>
</ul><ul><li>Onsite Fitness Center: Stay fit and healthy with our state-of-the-art fitness center.</li>
</ul><ul><li>Wellness Program: We promote a healthy lifestyle with our wellness program.</li>
</ul><ul><li>Catered Lunches: Enjoy delicious catered lunches regularly.</li>
</ul><p>At Moser Consulting, we don't just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.</p>
<p>Moser Consulting is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.</p></div>

AI Engineer / Data Engineer (Indianapolis, IN / Onsite)

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><p>
At CVS Health, our purpose is to deliver better health outcomes by meeting consumers where they are&mdash;through local care, digital experiences, and a nationwide team committed to quality, safety, and affordability.</p><p></p><p>
Our Solutions Engineering and Infrastructure organization is building an enterprise AI/ML capability that delivers reliable, responsible, and secure AI-powered platforms and solutions at Fortune 5 scale, and this role is foundational to help us develop that capability.</p><p></p><p>
This is a senior individual-contributor role, focused on identifying evaluating and documenting high-value use cases, designing and prototyping AI-powered solutions, and evolving them into secure, resilient, enterprise-ready products and platform components.</p><p></p><p>
Key Responsibilities:</p><p></p><p>
AI Solution Design &amp; Prototyping</p><ul><li>
Partner with stakeholders to identify, evaluate, document, and shape GenAI use cases (copilots, automation, decision support, and insight generation) with clear success metrics.</li><li>
Design solution architectures that integrate LLMs with enterprise systems, data sources, and tool/function calling while meeting latency and reliability expectations.</li><li>
Develop prototypes rapidly and validate them through evaluation, red-teaming, and user feedback; document tradeoffs and recommendations.</li></ul><p></p><p>
Production Engineering &amp; Enterprise Readiness</p><ul><li>
Build production-grade services and full-stack experiences (APIs, UIs, workflows) with secure authentication/authorization, audit logging, and scalable deployment patterns.</li><li>
Implement safety, privacy, and compliance controls (e.g., PHI/PII protection, prompt injection defenses, data residency constraints, and policy-based filtering).</li><li>
Instrument solutions end-to-end with metrics, traces, logs, and model/app observability; contribute to SLOs, error budgets, and operational runbooks.</li></ul><p></p><p>
Model Enablement &amp; Evaluation</p><ul><li>
Build and maintain evaluation harnesses for LLM quality, safety, and business outcomes (offline tests, golden sets, regression suites, and online experiments).</li><li>
Implement RAG pipelines (chunking, embedding, vector search, reranking) and optimize for accuracy, cost, and latency.</li><li>
Collaborate with platform teams on deployment, monitoring, drift/quality detection, and incident response for model-backed services.</li></ul><p></p><p>
Reusable Components &amp; Engineering Excellence</p><ul><li>
Contribute reusable libraries and patterns for prompt management, retrieval, tool calling, and policy enforcement.</li><li>
Participate in design reviews and code reviews; mentor senior and mid-level engineers on GenAI engineering practices.</li><li>
Continuously improve developer experience through templates, CI/CD automation, and documentation that accelerates safe adoption.</li></ul><p></p><p><b>
Required Qualifications:</b></p><p></p><ul><li>
7+ years of software engineering supporting Data or AI/ML initiatives, including building and operating production services.</li><li>
3+ years applying ML/AI in production; demonstrated hands-on GenAI delivery (LLMs, RAG, evaluation, and safety controls)</li><li>
3+ years of experience delivering solutions in high-scale, high-availability environments with strong security and compliance requirements.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><p></p><ul><li>
Strong full-stack engineering skills (backend services, APIs, and modern web application development) with a focus on reliability and security.</li></ul><ul><li>
Hands-on expertise with LLM application patterns: RAG, tool/function calling, prompt management, evaluation, and guardrails.</li><li>
Experience with Python and at least one additional backend language; familiarity with common ML libraries and serving frameworks.</li><li>
Working knowledge of containerization and Kubernetes, CI/CD, infrastructure-as-code concepts, and production observability.</li><li>
Ability to communicate clearly, influence across teams, and translate business needs into implementable technical plans.</li></ul><p></p><p><b>
Education:</b></p><ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul><p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$106,605.00 - $284,280.00<p><br>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company&rsquo;s equity award program.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 03/26/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Staff Machine Learning Engineer - Generative AI & Full-Stack Applications

Information Technology Senior Management Forum

<div><div><p>Posted Date</p>
<p>3/18/2026</p>
</div><div><p>Description</p>
<div><p>At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We&rsquo;re looking for people who are determined to make life better for people around the world.</p>
<p><b>Position:</b> <b>Data Architect, Data Foundry</b></p>
<p><b>Location:</b> San Diego, CA; San Francisco, CA; Boston, MA; Louisville, CO; Indianapolis, IN</p>
<p><b>Overview</b></p>
<p><b>Lilly Small Molecule Discovery</b> is purpose-built to create molecules that make life better for people. <b>Discovery Technology and Platforms (DTP)</b> accelerates molecule discovery by building optimized foundational platforms, streamlining lab operations through advanced technologies and data connectivity, and investing in novel capabilities.</p>
<p><b>Data Foundry</b> is a multidisciplinary team within DTP that enables AI-native drug discovery through four integrated pillars: <b>Architecture4Insight</b> (data infrastructure and scientific software), <b>Methods4Insight</b> (analytical and computational methods), <b>Automation &amp; Scale4Insight</b> (lab automation and agentic workflows), and <b>Preparedness4Insight</b> (data governance and readiness). These pillars empower every Lilly scientist to make optimal decisions by providing seamless access to data, insights, and AI-driven capabilities&mdash;serving both human scientists and autonomous AI agents.</p>
<p><b>Position Summary</b></p>
<p>We are seeking <b>Data Architects</b> at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible. You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets&mdash;serving both discovery scientists and autonomous AI agents.</p>
<p>This role is the foundation of <b>Architecture4Insight</b> . Everything the software engineering team builds&mdash;pipelines, APIs, prototypes&mdash;depends on the data models and platform architecture this team designs. You will work with deep knowledge of scientific data (chemical, biological, HTE, automation-generated) to create custom-fit solutions, then partner with <b>Tech@Lilly</b> to scale and maintain them. The role spans three focus areas depending on expertise: <b>data modeling &amp; ontologies</b> , <b>data platform &amp; lakehouse architecture</b> , and <b>knowledge graph &amp; specialized data systems</b> .</p>
<p><b>Responsibilities</b></p>
<p><b>Data Modeling &amp; Ontologies</b></p>
<ul><li>Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data that serve discovery workflows across the portfolio.</li>
<li>Define and maintain controlled vocabularies, metadata standards, and FAIR-compliant data frameworks in partnership with Preparedness4Insight.</li>
<li>Implement semantic data standards (RDF, OWL, SPARQL) and ontology engineering practices to create interoperable, machine-readable scientific data.</li>
</ul>
<p><b>Data Platform &amp; Lakehouse Architecture</b></p>
<ul><li>Design and implement data lakehouse architecture using modern platforms (Databricks, Snowflake, or equivalent), including data storage patterns, partitioning strategies, and query optimization.</li>
<li>Build and optimize ETL/ELT pipelines using Spark, dbt, or similar tools to transform raw scientific data into analytical and ML-ready formats.</li>
<li>Implement real-time and streaming data integration (Kafka, Kinesis, event-driven patterns) connecting LIMS, instruments, and lab automation systems to the data infrastructure.</li>
</ul>
<p><b>Knowledge Graph &amp; Specialized Data Systems</b></p>
<ul><li>Design and implement knowledge graphs (Neo4j, Amazon Neptune, TigerGraph) that capture molecular, target, pathway, and experimental relationships across the discovery landscape.</li>
<li>Architect specialized data solutions: array databases (TileDB) for genomics/imaging, document stores (MongoDB) for experimental records, and vector databases for embedding-based retrieval supporting ML and RAG workflows.</li>
<li>Build query and traversal patterns that enable scientists and AI agents to ask relational questions across the entire data landscape.</li>
</ul>
<p><b>Cross-Functional Partnership</b></p>
<ul><li>Partner with scientific software engineers to ensure data architectures are implementable, performant, and well-documented.</li>
<li>Collaborate with Methods4Insight to design data structures that support analytical model training, deployment, and evaluation.</li>
<li>Work with Tech@Lilly to define scaling strategies, ensure enterprise compliance, and transition data architectures to production-grade management.</li>
<li>Contribute to build-versus-buy-versus-adopt decisions by evaluating commercial and open-source data platforms against Data Foundry requirements.</li>
</ul>
<p><b>Basic Requirements</b></p>
<ul><li>B.S. or M.S. in Computer Science, Data Science, Bioinformatics, Computational Biology, Information Science, or related STEM field; Ph.D. valued for ontology and knowledge graph roles.</li>
<li>B.S. with 7+ years and M.S. with 5+ years of data architecture, data engineering, or scientific informatics' experience.</li>
<li>SQL skills and experience in multiple database paradigms (relational, graph, document, columnar, key-value).</li>
</ul>
<p><b>Preferred Qualifications</b></p>
<ul><li>Expertise in at least one of: data modeling/ontologies, data platform engineering (Databricks, Snowflake, Spark), or graph/specialized databases (Neo4j, Neptune, MongoDB).</li>
<li>Familiarity with cloud platforms (AWS, Azure, or GCP) and modern data integration patterns.</li>
<li>Understanding of scientific data types and experimental workflows in life sciences or pharma (chemical, biological, HTE data).</li>
<li>Strong communication skills with ability to translate data architecture concepts for both technical and scientific audiences.</li>
<li>Pharmaceutical or biotech research industry experience, particularly in discovery data management or research informatics.</li>
<li>Experience with semantic web technologies: RDF, OWL, SPARQL, Prot&eacute;g&eacute;, or equivalent ontology engineering tools.</li>
<li>Hands-on experience with graph databases (Neo4j, Neptune, TigerGraph) and knowledge graph design patterns for scientific data.</li>
<li>Data lakehouse architecture experience: Databricks (Delta Lake, Unity Catalog), Snowflake, or equivalent; ETL/ELT with Spark, dbt.</li>
<li>Experience with streaming/real-time data platforms (Kafka, Kinesis, Flink) and event-driven architectures.</li>
<li>Familiarity with LIMS, ELN systems (e.g., Benchling), and laboratory instrument data integration.</li>
<li>Experience with vector databases (Pinecone, Weaviate, pgvector) and embedding-based retrieval for ML/RAG applications.</li>
<li>Array database experience (TileDB, Zarr) for genomics, imaging, or high-dimensional scientific data.</li>
<li>Experience with bioinformatics data formats (FASTA, BAM/CRAM, VCF) and biological sequence databases; familiarity with NGS data pipelines and proteomics data management.</li>
<li>FAIR data principles implementation experience and Data Readiness Level frameworks.</li>
<li>Scientific data standards and controlled vocabularies in chemistry (InChI, SMILES) or biology (Gene Ontology, UniProt, pathway databases such as Reactome or KEGG).</li>
</ul>
<p>Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form ( https://careers.lilly.com/us/en/workplace-accommodation ) for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.</p>
<p>Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.</p>
<p>Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women&rsquo;s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.</p>
<p>Actual compensation will depend on a candidate&rsquo;s education, experience, skills, and geographic location. The anticipated wage for this position is</p>
<p>$132,000 - $193,600</p>
<p>Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly&rsquo;s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.</p>
<p>#WeAreLilly</p></div>
</div><div><p>Salary</p><p>
132,000.00 - 193,600.00 Annual</p></div></div><div></div>

Data Architect, Data Foundry

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