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machine learning engineer

CVS Health

<div>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.
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.
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.
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.
Key Responsibilities:
AI Solution Design &amp; Prototyping<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>
Production Engineering &amp; Enterprise Readiness<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>
Model Enablement &amp; Evaluation<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>
Reusable Components &amp; Engineering Excellence<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>
Required Qualifications:<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>
Preferred Qualifications<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>
Education:<ul><li>
Bachelor&rsquo;s degree or equivalent experience (High School Diploma and 4 years relevant experience)</li></ul>
Pay Range
The typical pay range for this role is:
$106,605.00 - $284,280.00 
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. 
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.
Great benefits for great people
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:<ul><li>
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan.</li><li>
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</li><li>
Benefit solutions that address the different needs and preferences of our colleagues 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.</li></ul>
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 03/26/2026
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</div>

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

Moser Consulting

<div><h1 class="jobSectionHeader">About Moser</h1>
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.
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.
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.
<h1 class="jobSectionHeader">Description</h1>
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.
<h1 class="jobSectionHeader">Role Responsibilities</h1>
Artificial Intelligence / Machine Learning Engineering:
<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>
Data Engineering:
<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>
Software Engineering:
<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>
Collaboration &amp; Communication:
<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">Requirements</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">Preferred Requirements</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. 
</li></ul>
<h1 class="jobSectionHeader">Where You'll Work</h1>
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.
<h1 class="jobSectionHeader">Salary</h1>
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.
<h1 class="jobSectionHeader">Benefits</h1>
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.
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.
We also offer a suite of benefits designed to support and enrich our employees' lives. These include:
<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>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.
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.</div>

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

Envita Solutions

<div>Envita Solutions, formerly known as Heritage Interactive Services, is a leading total waste management partner. The company is dedicated to fostering a healthier planet by transforming complex waste challenges into sustainable solutions. Headquartered in Indianapolis, Indiana, Envita Solutions operates in the U.S., Mexico, and Canada, has over 300 employees, and a network of over 3,000 supplier partners. A division of The Heritage Group, Envita Solutions is part of a portfolio of more than 30 companies specializing in heavy construction and materials, environmental services, and specialty chemicals. With unique access to research and development and a leading hard tech corporate venture capital portfolio, Envita Solutions is at the forefront of waste and climate challenge innovation.
At Envita, our guiding principles are the foundation of our company. Our vision is to foster a healthier planet by transforming complex waste challenges into sustainable solutions. We exist to protect human health and the environment and build a safer, more sustainable world. We believe in creating enduring value, building long-term relationships and mutual trust, betting on our people, keeping our eyes open for opportunity, tackling the big problems, and doing the right thing-always. 
Envita Solutions is seeking a Senior AI/ML Engineer (Data Science &amp; Automation) to lead the design, development, and deployment of scalable AI/ML and automation solutions that enhance sustainability, efficiency, and decision intelligence. This role blends deep technical expertise with leadership, mentorship, and a strong focus on production impact. You'll play a key role in shaping Envita's AI strategy and data architecture. 
 
Essential Functions<ul><li>
Design and implement scalable data pipelines and ML architectures for production environments.</li><li>
Develop and deploy machine learning and generative AI models that drive measurable operational improvements.</li><li>
Build workflow automation solutions (APIs, UiPath, Power Automate) that improve efficiency and accuracy.</li><li>
Integrate models into cloud-based production systems (Azure ML, Databricks, AWS SageMaker, or GCP Vertex AI).</li><li>
Apply modern ML techniques, including NLP, deep learning, and predictive analytics.</li><li>
Partner with business and technical leaders to identify and prioritize high-value AI/ML opportunities.</li><li>
Define standards for data architecture, ML operations (MLOps), and model governance.</li><li>
Champion best practices for responsible and ethical AI in sustainability-focused operations.</li><li>
Mentor and coach junior data scientists and engineers, promoting excellence and innovation.</li></ul><ul><li>
Additional duties and responsibilities as assigned, including but not limited to continuously growing in alignment with the Company&rsquo;s core values, competencies, and skills.</li></ul> 
Education Qualifications<ul><li>
Required Bachelor's Degree in Computer Science, Data Science, AI/ML, or related field (Master&rsquo;s/PhD preferred).
</li></ul> 
Experience Qualifications<ul><li>
7+ years of experience in data science, AI/ML engineering, or applied machine learning
</li><li>Proven success developing and maintaining production ML models with measurable impact
</li><li>Hands-on expertise in deep learning, NLP, generative AI, and/or computer vision.
</li><li>Strong experience with cloud platforms (Azure, AWS, or GCP) and pipeline orchestration (Databricks, Airflow, or similar).
</li><li>Prior exposure to sustainability, logistics, or enterprise operations is a plus.
</li></ul> 
Skills and Abilities<ul><li>
Expert in Python and leading ML frameworks (scikit-learn, TensorFlow, PyTorch).
</li><li>Deep understanding of ML principles: supervised/unsupervised learning, deep and reinforcement learning, model evaluation.
</li><li>Familiar with workflow automation tools (UiPath, Power Automate, APIs).
</li><li>Strong communicator and mentor with the ability to translate complex ideas into actionable insights.
</li><li>Builds scalable, production-ready ML systems and fosters collaboration across teams.
</li>Operates effectively as both a builder and coach, driving continuous improvement. 
<li>
</li></ul> 
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.
#EnvitaSolutions</div>

Senior AI/ML Engineer (Data Science & Automation)

<div>
 About Moser
 
 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.
 
 
 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.
 
 
 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.
 
 Description
 
 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.
 
 Role Responsibilities
 
 
 
 Artificial Intelligence / Machine Learning Engineering:
 
 
 
 <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.Implement model governance and reproducibility standards, ensuring models are versioned.
 </li>
 </ul>
 
 
 
 Data Engineering:
 
 
 
 <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>
 
 
 
 Software Engineering:
 
 
 
 <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>
 
 
 
 Collaboration &amp; Communication:
 
 
 
 <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>
 Requirements
 <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>
 <li>
 Location: Indianapolis, IN. United States required.
 </li>
 </ul>
 Preferred Skills
 <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.
 </li>
 </ul>
 Where You'll Work
 
 You will need to be able to work a hybird/onsite schedule out of the Indianapolis, IN area. This position would sit at a client site up to 3 days a week.
 
 Salary
 
 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&rsquo;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.
 
 Benefits
 
 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&rsquo;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.
 
 
 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&rsquo;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&rsquo;s not all.
 
 
 We also offer a suite of benefits designed to support and enrich our employees&rsquo; lives. These include:
 
 <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>
 
 At Moser Consulting, we don&rsquo;t just offer jobs&mdash;we offer careers, growth, and a chance to join a thriving community. Come, be a part of our family.
 
 
 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 professional.
 
</div>

Machine Learning (ML) / Data Engineer

Salesforce

<div>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
Job Category
Software Engineering
Job Details
About Salesforce
Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
Salesforce&rsquo;s Employee Success (ES) Product Management team is advancing AI-driven data initiatives to expand our data capabilities across all ES functions. A key priority is developing a robust data and AI foundation to support innovation, automation, and data-driven decision-making.
We are seeking a highly skilled Lead Data Engineer with expertise in data engineering, AI, and machine learning, along with experience in API development. Familiarity with Salesforce Data360 and Agentforce is a plus.
In this role, you will build data pipelines, metrics, analytics solutions, and Agentic AI solutions used by employees globally. You will partner with business teams to translate requirements into technical solutions, integrate data from multiple sources, and develop automated pipelines that generate actionable insights.
Responsibilities
<ul><li>Lead design, development, and optimization of data pipelines to support analytics, AI models, generative AI applications, and business intelligence.
</li><li>Architect and maintain APIs for seamless data exchange between systems, including Salesforce Data360 and Agentforce, enabling AI-powered workflows.
</li><li>Leverage AI and machine learning to enhance data processing, predictive analytics, and automation.
</li><li>Implement and integrate large language models (LLMs) and generative AI solutions to improve data insights, automated decision-making, and user experiences.
</li><li>Provide technical leadership in Salesforce technologies, including APEX code development, Salesforce Flow, and integrations with external data sources and AI services.
</li><li>Collaborate cross-functionally to implement data governance, security, and compliance best practices.
</li><li>Optimize data storage, processing, and retrieval in cloud environments, ensuring performance and scalability.
</li><li>Provide guidance on Salesforce Data360 integration and utilization.
</li><li>Partner with ES teams to define metrics, build proof-of-concepts, and document functional and technical requirements.
</li><li>Design and develop repeatable automation frameworks supporting AI model training and inference.
</li><li>Lead review and validation of logical and physical design to align with solution architecture.
</li><li>Collaborate with data scientists to support data needs and deploy scalable models.
</li><li>Lead and collaborate with global teams across North America, EMEA, and APAC.
</li></ul>Required Qualifications
<ul><li>Bachelor&rsquo;s degree in Computer Science or relevant work experience; 10+ years in data engineering, data modeling, machine learning, automation, and analytics. People Analytics experience is a plus.
</li><li>Proficiency with SQL, Python, Informatica IICS, and dbt.
</li><li>Strong expertise in AI/ML, including generative AI, LLMs, NLP, and AI model deployment.
</li><li>Experience designing AI-driven solutions, including RAG, vector databases, and embedding models.
</li><li>Proficiency in SQL, Bash, and Python scripting.
</li><li>Experience with orchestration tools (e.g., Apache Airflow) and version control (GIT).
</li><li>Solid understanding of data warehousing and data modeling concepts.
</li><li>Experience integrating systems through APIs.
</li><li>Experience with AWS technologies (EC2, Aurora, Lambda, S3) preferred.
</li><li>Experience with Salesforce Data360 and Snowflake or similar platforms preferred.
</li><li>Deep understanding of data engineering concepts, database design, tools, and architecture.
</li><li>Experience collaborating with Analytics/Data Science teams.
</li><li>Excellent interpersonal skills; team-first mentality.
</li><li>Self-starter, highly motivated, able to adapt quickly to shifting priorities and solve complex problems.
</li><li>Results-oriented, able to work with minimal supervision.
</li></ul>Unleash Your Potential
When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best , and our AI agents accelerate your impact so you can do your best . Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
Posting Statement
Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.</div>

Employee Success Lead Data Engineer

Lilt- Lega Italiana per la Lotta contro i Tumori

<div><h1 class="jobSectionHeader">About LILT</h1>
AI is changing how the world communicates &mdash; and LILT is leading that transformation.
We're on a mission to make the world's information accessible to everyone, regardless of the language they speak. We use cutting-edge AI, machine translation, and human-in-the-loop expertise to translate content faster, more accurately, and more cost-effectively without compromising on brand, voice, or quality.
At LILT, we empower our teammates with leading tools, global collaboration, and growth opportunities to do their best work. Our company virtues&mdash;Work together, win together; Find a way or make one; Quicker than they expect; Quality is Job 1&mdash;guide everything we do. We are trusted by Intel Corporation, Canva, the United States Department of Defense, the United States Air Force, ASICS, and hundreds of global Enterprises. Backed by Sequoia, Intel Capital, and Redpoint, we&rsquo;re building a category-defining company in a $50B+ global translation market being redefined by AI.
We are looking for a curious and detail-oriented Customer Support Engineer to help our linguists and platform customers get the most out of LILT. You will be the first line of support for platform users, evaluating incoming requests, resolving what you can, and routing what you cannot to the right team.<h1 class="jobSectionHeader">
What You Will Do</h1><ul><li>
Platform support: Assist linguists and platform-only customers with day-to-day platform questions, including running jobs, opening and processing files, and navigating the LILT interface.</li><li>
Bug triage: Investigate and reproduce reported errors, filtering and documenting bugs clearly before escalating to the Engineering team. Communicating feature requests to Product.</li><li>
Queue management: Handle incoming support requests in a timely manner, meeting SLAs and keeping customers informed throughout.</li><li>
Product enhancement requests: Document and relay frequent customer pain points or feature suggestions to drive ongoing platform and process improvements.</li></ul><h1 class="jobSectionHeader">
Skills and Experience</h1>
Localization tooling is a niche. If your background is technically similar but not an exact match, we still want to hear from you!<ul><li>
Between 1-3 years of experience in customer support, localization support, or similar customer-facing roles.</li><li>
Comfortable working with technical products and learning new tools quickly.</li><li>
Strong written and verbal communication skills so you can explain technical difficulties clearly to both end users and technical administrators.</li><li>
An analytical mindset where you dig into complications methodically and know when to escalate.</li><li>
Required expertise in the following:<ul><li>
SQL &amp; Database Management
</li><li>Google Cloud Platform (GCP)</li><li>
REST API</li><li>
Yarn for package management</li></ul></li><li>
Nice to have expertise in the following:<ul><li>
Network (Browse debugging tools)</li><li>
Familiarity with Datadog</li><li>
Github</li><li>
Authentication and SSO troubleshooting</li></ul></li></ul>
Bachelor&rsquo;s degree or equivalent experience preferred; Computer Science, Linguistics, or a related field is a plus but not required.<h1 class="jobSectionHeader">
Our Story</h1>
Our founders, Spence and John met at Google working on Google Translate. As researchers at Stanford and Berkeley, they both worked on language technology to make information accessible to everyone. While together at Google, they were amazed to learn that Google Translate wasn&rsquo;t used for enterprise products and services inside the company.The quality just wasn&rsquo;t there. So they set out to build something better. LILT was born.
LILT has been a machine learning company since its founding in 2015. At the time, machine translation didn&rsquo;t meet the quality standard for enterprise translations, so LILT assembled a cutting-edge research team tasked with closing that gap. While meeting customer demand for translation services, LILT has prioritized investments in Large Language Models, human-in-the-loop systems, and now agentic AI.
With AI innovation accelerating and enterprise demand growing, the next phase of LILT&rsquo;s journey is just beginning.<h1 class="jobSectionHeader">
Our Tech</h1>
What sets our platform apart:<ul><li>
Brand-aware AI that learns your voice, tone, and terminology to ensure every translation is accurate and consistent</li><li>
Agentic AI workflows that automate the entire translation process from content ingestion to quality review to publishing</li><li>
100+ native integrations with systems like Adobe Experience Manager, Webflow, Salesforce, GitHub, and Google Drive to simplify content translation</li><li>
Human-in-the-loop reviews via our global network of professional linguists, for high-impact content that requires expert review</li></ul><h1 class="jobSectionHeader"> 
LILT in the News</h1><ul><li>
Featured in The Software Report&rsquo;s Top 100 Software Companies!</li><li>
LILT makes it onto the Inc. 5000 List.</li><li>
LILT&rsquo;s continues to be an intellectual powerhouse, holding numerous patents that help power the most efficient and sophisticated AI and language models in the industry.</li><li>
Check out all our news on our website.</li></ul>
Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy.
At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including r&eacute;sum&eacute; screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com.
LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual&rsquo;s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.</div>

Customer Support Engineer

Infosys

<div>Infosys is seeking an AI Principal Architect. In this role, you will lead the design and implementation of AI-driven product capabilities across multiple domains like Aero, Manufacturing, Retail, Finance etc. using both Traditional &amp; Generative AI + Machine Learning. The role involves defining architecture, guiding development, and enabling innovation across AI/ML, LLM, RAG, and Agentic AI use cases. The ideal candidate combines strong technical depth with product mindset, collaboration, and leadership. The candidate should have technical consulting capabilities, Solutioning acumen, Domain knowledge on any of the industries where GEN AI is applied. Candidate should be able to conduct value stream workshops in discovering the AI implementation scope and able to create architecture and detailed solutions. Candidate should have excellent communication skills. 
 
Required Qualifications 
Candidates can be located in Indianapolis, IN or Richardson, TX or Raleigh, NC or Phoenix, AZ. This position will require travel to project locations. 
Bachelor&rsquo;s degree or foreign equivalent required from an accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education. 
At least 11 years of overall IT experience. 
Strong foundation in NLP, and LLM-based architectures. 
Familiarity with machine learning, deep learning (Strong knowledge is an added advantage) 
Hands-on expertise with Python, TensorFlow, PyTorch, LangChain, LangGraph/CrewAI/AutoGen, Hugging Face, and MLflow. 
Experience with cloud AI ecosystems &mdash; AWS (SageMaker, Bedrock), Azure (AI Studio, OpenAI), or GCP (Vertex AI). GraphRAG 
Experience in Foundation models, Codex tool plugins, New Coding tools (Cursor, Devin) 
Knowledge of vector databases (e.g., Pinecone, Weaviate, FAISS, MILVUS) and RAG pipelines. 
Familiarity with containerization (Docker, Kubernetes) and MLOps workflows. 
Exposure to prompt engineering, fine-tuning, evaluation, and responsible AI practices. 
Understanding of data engineering, model observability, and AI governance. 
Key Responsibilities will include: 
<ul><li>Architect and deliver scalable GenAI solutions across data, model, and application layers.</li><li>Define reference architectures, reusable patterns, and best practices for AI integration into products.</li><li>Design and operationalize LLM, RAG, Copilot, and Agentic AI workflows.</li><li>Familiarity with ML and able to integrate AI/ML solutions</li><li>Establish MLOps and GenAIOps pipelines for model lifecycle management, monitoring, and governance.</li><li>Collaborate with product, data, and engineering teams to translate business needs into AI-enabled features.</li><li>Lead PoCs and innovation initiatives to evaluate emerging frameworks and technologies.</li><li>Mentor teams on AI engineering, prompt design, and scalable deployment practices.</li><li>Support pre-sales and customer discussions to define solution approaches and architecture options.</li><li>Familiarity of a Product development Value chain in a domain.
</li></ul> 
Candidates authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role now or in the future. 
 
Preferred Qualifications: 
Strong analytical, problem-solving, and communication abilities. 
Collaborative mindset with ability to work across product, engineering, and data teams. 
Thought leadership in driving AI adoption, innovation, and best practices. 
Experience supporting AI CoE initiatives and customer engagements. 
 
The job entails sitting as well as working at a computer for extended periods of time.
 
Should be able to communicate by telephone, email or face to face. Travel may be required as per the job requirements.</div>

AI Principal Architect

Explore 115+ Machine learning engineer in Indianapolis this March. Find roles across top companies and apply now to boost your career.