Machine Learning Engineer Remote Jobs in Indiana (US)
This page tracks remote machine learning engineer openings that are location-eligible for Indiana.
This page tracks remote machine learning engineer openings that are location-eligible for Indiana.
Open jobs
3,059
Hiring companies this week
8
Salary sample
$50,000 - $216,700
Jobs added last hour
0
3059 Jobs
1627 Companies
- Design and implement AI-driven workflows that generate actionable, human-directed insights. - Build and optimize LLM-powered systems for summarization, recommendation, classification, and orchestration. - Implement agentic AI patterns that operate under explicit human guardrails and approval flows. - Translate unstructured data into structured Action Points™ aligned with user goals. - Develop and maintain prompt architectures and evaluation frameworks for consistent AI output quality. - Architect and develop semi-autonomous AI agents with mandatory human-in-the-loop control points, safety guardrails, and review checkpoints. Voice to Text - Design and implement AI-driven voice workflows that generate actionable, human-directed insights. - Architect real-time speech-to-text pipelines for AI control, command execution, and Action Point generation. - Implement low-latency voice ingestion using Azure Speech SDK for real-time transcription, intent detection, and multilingual support. - Ensure voice inputs are securely processed, auditable, and aligned with human authorization and approval flows. - Translate spoken input into structured, human-directed Action Point that govern downstream AI agents. Integration & Deployment - Deploy AI services using FastAPI and integrate them securely with backend systems. - Collaborate with frontend and backend engineers to expose AI capabilities via secure APIs. - Ensure AI systems scale reliably in cloud environments (Azure-based). Performance, Ethics & Governance - Optimize inference latency, throughput, and cost efficiency. - Implement observability, logging, and monitoring for AI workflows. - Apply responsible AI principles: transparency, auditability, and human override by design.
A trusted source of fast, flexible funding for small businesses.
• Design, build, and operate the online feature store — the real-time serving layer that delivers ML features to production models with low latency and strong consistency guarantees • Build and maintain data pipelines (batch and streaming) that compute, validate, and publish features from source systems into the online and offline stores • Work on the data models and Postgres schemas that back real-time feature serving, optimizing for query performance, freshness, and scale • Act as a technical leader for feature store infrastructure; help drive enhancements to quality, scalability, reliability, and observability for the systems ML models depend on • Partner closely with our Data Science, Analytics Engineering, Product Management, and Application Development teams to translate business requirements into production-grade engineering solutions • Contribute to mentoring for junior engineers • Contributing to best practices and raising the bar through thoughtful code reviews and contributions to technical design discussions
• Design, develop, optimize and deploy ML models, including large language models, for various natural language processing tasks. • Implement and maintain training pipelines, leveraging distributed training and optimizing for performance and efficiency. • Collaborate with cross-functional teams to gather requirements, define model architectures and iterate on model development. • Conduct model evaluations, performance analysis, and optimization to improve model accuracy and reduce biases. • Stay up-to-date with the latest research and advancements in the field of natural language processing, multimodal signals, and large language models. • Contribute to the development of best practices, guidelines, and ethical AI principles for responsible ML development and deployment.
Role Description DreamWorks is seeking a highly collaborative AI Architect who will be a hands-on technical leader assistive across multiple teams aimed to provide results to both technical and creative departments. This role involves identifying, designing, and delivering AI-powered agentic architecture that eliminates the repetitive, manual, low-creativity tasks that pull artists and production management away from their craft, while maintaining high operational availability to ensure production systems run reliably. An ideal candidate should be an adventurous, growth-minded problem solver who thrives in collaborative environments, values transparency and trust, and possesses a deep passion for leveraging technology to empower artists and storytellers. If you believe the best technology disappears into the pipeline and lets artists focus on what only humans can do, join us in #livingthedream and #doingyourdreamwork! - Collaborate and advise on next-generation AI-assisted agentic workflows strategy alongside product owners, developers and creatives. - Design and own the architecture for AI-powered frameworks and automation across the entire Studio pipeline and platforms. - Define the end-to-end architecture for ingestion, processing, and routing of operational telemetry (metrics, logs, traces). - Integrate solutions with popular industry DCC tools. - Prototype solutions for high-friction tasks: asset tagging, scene prep, render queue management, shot setup, and versioning. - Define technical standards and integration patterns for AI tooling across departments and shows. - Evaluate and select AI frameworks, foundation models, and automation technologies for creative production and operational stability. - Build and maintain a library of reusable AI components and automation patterns. - Partner with platform, systems and security teams to monitor model drift, system latency, and system security. - Write, test, and deploy production-ready tools that run reliably inside active show pipelines. - Develop reference implementations that set the canonical pattern for future pipeline AI work. - Partner with engineers and TDs to fold automation into existing artist-facing toolsets. - Maintain and iterate on deployed tools based on artist feedback and production data. - Drive adoption across both technical and creative departments so tools are understood, trusted, and used. - Create lightweight training and documentation for artists and engineers. - Establish metrics for automation impact and report results to studio leadership on a regular cadence. - Champion a culture of continuous improvement and surface new automation opportunities as workflows evolve. Qualifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - 10+ years building production systems, with 2+ years building AI/ML systems for real workflows. - Hands-on experience deploying enterprise software in AI, data, or integration environments. - Expertise with containerization, orchestration, Python, TypeScript, React, and AI frameworks such as LangGraph, Spring AI and MCP. - Deep understanding of LLM model integration and tuning. - Experience with designing automation that reduces manual work in complex, multi-stakeholder environments. - Proven ability to influence senior engineers without authority and to be the person others learn from. - History of building and supporting durable artifacts: frameworks, templates, training, open source that extend to other projects. - Excellent communication skills and the ability to translate fluently between artists, production management, and engineers. - Genuine passion for animation, storytelling, or creative production. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-NBCUniversal worksite, most commonly an employee’s residence. Requirements - 2+ years in a Principal, Staff, or Lead role responsible for AI or pipeline automation, ideally in a creative studio. - Strong understanding of the animation production pipeline, departmental workflows, and industry-standard digital content creation (DCC) software. - Familiarity with animation frameworks and standards such as USD, Autodesk Flow Production Tracking and Jira. - Experience measuring and reporting the productivity impact of engineering tooling investments. - Stays current with AI trends and emerging technologies. - Fully Remote: This position has been designated as fully remote, meaning that the position is expected to contribute from a non-DreamWorks worksite, most commonly an employee’s residence. Benefits - Salary Range: $190,000 - $230,000 yearly
Verint is a publicly traded information technology and services company offering solutions designed to help organizations make more informed, effective, and timely decisions. Softw
Role Description The Sr. Conversational AI Consultant serves as a strategic advisor and lead consultant for customers leveraging AI-powered customer experience and operational solutions. This role partners closely with customer stakeholders, executive leaders, and internal cross-functional teams to drive successful solution adoption, optimize business processes, and deliver measurable business outcomes through strategic consulting, analytics, and technical expertise. Serving as the consulting lead on customer engagements, the Sr. Conversational AI Consultant is responsible for guiding solution strategy, business transformation initiatives, and value realization efforts while partnering with Program Managers to ensure successful execution. Principal Duties and Essential Responsibilities - Customer Consulting & Solution Optimization - Serve as the lead consultant and primary strategic advisor for customers utilizing AI-powered solutions, providing guidance throughout the customer lifecycle. - Lead the consulting workstream for customer engagements, driving solution adoption, optimization, and business transformation initiatives. - Partner with customer stakeholders to understand business objectives, operational challenges, and success criteria, recommending solutions that deliver measurable business outcomes. - Establish trusted advisor relationships with business leaders, operational stakeholders, and executive sponsors. - Facilitate discovery sessions, workshops, business reviews, and stakeholder discussions to align priorities, define success measures, and drive customer success. - Develop strategic success plans in collaboration with Program Managers, focusing on measurable business outcomes, adoption goals, and value realization. - Identify opportunities to increase solution utilization, improve operational effectiveness, and expand customer value. - AI Subject Matter Expertise - Serve as a senior subject matter expert on conversational and generative AI technologies, providing strategic guidance, industry best practices, and solution recommendations. - Lead the implementation, configuration, testing, validation, and optimization of AI-powered capabilities, including Prompt-Driven AI, Classifier-Driven AI, AI Tags, Auto QM, Advanced Sentiment Models, Trending Topics, and related technologies. - Assess customer processes, workflows, and operational practices to identify opportunities for automation, efficiency gains, quality improvement, and enhanced customer outcomes. - Advise customers on AI adoption strategies, governance considerations, operational readiness, and emerging technology capabilities. - Provide guidance on workforce optimization practices and customer experience improvement strategies when applicable. - Analytics & Business Insights - Analyze operational, customer experience, and solution performance data to identify trends, risks, opportunities, and strategic recommendations. - Develop and deliver executive-level reports, dashboards, presentations, business reviews, and value realization assessments that communicate business impact. - Define, establish, and monitor key performance indicators (KPIs), benchmarks, and success measures aligned with customer objectives. - Translate complex data into actionable insights that support decision-making and drive continuous improvement. - Problem Resolution & Cross-Functional Collaboration - Lead the investigation and resolution of complex business and technical issues through root cause analysis, risk assessment, and strategic problem-solving. - Serve as an escalation point for complex customer issues, ensuring timely resolution and maintaining customer confidence. - Partner with Program Managers to align consulting activities with overall program objectives and customer success goals. - Collaborate with Product Management, Engineering, Support, Customer Success, and Professional Services teams to address customer challenges and identify opportunities for product and process improvement. - Provide consulting leadership and subject matter expertise across customer engagements and internal initiatives. - Customer Success & Continuous Improvement - Drive customer success through recommendations that increase adoption, utilization, and business value. - Leverage customer feedback, performance data, and industry trends to optimize outcomes. - Influence customer strategies through data-driven insights and best practices. - Document recommendations, engagement outcomes, and lessons learned to support knowledge sharing. - Manage multiple customer engagements while maintaining high customer satisfaction. - Contribute to consulting best practices, methodologies, and reusable assets. Qualifications - Bachelor's degree in Business, Computer Science, Information Systems, Engineering, or a related field, or an equivalent combination of education and practical experience. - Minimum of 7 years of experience in customer-facing consulting, solution consulting, professional services, technical consulting, application consulting, or related advisory roles. - Demonstrated experience leading complex customer engagements and delivering successful business outcomes. - Strong understanding of AI-powered technologies, including prompt-based AI, classifier-based AI, conversational AI, and related automation technologies. - Proven ability to act as a trusted advisor and influence stakeholders across multiple levels of an organization. - Strong analytical, problem-solving, and troubleshooting skills. - Experience developing executive presentations, business reviews, reports, dashboards, and actionable business insights. - Excellent verbal and written communication skills. - Strong presentation, workshop facilitation, and stakeholder management skills. - Ability to collaborate effectively across cross-functional teams and influence without direct authority. - Demonstrated ability to independently manage multiple priorities and customer engagements. - Successful completion of a background screening process including, but not limited to, employment verifications, criminal search, OFAC, SS Verification, as well as credit and drug screening, where applicable and in accordance with federal and local regulations. Preferred Requirements - Experience supporting contact center operations or customer experience environments. - Experience with Workforce Management (WFM) solutions, preferably Calabrio or Verint Solution. Benefits - 2025 Benefits Offering
Bringing peace of mind through better health to our customers and communities
Role Description We’re hiring a Senior AI Workflow Engineer to help drive this work within Commercial Finance. In this role, you’ll be embedded directly with our finance teams (including underwriting) to help them imagine what’s possible beyond today’s tooling. - Experience with Generative AI, LLM integration, or agent framework - Understanding of APIs, orchestration, and integration patterns - Proficiency in Python and associated AI / ML libraries and frameworks - Experience in healthcare (other payers, hospital systems, health tech companies) and/or experience working with finance teams If you’re inspired by our mission, we’d love to hear from you! Notes: - While this is a fully remote role, a final onsite interview at our Chattanooga, TN, headquarters will be required. - Sponsorship is not available for this role. Qualifications - Bachelor’s degree in STEM (Science, Technology, Engineering or Math) or related field or equivalent work experience required. Master’s or PhD degree is a plus. - 4+ years software engineering experience including automation pipelines or an equivalent combination of education, training, and demonstrated skills. - Strong proficiency in Python; experience with cloud platforms. - Understanding of APIs, orchestration, and integration patterns. - Experience with Generative AI, LLM integration, or agent frameworks. - Strong communication and stakeholder-collaboration skills. Requirements - Advanced proficiency in Python and associated AI/ML libraries and frameworks. - Deep experience with LLMs, NLP, and GenAI frameworks (LangChain, HuggingFace, LlamaIndex). - Familiarity with containerization (Docker, Kubernetes) and microservices architecture. - Basic analytical and problem-solving skills. - Good verbal and written communication skills. Ability to document work clearly. - Strong business acumen and ability to translate strategic priorities into technical requirements. - Highly organized, reliable, capable of managing multiple complex tasks, demonstrating an exceptional work ethic and strategic thinking. Company Description
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Software Engineer is responsible for assisting in developing and designing a product that Home Depot customers and associates will love. As a Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Software Engineers may be involved in product configuration, security, resilience, performance tuning and production monitoring. - 60% Delivers and Executes: Assists in developing, testing, deploying, and maintaining software; Follows best practices established by the organization and participates in improvement conversations; Consistently helps the team achieve results, even under tough circumstances. - 20% Learns and Grows: Learns through successful and failed experiments when tackling new problems; Actively seeks ways to grow and be challenged using both formal and informal development channels. - 20% Plans and Aligns: Builds partnerships and works collaboratively with others to meet shared objectives; Collaborates with other team members in agile processes; Relates openly and comfortably with diverse groups of people. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Requirements - Exposure to AI-assisted development tools (e.g., GitHub Copilot or similar) and willingness to develop fluency with evolving AI tooling as part of standard practice. - Exposure to an object-oriented programming language (preferably Java). - Exposure to source code version control. - Exposure to Relational or noSQL database technology. - Exposure to cloud computing techniques. - Exposure to CI/CD tools. - Exposure to microservice-based architecture. Benefits - Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Company Description For California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents: The pay range for this position is between $50,000.00 - $130,000.00.
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Staff Software Engineer is responsible for leading a team of engineers building and designing a product that our customers and associates love. As a Staff Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Staff Software Engineers will assist in product and tool selection, configuration, security, resilience, performance tuning and production monitoring. Staff Software Engineers contribute to foundational code elements that can be reused as well as architectural diagrams and other product-related documentation. As a Staff Software Engineer, you will be a core player on the product team and are expected to build and grow the skillsets of the more junior Engineers. Key Responsibilities - 50% Delivery and Execution: - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide. - Takes a broad view when approaching issues; using a global lens. - Consistently achieves results, even under tough circumstances. - Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production. - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. - 10% Learns and Grows: - Actively seeks ways to grow and be challenged using both formal and informal development channels. - Learns through successful and failed experiments when tackling new problems. - 20% Plans and Aligns: - Creates new and better ways for the organization to be successful. - Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Works with the Product Team to ensure user stories are developer ready, easy to understand and testable. - Collaborates with other team members in agile processes. - Relates openly and comfortably with diverse groups of people. - Adapts approach and demeanor in real time to match the shifting demands of different situations. - 20% Supports and Enables: - Fields questions from product and engineering teams. - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions. - Notes gaps on the team and provides suggestions for changes to make the team more productive. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Preferred Qualifications - Experience working with AI-assisted development tools (e.g., GitHub Copilot, Claude Code, or similar coding agents) and the ability to evaluate output quality, not just generate it. - Experience authoring or maintaining agent instruction layers, repo-level AI context files, or equivalent intent artifacts that shape AI behavior at the codebase level. - Experience mentoring engineers on responsible AI tool usage, including recognizing the limits of AI-generated code. - Experience with security frameworks for user and services authorization and authentication. - Experience with creating and executing unit, functional, destructive and performance tests. - Experience with modern debugging and root cause analysis techniques. - Experience with version control systems. - Experience in designing systems for High Availability, Disaster Recovery, Performance, Efficiency, and Security. - Exposure to developing technical roadmaps including work estimation, refactoring and modernizing legacy systems. Minimum Education - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Pay Range The pay range for this position is between $120,000.00 - $190,000.00.
Home Depot is a Fortune 500 company and the world's largest specialty retailer of home-improvement products. Founded in 1978 with its first two stores in Atlant
Role Description The Sr. Software Engineer is responsible for independently developing and consistently redesigning/refactoring a product to adapt to our customers and associates needs. As a Sr. Software Engineer, you will be part of a dynamic team with engineers of all experience levels who help each other build and grow technical and leadership skills while creating, deploying, and supporting production applications. In addition, Sr. Software Engineers may be involved in product and tool selection, configuration, security, resilience, performance tuning and production monitoring as well as mentoring less experienced engineers. Key Responsibilities - 50% Delivery and Execution: - Develops, tests, deploys, and maintains software, with a clear understanding of the value the software is to provide. - Takes on new opportunities and tough challenges with a sense of urgency, high energy and enthusiasm. - Consistently achieves results, even under tough circumstances. - Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production. - Takes a broad view when approaching issues; using a global lens. - 20% Learns and Grows: - Learns through successful and failed experiments when tackling new problems. - Actively seeks ways to grow and be challenged using both formal and informal development channels. - 20% Plans and Aligns: - Collaborates with other team members in agile processes. - Creates new and better ways for the organization to be successful. - Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable. - Delivers multi-mode communications that convey a clear understanding of the unique needs of different audiences. - Adapts approach and demeanor in real time to match the shifting demands of different situations. - Relates openly and comfortably with diverse groups of people. - 10% Supports and Enables: - Helps grow junior engineers by providing guidance on modern software development frameworks, and leading technical discussions. Qualifications - Must be eighteen years of age or older. - Must be legally permitted to work in the United States. Preferred Qualifications - Familiarity with AI-assisted development tools and demonstrated ability to integrate them into a production workflow with appropriate review and validation practices. - Experience contributing to or consuming shared prompt libraries, AI workflow assets, or reusable AI-enabled development patterns. - Experience with security frameworks for user and services authorization and authentication. - Experience with creating and executing unit, functional, destructive and performance tests. - Experience with modern debugging and root cause analysis techniques. - Experience with version control system. Minimum Education - The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Pay Range The pay range for this position is between $80,000.00 - $180,000.00 for California, Colorado, Connecticut, Rhode Island, Nevada, New York City, Ithaca (NY), Westchester County (NY), and Washington residents.
UL Research Institutes is a nonprofit organization dedicated to advancing public safety through rigorous scientific research. Originally founded as part of UL S
Role Description We have an exciting opportunity for a Lead Research Scientist in AI at UL Research Institutes, within our Digital Safety Research Institute (DSRI). This is a REMOTE opportunity. The Lead Research Scientist in AI directs advanced research in natural language processing (NLP) and large language models (LLMs) to support Digital Safety’s mission. This role leads research in NLP and LLM safety including: - Literature surveys - Experimental design - AI/software engineering - Data acquisition - Data analysis - Documentation necessary to execute comprehensive experimental studies The Lead Research Scientist establishes research concepts and criteria to resolve major problems in current programs or approaches. Projects require substantial knowledge of state-of-the-art AI/software engineering principles and theories and use professional concepts and procedures to solve a wide range of research-based problems. As the Lead Research Scientist in AI, you will play a key role in the rapid growth of UL as you: - Formulate, design, and manage independent test and evaluation research programs to protect the public from AI systems harms – focusing on testing systems enabling the most public harm. - Lead and contribute to the development of competitive research proposals, including defining scope, methodology, and deliverables, to secure funding for independent AI test and evaluation research programs. - Serve as a principal investigator for Digital Safety’s independent test and evaluation research programs in NLP and LLMs, providing scientific leadership and accountability for program outcomes, timelines, and deliverables. - Apply intensive and diverse knowledge of technology and AI/software engineering concepts to execute and manage specific research programs. - Analyze experimental results to determine causes of problems and develop solutions, and evaluate technical specifications and factors related to process or design objectives. - Plan, design, and complete initial and follow-up procedures as needed to validate the testing and evaluation results. - Plan, design, and execute research challenges, using and improving Digital Safety’s evaluation tools, to lead the NLP and LLM community to solve problems of importance to transition partners. - Propose and host workshops at leading research conferences in AI safety where research challenge winning methods and their comparative results are discussed to move the field forward in producing results that can have impact in public safety. - Stay ahead of changing technologies in the field by reading papers and scientific publications and attending academic conferences. - Contribute to and/or lead other department specific and cross-functional initiatives. Qualifications - Expert knowledge of AI/software engineering disciplines. - Demonstrated experience to secure research funding through competitive proposal development. - Demonstrated experience to lead research programs and serve as principal investigator, driving accountability for scientific outcomes and program execution. - Demonstrated ability to attract invitations to give keynote presentations. - Excellent communication skills required. - Advanced AI/software engineering and data analysis skills. - Ability to collaborate effectively with research scientists, engineers, and external partners to deliver research outcomes. - Ability to publish research results at leading academic conferences. Requirements - PhD in computer Science (with a focus on NLP or LLMs) plus 6 or more years of directly related research experience. - Master’s degree in computer science (with a focus on NLP or LLMs) plus 8 or more years of directly related research experience. - Bachelor’s degree in computer science (with a focus on NLP or LLMs) plus 12 or more years of directly related research experience. Benefits - Salary Range: $131,186.31 - $180,381.17 - Pay Type: Salary
3,049more opportunities are still waiting for you.Log in now and take your next shot before someone else does.
Python, Azure, Cloud, PostgreSQL, PyTorch, Ray