UNKNOWN

FEED

An Machine Learning Operations (MLOps) Engineer who builds and operates the pipelines, platforms, and observability that carry machine learning models from experimentation into reliable, cost-efficient production. Results: Shorten time-to-production for models while improving reliability, minimizing failure risk, and optimizing the cost, scaling, and utilization of training and inference workloads in partnership with Infrastructure teams.

Openlane Inc

Machine Learning Operations (MLOps) Engineer

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Operating in a 3-day onsite hybrid capacity in Indianapolis, you will collaborate directly with process engineers, life science researchers, and platform engineering teams to build robust, low-latency ML systems that scale across the enterprise. You will bridge complex domains—from computational biology, small and large molecule research, and clinical trial analytics to active pharmaceutical ingredient (API) manufacturing processes, batch optimization, and industrial automation ML.

Xenon7

Senior Machine Learning Engineer

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This applies equally to the edge tier (Cloudflare), security platforms (Zscaler ZIA/ZPA, ZTNA policies, next-gen firewalls), the cloud network fabric (Transit Gateway, Cloud WAN, VPCs, Route53, IPAM), and increasingly the Kubernetes and service-mesh layer. Operate and extend our multi-account AWS Landing Zone - Cloud WAN segmentation, Transit Gateway peering, IPAM-driven CIDR allocation, shared private DNS, cross-account telemetry pipelines.

YEAR

Group One Thousand One LLC

Senior Network Reliability Engineer

Take ownership of complex technical challenges across the full stack, making architectural decisions that span multiple microservices, and contribute to the full software lifecycle — from sprint planning and ticket refinement to implementation, peer reviews, and demos. Bonterra's differentiated, end-to-end solutions collectively support a unique network of over 20,000 customers, including over 16,000 nonprofit organizations and over 50 percent of Fortune 100 companies.

Bonterra Tech

Lead Software Engineer

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They are bringing on 50 relay technicians this year across the lead, senior, and junior levels, which means real room to grow and a clear path from the field into leadership. You will lead field teams, mentor technicians in protection theory and application, and act as the technical authority who signs off on testing before it reaches the client.

Southern Staffing Group

Lead Test Engineer - Daniel

Albany, NY; Albuquerque, NM; Anchorage, AK; Ashburn, VA; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boston, MA; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; El Segundo, CA; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Irvine, CA; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Las Vegas, NV; Lincoln, NE; Los Angeles, CA; Louisville, KY; McLean, VA; Melville, NY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; New York, NY; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Portland, OR; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Sacramento, CA; Salt Lake City, UT; San Antonio, TX; San Diego, CA; San Francisco, CA; Santa Clara, CA; Seattle, WA; Shreveport, LA; St Louis, MO; Stamford, CT; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Washington, DC; Winston-Salem, NC. Actively participate in client working sessions and discovery efforts, communicating technical concepts clearly and presenting working software through live demos and compelling narratives.

KPMG International Cooperative

Senior Associate, Forward Deployed Engineer

Albany, NY; Albuquerque, NM; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; Shreveport, LA; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC. Qualifications: Minimum three years of recent experience of platform administration experience focusing on Azure Databricks which includes Unity catalog, Lakebase Postgres, Databricks Apps and Genie Agent; Azure Data Lake Storage (ADLS), and Azure Data Factory (ADF).

Senior Engineer, ADL Platform Admin

Hands-on experience building or supporting solutions utilizing Retrieval-Augmented Generation (RAG), machine learning pipelines, Large Language Models (LLMs), or other AI-driven technologies. The Engineer III will be responsible for owning technically challenging work, collaborating cross-functionally, and contributing to the design, development, and support of scalable applications across front-end, back-end, and cloud infrastructure.

Sallie Mae

Engineer III

OTHER

Experience with JFrog Artifactory and JFrog Xray/Advanced Security for artifact management, vulnerability scanning, software supply chain security, and DevSecOps workflows; experience supporting migrations from Nexus to Artifactory is a plus. Experience working directly with enterprise technology vendors and vendor support organizations, including effectively escalating issues, challenging proposed resolutions when appropriate, and driving technical issues through resolution.

Moser Consulting

Senior DevOps Engineer

BreezyHR

FULL_TIME

You will design and ship models, build the infrastructure and integrations that connect large language models to real Zotec data, and help define how AI systems reason over that data safely and accurately. Connect large language models to real data by building and maintaining the tools and integrations that let AI systems query and reason over Zotec’s data accurately and safely.

Zotec Partners

partner JazzHR

Our client, a leading engineering services company specializing in testing and commissioning for the electric utility industry, is seeking an experienced Lead Test Engineer to join their team in servicing their utility client supporting the Duke Indiana footprint. Collaborate with engineering teams to identify and resolve design errors or gaps, ensuring proper corrections are implemented.

Lead Test Engineer

This role will build and optimize cloud-based data platforms, design scalable ETL (Extract, Transform, Load) pipelines, and develop curated datasets that support reporting, dashboards, advanced analytics, and Artificial Intelligence initiatives. Design, develop, and optimize PostgreSQL database objects including schemas, tables, views, materialized views, stored procedures, and data transformation logic to support analytics and reporting workloads.

Azenta Inc

Business Intelligence Engineer

Actively solicit feedback from teams, and use that feedback to improve operational effectiveness as infrastructure scales Provide serviceability feedback on production hardware resulting in more efficient repair activities Move to MINIMUM_QUALIFICATION sectionBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience BS or BA in electrical, mechanical, or computer engineering, or equivalent hardware-engineering-related experience 10+ years of experience with server hardware systems in an internet operations environment, or on a development team in design or test validation Experience triaging and debugging hardware platforms Familiarity or experience in NPI server platform development Familiarity with Linux or Unix Operating systems Experience training and mentoring technicians and/or engineers Demonstrated technical skills and experience creating documentation for users of all levels Communication experience and interpersonal skills, with the experience communicating and partnering effectively within all levels of the organization Experience with building relationships with customers and vendors Expert at leveraging large volumes of data to improve decision making processes in the hardware functional domain (understanding the metrics and statistics) Experience in data center system and process automation Experience in large scale data center hardware deployments and building scaling infrastructure BS or BA in electrical, mechanical, or computer engineering Experience supporting server hardware in a public cloud, hosted, or colocation environment, including working through a cloud provider's repair and escalation process Experience diagnosing hardware issues with limited physical access and partial telemetry Experience engaging technically with hardware vendors or service providers, including evidence based escalation and service level discussions Bash, PHP, Python, or Perl scripting experience Experience in integration testing and operation of compute, storage, and accelerator (GPU) platforms, bringing operational perspective to each stage of H/W development life cycle through end of life in productionMeta builds technologies that help people connect, find communities, and grow businesses. Serve as subject matter expert for compute, storage, and accelerator (GPU) platforms in Meta's production data centers and on capacity Meta consumes from cloud providers, anticipating and diagnosing issues for the operations teams, and escalating as appropriate to hardware design and NPI teams Act as the deep escalation point for cloud hardware issues, taking handoffs from the cloud triage teams and driving hardware and software investigation through to resolution Identify systemic hardware issues within a single cloud provider and across cloud providers, separating cloud provider specific behavior from platform behavior already characterized in Meta's own fleet Represent Meta's reliability, diagnosability, and serviceability expectations to cloud providers, compiling the technical evidence those conversations depend on Carry findings from the cloud environment back into Meta's own platform work, and apply what is already known about Meta's platforms to accelerate diagnosis in the cloud Provide end to end lifecycle support (operational test through end of life decommissioning) of hardware platforms and new technologies in the data centers Drive complex technical investigations globally and spanning multiple disciplines such as Hardware, Software/Firmware, Networking and Power & Cooling Analyze health of the global fleet of servers to proactively identify systemic issues, and take appropriate action to quickly mitigate impact Work closely with HW Engineering, Release to Production, and Systems Integration teams to take new server and storage platforms into mass production in the data centers Identify risks early in new hardware programs and contribute the test methods needed to characterize the product and assure end customer needs are met Act as product owner for specific server and/or storage platforms.

Meta Platforms Inc

Cloud Production Platform Engineer

We combine this with deep technical expertise, requiring not only expert Python proficiency but also a comprehensive understanding of the entire ML stack, from optimizing neural network architectures to managing production infrastructure on Kubernetes, and making informed, cost-aware decisions on hardware selection. Collaboration and technical leadership: Drive cross-team alignment by defining clear API interfaces and technical contracts, facilitating effective communication between engineering and product teams to ensure seamless system integration.

Lilt Inc

Machine Learning Engineer (Real-Time Speech Translation)

Active and existing security clearance required after day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. Software development experience on embedded high-criticality Real-Time Operating Systems (RTOS) such as Green Hills Software (GHS) INTEGRITY or WindRiver VxWorks.

Senior Software Engineer

Identify and root cause systemic issues across the cloud server fleet and drive resolutions to maximize uptime and utilization by leveraging hardware failure data and diagnostic telemetry Write, review, and maintain code for diagnostic and cloud automation tooling that supports quality and efficient delivery of production servers at hyperscale Own and develop diagnostic tooling requirements that enable frontline operations teams to efficiently manage and repair the cloud server fleet Drive the escalation process for Data Center Operations to identify, root cause, and resolve complex cloud tooling and hardware issues affecting fleet health Execute operational validation and verification activities for new cloud product integration into the production environment Collaborate with cross-functional cloud tooling teams to provide an operations-centric perspective on open issues and contribute to their development roadmaps Perform deep data analysis to prioritize cloud automation opportunities for server repair workflows in a large-scale, heterogeneous hardware environment Build cross-functional relationships and influence policies and procedures to improve global cloud data center operations consistency and efficiency Mentor other engineers on evaluating and resolving cloud fleet issues and defining improvements to tools and operational processes Travel up to 25% to support global cloud data center operations and new site deploymentsBachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7+ years of experience in production systems engineering, infrastructure engineering, or system software development for large-scale cloud environments 7+ years of experience with hardware lifecycle management, fleet automation, or cloud data center operations systems spanning compute, storage, or networking infrastructure Experience developing systems software or automation tooling in Python, Bash, PHP, C, or C++ for Linux-based production environments at scale Experience with the configuration and maintenance of production systems, including web servers, load balancers, relational databases, storage systems, and messaging systems Experience communicating technical designs and cloud infrastructure decisions through written documentation and cross-functional stakeholder alignment across engineering and operations teams Experience designing or operating cloud configuration management and infrastructure-as-code systems for large heterogeneous hardware fleets Experience with data analysis and visualization tools used to prioritize fleet health initiatives and drive operational decision-making Experience supporting global, multi-site data center infrastructure deployments, including hardware qualification and regional rollout coordination Familiarity with distributed systems monitoring, alerting, and automated remediation pipelines at hyperscaleMeta builds technologies that help people connect, find communities, and grow businesses. The ideal candidate performs deep data analysis to prioritize server repair automation in a hyperscale cloud environment, drives solutions through code, and collaborates effectively with globally distributed teams through clear written communication.

Cloud Production Systems Engineer

Security Notice: Our official website is www.diverselynx.com We do not operate or authorize any other websites representing Diverse Lynx LLC. Deliver secure, scalable architectures Consultantly while maintaining accountability for project delivery and technical excellence.

HOUR

Diverse Lynx, LLC

AI/ML Engineer

This role blends deep technical expertise with practical, hands-on engineering, building AI enabled applications, deploying them into production systems, and working closely with product, engineering, and domain teams to deliver measurable value. You will play a lead role in shaping solution architectures, selecting the right models and frameworks, developing experiments, and translating complex concepts into working capabilities that end users can rely on.

Atlas Tech Inc

Senior Applied AI-Machine Learning Engineer

Albany, NY; Albuquerque, NM; Atlanta, GA; Austin, TX; Baltimore, MD; Baton Rouge, LA; Bentonville, AR; Birmingham, AL; Boise, ID; Boulder, CO; Buffalo, NY; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Columbus, OH; Dallas, TX; Denver, CO; Des Moines, IA; Detroit, MI; Fort Worth, TX; Ft Lauderdale, FL; Greenville, SC; Harrisburg, PA; Hartford, CT; Houston, TX; Indianapolis, IN; Jackson, MS; Jacksonville, FL; Kansas City, MO; Knoxville, TN; Lincoln, NE; Louisville, KY; Memphis, TN; Miami, FL; Milwaukee, WI; Minneapolis, MN; Montvale, NJ; Morristown, NJ; Nashville, TN; New Orleans, LA; Oklahoma City, OK; Omaha, NE; Orlando, FL; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Providence, RI; Raleigh, NC; Richmond, VA; Rochester, NY; Salt Lake City, UT; San Antonio, TX; St Louis, MO; Tallahassee, FL; Tampa, FL; Tempe, AZ; Virginia Beach, VA; Winston-Salem, NC. Deep expertise in cloud engineering, including Azure AI services, Kubernetes (AKS), API development, DevOps practices, CI/CD pipelines, Infrastructure-as-Code, and Terraform; proficiency in automation, scripting, and testing using Python, PowerShell, Bash, YAML, and related development and operational tools.

Associate Director, AI Application Engineer

The role will be responsible for the infrastructure and operations of the organizations data storage solutions, third-party integrations data provisioning services and overall ETL/ELT code-based solutions and tooling that process data. Akumin is a leading provider of outpatient radiology and oncology services, partnering with top hospitals and health systems nationwide to deliver advanced diagnostic imaging and exceptional patient care close to home.

Pipeline Engineer Jobs in Indianapolis, IN

Machine Learning Operations (MLOps) Engineer Openlane Inc

Senior Machine Learning Engineer Xenon7

Senior Network Reliability Engineer Group One Thousand One LLC

Lead Software Engineer Bonterra Tech

Lead Test Engineer - Daniel Southern Staffing Group

Senior Associate, Forward Deployed Engineer KPMG International Cooperative

Senior Engineer, ADL Platform Admin KPMG International Cooperative

Engineer III Sallie Mae

Senior DevOps Engineer Moser Consulting

Senior Machine Learning Engineer Zotec Partners

Lead Test Engineer Southern Staffing Group

Business Intelligence Engineer Azenta Inc

Cloud Production Platform Engineer Meta Platforms Inc

Machine Learning Engineer (Real-Time Speech Translation) Lilt Inc

Senior Software Engineer RTX

Cloud Production Systems Engineer Meta Platforms Inc

AI/ML Engineer Diverse Lynx, LLC

Senior Applied AI-Machine Learning Engineer Atlas Tech Inc

Associate Director, AI Application Engineer KPMG International Cooperative

Senior Data Engineer Akumin Inc

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