MLOps Engineer: Scale ML Pipelines & Production
ExaCare Inc
ExaCare Inc is seeking a Machine Learning Engineer in New York to operationalize and scale machine learning systems. This engineering-focused role will involve building workflows, infrastructures, and processes to enhance ML system reliability. The ideal candidate will have 3+ years of experience in MLOps, strong software engineering skills, and a passion for improving ML operations. Join a high-achieving team and be part of the transformation in healthcare with flexible PTO and competitive benefits. #J-18808-Ljbffr ExaCare Inc
$130k - $160k
SewerAI Corporation is seeking an MLOps Engineer to be the architectural backbone of its AI products. This role involves designing and optimizing the cloud infrastructure, particularly on AWS, for machine learning operations. Candidates should have 4-6 years' experience...Pipeline$90 - $140 per hour
...Dorsey . Position: MLOps Engineer Expert Type:... ...training infrastructure, and ML framework-level topics... ...frameworks to assess training pipeline design, distributed... .... ~ Hands-on production experience with JAX and/or PyTorch at scale. ~ Experience writing...PipelineContract workSummer workRemote workWeekday work- ...develop tools and systems that enhance the ML models lifecycle in production, the full-time MLOps Engineer will create and optimize data pipelines, implement backend systems, and improve... ...Develop tools for Data Scientists to scale their operations and routines Create and...PipelineFull timeRemote work
$200k - $220k
...trajectory. The AI Engineering Team is chartered... ...is to build robust pipelines, high-performance... ...speed, safety, and scale. We manage... ...needed to make AI production-ready. We’re also... ...market. As a Senior MLOps Engineer with a focus... ...infrastructure for AI/ML systems. You will:...PipelineRemote work$110 per hour
...Guide research and engineering teams to close knowledge... ...performance in MLOps , training infrastructure, and ML framework-level topics... ...to assess training pipeline design, distributed... ...organization. ~ Hands-on production experience with JAX at scale. ~ Experience...PipelineRemote jobContract workSummer workWeekday work- A technology firm is seeking a Senior MLOps Engineer to lead and optimize machine learning systems for a custom-built shopping agent. You'll oversee the entire ML lifecycle, ensuring production models run efficiently and reliably. The ideal candidate will have extensive...Remote jobFlexible hours
$40 - $60 per hour
A leading cloud solutions provider is looking for an experienced MLOps Engineer to manage the lifecycle of production machine learning models. You will be responsible for building pipelines, monitoring production models, and ensuring performance and monitoring standards...PipelineRemote jobHourly pay$40 - $60 per hour
...Details Own the end‑to‑end lifecycle of production ML: training, packaging, deployment, monitoring, and governance. Build reusable pipelines and tooling so data scientists and contractors... ...Cloud. Must Have Skills 4+ years of MLOps/ML platform or DevOps for data/ML...PipelineHourly payFor contractorsRemote work- A leading technology company is seeking a Senior Machine Learning Engineer to manage the ML lifecycle, from data pipelines to model deployment. Collaborating closely with product managers and engineers, this role focuses on transforming complex business problems into effective...PipelineRemote work
$40 - $60 per hour
...professional to manage the entire lifecycle of production ML, including training, deployment, and... ...As a key player, you will design CI/CD pipelines, standardize packaging, and enforce IAM... ...and SQL, coupled with experience in MLOps practices. Join CeDent to drive innovative...PipelineRemote job$140k - $175k
Cordial is seeking a Data Scientist - Production Engineering to join its data science team in the United States. This role focuses on optimizing and scaling data science models while collaborating with engineering and product teams. The ideal candidate will have a Bachelor...Pipeline$183k - $246k
...phase of growth as we scale AI agents across the jobsite... ..., we’re now launching production-ready AI agents,... ...with 100+ employees (50+ engineers), we’re scaling fast and... ...scale document processing pipelines (Kubernetes-based),... ...and shipping production ML/AI systems. ~ Proven...PipelineWork at officeRemote workFlexible hours- Braintrust is seeking a Senior Software Engineer to tackle large-scale challenges in personalization and AI/ML. The role emphasizes backend development and the ability... ...chance to mentor engineers and work collaboratively with product teams. #J-18808-Ljbffr BraintrustPipelineRemote jobContract work
- Build and deploy AI agent pipelines that extract... ...accuracy, deploying to production, and iterating until it... ...architecture changes, prompt engineering, fine‑tuning, or rule‑... ...teams to deploy, scale, and monitor pipelines... ...Requirements 2+ years building ML/AI systems in...Pipeline
$128.7k - $261.3k
...planning research into production‑grade software that... ...reliably on real vehicles at scale. We pioneer new... ...development, and performance engineering so that every cycle on... ...key contributor to a pipeline and tooling that makes... ..., and effortless for ML engineers across the...PipelineFlexible hours- ...development of its AI platform. This role involves owning core parts of multi-agent systems and scaling document processing pipelines. Ideal candidates will have over 7 years in production ML/AI systems, with strong leadership in complex projects and a deep understanding of...PipelineFlexible hours
$200k - $300k
...Hiring: Machine Learning Engineer II (Autonomous Vehicles /... ...mission by developing scalable, production-grade models that enable... ...to building end-to-end ML systems for large-scale autonomy in designing, training... .... Optimize and scale ML pipelines across edge and cloud...PipelineFull timeImmediate startRemote work$256k - $285k
...companies in the country. Our products are trusted by the... ...on healthcare at scale. About the role: We... ...are seeking a Senior MLOps Engineer to join our Platform... ...of Garner's production ML systems, contributing... ...Implement ML-specific CI/CD pipelines: Help transition our...PipelineWork at officeWork visaFlexible hours3 days per week- ...speech (TTS), and building production-grade voice agents at scale. More than 200,000... ...problems in AI. As an ML Ops Infrastructure Engineer at Deepgram, you will own... ...production -- building the pipelines, deployment systems,... ...years of experience in MLOps, DevOps, or...PipelineHome officeFlexible hours
$216.7k - $303.4k
...Machine Learning Engineer, GenAI Security Remote... ...agents, and production user-facing systems... ...practical, high-quality ML models that detect... ..., build ETL pipelines, engineer features... ...Build repeatable MLOps workflows for SPACE... ...working with large‑scale datasets. Experience...PipelineRemote work$209.7k - $283.8k
...Vector builds an offline ML platform that powers insight... ...Our systems operate at scale across batch and... ...data, supporting analytics, product intelligence, machine learning pipelines, and business operations.... ...We are seeking a staff ML engineer to design and evolve the...PipelineWork at officeWorldwideRelocation package- Clearview AI is seeking a Senior Machine Learning Engineer to advance their facial recognition technologies. This role requires strong expertise in computer vision and machine learning. The ideal candidate will have experience building and deploying models, with a focus...Remote jobFlexible hours
- Capital One is looking for a Machine Learning Engineer (MLE) to join their AI Foundations team. In this full-time role based in New York,... ...responsibilities include collaborating with cross-functional teams, designing ML models, and ensuring the integrity and efficiency of systems. A...Full time
- ...York is seeking a Senior Machine Learning Engineer to design, develop, and maintain machine... ...Python and a strong understanding of the ML lifecycle. The ideal candidate has over 5... ...experience and will work collaboratively across product, engineering, and operations to deliver...
- BetMGM is seeking a Senior Machine Learning Operations Engineer to oversee ML systems and their paths to production. You'll manage our platform on AWS, focusing on both batch and real-time models while ensuring reliability and performance standards are met. With over 5...
- BetMGM is looking for a Senior MLOps Engineer to design and operate their machine learning platform on AWS. You will be responsible for ensuring... ...candidate will have over 5 years of experience in software production, specifically with AWS technologies like SageMaker and...
- Qdev is seeking an MLOps Engineer to enhance our model deployment pipelines and cloud infrastructure. This position focuses on reliable deployments and clean data... .... The ideal candidate will work closely with ML engineers to automate workflows and ensure models operate...Pipeline
- ...healthcare AI at scale. New Jersey or Remote... ...This role is for engineers who want to build the foundational ML infrastructure... ...ML models across production healthcare environments... ...Build data pipelines for training and evaluation... ...Familiarity with MLOps practices and...PipelineRemote jobFull time
$148.7k - $223.1k
...5661 Senior Machine Learning Engineer, AI Automation New York, NY,... ...system challenges at massive scale while directly influencing Unity... ...on AI-powered systems or products. You have a good foundational... ...distributed systems and real-time data pipelines (Kafka, Flink, or Spark)....PipelineFull timeFixed term contractWork at officeLocal areaRemote workWorldwideRelocation package$144.7k - $261.3k
Senior ML Validation Research Engineer will lead applied machine learning research focused on improving... ...integrated into CI/CD and large-scale validation pipelines. Advance ML research for open... ...Prototype tools integrated into production validation workflows Tangible contributions...PipelineFlexible hours
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