AWS ML Engineer — MLOps, SageMaker, Spark Pro
EXL
EXL in New Jersey is seeking an experienced AWS Machine Learning Engineer to design, build, deploy, and support scalable ML solutions. You will work in a hybrid NJ role with exposure to SageMaker, Databricks ML, Spark, and model operationalization. The role requires 6+ years in software/data/ML and 3+ years AWS ML experience, with strong MLOps deployment skills and collaboration with stakeholders. Competitive base compensation is offered. #J-18808-Ljbffr EXL
- ...MLOps Engineer We are seeking an MLOps Engineer to join a team focused... ...maintenance and development of ML serving pipelines. The engineer... ...serving pipelines using Kubeflow, Spark, and Python. Collaborate... ...Knowledge of Kubernetes and AWS. Experience with Kubeflow or...Amazon Web Service
$180k - $230k
SVP, MLOps / DevOps Engineer - Full Time - Hybrid We’re partnering with our client... ...and cloud; helping bring AI/ML models into production in a... ...DevOps experience across AWS, Kubernetes (EKS), and GitLab... ...priority)Deep experience with AWS (SageMaker preferred)Expertise with...Amazon Web ServiceFull timeRemote work£80k per year
...Machine Learning Engineer role at Williams... ...to the Lead ML Engineer — you will... ...partners — including AWS specialists. If... ...using Amazon SageMaker Leverage AWS... ...understanding of MLOps principles and how... ..., or Apache Spark Relevant certifications... ...bank holidays (pro‑rata for part...Amazon Web ServicePermanent employmentFull timeContract workPart timeRemote workWorldwideShift work- ...healthcare solutions provider in the United States seeks an ML Engineer passionate about MLOps and data reliability. You will build and maintain... ...data or software engineering, and skills in Python, SQL, AWS, and Docker. This role offers remote work opportunities and...Amazon Web ServiceRemote job
- As a Senior Machine Learning Engineer in our Digital Intelligence team,... ...scalable features, and engage in ML Ops work. Together, we will... ...processing, Reinforcement learning, MLOps Comfortable conducting design... ...in a cloud environment like AWS/GCP or Azure Passionate about working...Amazon Web ServiceWork experience placement
- ...Senior Vice President, MLOps and DevOps Engineering About the Company Expanding... ...pipelines, productionizing AI/ML and GenAI workloads, and... ...managing cloud infrastructure in AWS, with a strong emphasis on... ...in AWS, particularly with SageMaker, and a strong background in...Amazon Web Service
$230k - $250k
...rapidly growing health technology company is seeking a Senior MLOps Engineer to help scale the next generation of machine learning-... ...products. This is a full-time remote opportunity focused on AWS, Python, ML infrastructure, and large-scale deployment systems. The organization...Amazon Web ServiceFull timeRemote workFlexible hours$160k - $240k
Senior MLOps Engineer - Artificial Intelligence Location New York Business Area Engineering... ...the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing... ....Experience with cloud providers such as AWS, GCP or AzureA track record of...Amazon Web ServiceTemporary workFor contractorsWork experience placement$207.4k - $278.1k
...global organization of engineers, product developers... ...LearningThe N&E ML team is responsible... ..., preferably AWS (Step Functions, Lambda... ...such as Databricks, Spark, Kinesis, and KafkaExperience... ...with MLOps platforms and modern... ...tools (e.g. MLflow, SageMaker, Vertex AI)The hiring...Amazon Web ServiceFull time- ...veteran.**Job Description:****ML Engineer****3M Health Care is now Solventum... ...who is passionate about **MLOps, data reliability, and production... ...one major cloud provider (AWS, Azure, or GCP) and containerization... ...frameworks (like Pandas, Spark, or dbt).Additional qualifications...Amazon Web ServiceH1bRemote work
$160k - $180k
...Senior MLOps Engineer New York, New York - 5 days onsite $160,000 - $180,000 + bonus THE... ...systems is preferred ~ Cloud experience in AWS, Azure or GCP ~ DevOps experience with... ...AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production...Amazon Web Service- Seeking an experienced AWS Machine Learning Engineer with strong expertise in Machine Learning, MLOps, AWS cloud services, Databricks ML, Spark, and model operationalization. The candidate... ...retraining. Build ML solutions using AWS SageMaker, Glue, EMR, S3, Lambda, ECS/EKS,...Amazon Web Service
$160k - $240k
Description & Requirements Bloomberg’s Engineering AI department has 400+ AI... ...teams) of Machine Learning (ML) and Software Engineers that... ...most. We are looking for Senior MLOps Engineers with strong... ...with cloud providers such as AWS, GCP or Azure A track record...Amazon Web ServiceTemporary workFor contractorsWork experience placement- We are looking for a Senior MLOps engineer to work closely with Data Scientists to build and deploy ML models on a modern MLOps stack. As an Executive Director Machine Learning... ...architectures, and which are deployed in AWS. These applications power personalized...Amazon Web Service
$147.6k - $274k
...highly motivated and skilled ML Infrastructure DevOps Engineer to join our growing team... ...reliable ML infrastructure on AWS.Automate deployment,... ...such as EC2, S3, RDS, EKS, SageMaker, etc.Strong proficiency with... ....Preferred Experience with MLOps platforms and tools.Familiarity...Amazon Web ServiceFull timeLocal areaWorldwideRelocation package- ...machine learning, data engineering, cloud platforms, and end... ...translate them into ML solutions. Perform data... ...automate workflows through MLOps frameworks. Deploy... ...native services (Azure, AWS, or GCP). Monitor and... ..., Kubeflow, Vertex AI, SageMaker, or Azure ML Studio. Seniority...Amazon Web ServiceContract workRemote work
$235k
...Senior Principal AI/ML Engineer The Senior AI/ML Engineer is a hands-on technical practitioner... ...reasoning. Model Engineering & MLOps Design, train, evaluate, and... ...with cloud AI/ML platforms (Azure ML, AWS SageMaker, GCP Vertex AI) and associated infrastructure...Amazon Web ServiceDay shift$150k - $250k
...motivated Machine Learning Engineer to join our growing... ...managers to build scalable ML systems and production-... ...cloud platforms such as AWS, GCP, or Azure Experience... ..., CI/CD pipelines, and MLOps practices Strong problem... ...processing frameworks such as Spark Familiarity with SQL and...Amazon Web Service$158.1k - $213.8k
...AppStar Data Analytics & Engineering (DNA) team within... ...build, deploy, and scale ML systems that power how... ...production-grade ML services on AWS.Key job... ...using AWS services such as SageMaker, Glue, S3, and Athena-... ...inference, leveraging Spark/PySpark and AWS infrastructure...Amazon Web ServiceInternshipFlexible hours- ...bring on an experienced Data Engineer to join Eight Sleep’s machine... ...involves monitoring production ML systems, building tools and pipelines... ...SciPy, Pandas Experience with AWS services relevant to machine... ...engineering, including EC2, SageMaker, S3, and Kinesis as well as...Amazon Web ServiceFull timeSleeping nightsFlexible hoursNight shift
$135k - $150k
...junior Machine Learning Engineer. In this role, you will... ...environments. At Pangram, ML engineers are highly... ...-scale data processing (Spark, Beam) and orchestration... ...Airflow) Experience with MLOps and experiment tracking... ...cloud-based infrastructure (AWS/GCP) Compensation Range:...Amazon Web ServiceInternshipWork at office- Errgo is seeking a Junior Machine Learning Engineer to contribute to building and deploying ML models across the platform, working with experienced engineers... ...systems, and the opportunity to grow technical skills in MLOps while delivering impactful projects. #J-18808-Ljbffr...
- Photon is seeking a seasoned Machine Learning Engineer based in New Jersey to design and deploy analytics... ...and engineering teams to deliver end-to-end ML solutions, deploy models into production, and leverage Python, Spark, and Databricks to generate actionable insights...
- ...build, and maintain scalable ML platform services including feature... .... Collaborate with engineering and cross-functional teams to... ...with big data systems such as Spark, Kafka, Flink, S3, and AirFlow... ..., PyTorch, HuggingFace, and AWS Sagemaker. AI literacy and curiosity...Amazon Web ServiceFull timeWork at officeRemote workMonday to FridayMonday to ThursdayFlexible hours
- ...ideas, but always rooted in engineering best practices. As a result,... ...useful. The Machine Learning (ML) Team at Kensho is redefining... ...Management & Storage: Apache Spark, AWS Athena, DVC, LabelBox, OpenSearch... ..., S3, SQLite Deployment & MLOps: Arize, Airflow, AWS,...Amazon Web ServiceWork at officeWorldwide
- AI/ML Engineer**** Please note: This role is not eligible for 100% remote work. Employees must... ...Learning and at least one of the major clouds (AWS, GCP, Azure)* Hands-on experience... ...basic services.* Experience implementing MLOps best practices and ML workflow tools, and...Amazon Web ServiceTemporary workWork at officeLocal area3 days per week
- ...of the world's leading financial institutions.As a AI/ML Engineering Associate at JPMorgan Chase within the Business Banking... ...building and deploying ML models on cloud platforms such as AWS and AWS tools like Sagemaker, EKS, etc.Prior experience in credit card marketing and...Amazon Web Service
- ...production-ready, AI-driven applications.MLOps Implementation: Establish robust MLOps practices... ...(Must-Have)6+ years of software engineering and machine learning experience (or 4+ years... ...on distributed cloud environments (AWS, Azure, or GCP).Strong technical focus on...Amazon Web Service
- ...Science, Business Analytics, Engineering, Mathematics, or... ...cloud platforms such as (AWS, GCP, Azure, Oracle)... ...distributed systems such as (Spark, Dask, Flink) and... ...ExpectationsExposure to ML platforms such as (Databricks, SageMaker, Vertex AI), MLOps best practices, and GenAI...Amazon Web ServiceApprenticeshipEasy work
- ...candidate with strong expertise in Databricks Lakehouse architecture and advanced experience with PySpark and Spark SQL. Ideal applicants will possess a deep knowledge of AWS services and data orchestration tools like Airflow. Strong communication and collaboration skills are...Amazon Web Service
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