100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience!</li><li> Generous stock grant!</li><li> Bonus of 10-20%, depending on experience!</li><li> Work from home / work remote 100%!</li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!</li><li> Comprehensive medical, dental, vision and life insurance!</li><li> 17 paid holidays per year, including 3 floating holidays!</li><li> Annual Paid Time Off (PTO), with separate sick days!</li><li> 12 weeks paid Parental Leave!</li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.!</li><li> Tuition reimbursement! </li><li> Ability to attend conferences!</li><li> A MacBook Pro and accompanying hardware to do great work!</li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!</li><li> Generous company discounts!</li><li> Eligible for donation matching to over 1.5 million nonprofit organization!</li></ul>Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for:<ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field</li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem</li><li> Strong programming skills in Python and understanding of core computer science principles</li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.</li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.</li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.</li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks</li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools</li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms</li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes</li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems</li><li> Ability to load test deployed models at scale to understand performance breakpoints</li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production</li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack</li></ul>Preferred Experiences & Skills<ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science</li><li> Knowledge of data mesh concepts</li><li> Experience with managing and architecting solutions on AWS</li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

ML Engineer Tysons Corner, VA This Jobot Job is hosted by: Charles Simmons Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $150,000 - $200,000 per year A bit about us: Our client is a well-funded deep tech company headquartered in Northern Virginia, building a suite of autonomous software reliability and testing products. Their team is collaborative, highly technical, and customer focused. They prioritize the long-term in our structure, our products, and our relationships. Their team is in the office daily, which helps us tackle the difficult challenges we're working on, together. They are building something ambitious and valuable, and having fun doing it! Take a look at the positions below and reach out if you're interested. Why join us? Our client is looking for senior engineers to join our effort to build our autonomous testing product. As a Lead ML Engineer, you will work with a small, focused team on open-ended and novel applications of unsupervised representation learning. As part of Antithesis's mission to revolutionize autonomous software testing, you will push the boundaries on fundamental questions of software exploration and guided fuzzing. They are doing things nobody has done before, so they don't require expertise with any specific language or framework, etc. Mainly we care that: you're smart, get things done, a joy to work with, and are comfortable dealing with open-ended/poorly-defined problems. Job Details <ul><li> 3+ years of Python experience</li><li> 2+ years of PyTorch or a similar framework</li><li> Cloud Experience</li><li> BS or MS or PHd in CS, Mathematics, Physics or similar</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience! </li><li> Generous stock grant! </li><li> Bonus of 10-20%, depending on experience! </li><li> Work from home / work remote 100%! </li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution! </li><li> Comprehensive medical, dental, vision and life insurance! </li><li> 17 paid holidays per year, including 3 floating holidays! </li><li> Annual Paid Time Off (PTO), with separate sick days! </li><li> 12 weeks paid Parental Leave! </li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.! </li><li> Tuition reimbursement! </li><li> Ability to attend conferences! </li><li> A MacBook Pro and accompanying hardware to do great work! </li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! </li><li> Generous company discounts! </li><li> Eligible for donation matching to over 1.5 million nonprofit organization! </li></ul>Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field </li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem </li><li> Strong programming skills in Python and understanding of core computer science principles </li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. </li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc. </li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc. </li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks </li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools </li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms </li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes </li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems </li><li> Ability to load test deployed models at scale to understand performance breakpoints </li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production </li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack </li></ul>Preferred Experiences & Skills <ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science </li><li> Knowledge of data mesh concepts </li><li> Experience with managing and architecting solutions on AWS </li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools </li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button
and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience! </li><li> Generous stock grant! </li><li> Bonus of 10-20%, depending on experience! </li><li> Work from home / work remote 100%! </li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution! </li><li> Comprehensive medical, dental, vision and life insurance! </li><li> 17 paid holidays per year, including 3 floating holidays! </li><li> Annual Paid Time Off (PTO), with separate sick days! </li><li> 12 weeks paid Parental Leave! </li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.! </li><li> Tuition reimbursement! </li><li> Ability to attend conferences! </li><li> A MacBook Pro and accompanying hardware to do great work! </li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! </li><li> Generous company discounts! </li><li> Eligible for donation matching to over 1.5 million nonprofit organization! </li></ul>Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field </li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem </li><li> Strong programming skills in Python and understanding of core computer science principles </li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. </li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc. </li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc. </li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks </li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools </li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms </li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes </li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems </li><li> Ability to load test deployed models at scale to understand performance breakpoints </li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production </li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack </li></ul>Preferred Experiences & Skills <ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science </li><li> Knowledge of data mesh concepts </li><li> Experience with managing and architecting solutions on AWS </li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools </li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience!</li><li> Generous stock grant!</li><li> Bonus of 10-20%, depending on experience!</li><li> Work from home / work remote 100%!</li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!</li><li> Comprehensive medical, dental, vision and life insurance!</li><li> 17 paid holidays per year, including 3 floating holidays!</li><li> Annual Paid Time Off (PTO), with separate sick days!</li><li> 12 weeks paid Parental Leave!</li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.!</li><li> Tuition reimbursement! </li><li> Ability to attend conferences!</li><li> A MacBook Pro and accompanying hardware to do great work!</li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!</li><li> Generous company discounts!</li><li> Eligible for donation matching to over 1.5 million nonprofit organization!</li></ul> Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field</li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem</li><li> Strong programming skills in Python and understanding of core computer science principles</li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.</li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.</li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.</li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks</li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools</li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms</li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes</li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems</li><li> Ability to load test deployed models at scale to understand performance breakpoints</li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production</li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack</li></ul> Preferred Experiences & Skills <ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science</li><li> Knowledge of data mesh concepts</li><li> Experience with managing and architecting solutions on AWS</li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience! </li><li> Generous stock grant! </li><li> Bonus of 10-20%, depending on experience! </li><li> Work from home / work remote 100%! </li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution! </li><li> Comprehensive medical, dental, vision and life insurance! </li><li> 17 paid holidays per year, including 3 floating holidays! </li><li> Annual Paid Time Off (PTO), with separate sick days! </li><li> 12 weeks paid Parental Leave! </li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.! </li><li> Tuition reimbursement! </li><li> Ability to attend conferences! </li><li> A MacBook Pro and accompanying hardware to do great work! </li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more! </li><li> Generous company discounts! </li><li> Eligible for donation matching to over 1.5 million nonprofit organization! </li></ul>Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field </li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem </li><li> Strong programming skills in Python and understanding of core computer science principles </li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc. </li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc. </li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc. </li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks </li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools </li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms </li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes </li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems </li><li> Ability to load test deployed models at scale to understand performance breakpoints </li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production </li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack </li></ul>Preferred Experiences & Skills <ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science </li><li> Knowledge of data mesh concepts </li><li> Experience with managing and architecting solutions on AWS </li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools </li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

Fully Remote, Strong bonus! This Jobot Job is hosted by: Evan Cornutt Are you a fit? Easy Apply now by clicking the "Apply Now" button and sending us your resume. Salary: $120,000 - $180,000 per year A bit about us: Based out of Southern California, we are a Software company. Our product is a SaaS type platform that connects users to small businesses. We have been in business over 5 years and have been growing rapidly. Due to growth, we have a need for a Senior Machine Learning Engineer to join our staff. Our ideal candidate would be strong in Python. This is a fully remote role. Why join us? <ul><li> Full Remote! </li><li> Strong Pay! </li><li> Great Benefits!</li></ul> Job Details <ul><li> 5+ years of experience </li><li> Strong Python knowledge </li><li> Degree in a related field </li><li> Nice to have: Airflow, Fivetran, Snowflake, Atlan</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

100% REMOTE Senior ML Engineer / Lead Machine Learning Engineer Needed for Growing Subsidiary of a Large Public Company! This Jobot Job is hosted by: Reed Kellick Are you a fit? Easy Apply now by clicking the "Apply Now" button
and sending us your resume. Salary: $155,000 - $235,000 per year A bit about us: We are a growing subsidiary of a large public company that is hiring a talented Lead ML Engineer / Senior Machine Learning Engineer! Why join us? As a Principal ML Engineer / Staff Machine Learning Engineer in our company, we are able to offer: <ul><li> A competitive base salary between $155k and $235k, depending on experience!</li><li> Generous stock grant!</li><li> Bonus of 10-20%, depending on experience!</li><li> Work from home / work remote 100%!</li><li> 401k with dollar for dollar match, up to 6% of eligible earnings (base, bonus). Plus additional company contribution!</li><li> Comprehensive medical, dental, vision and life insurance!</li><li> 17 paid holidays per year, including 3 floating holidays!</li><li> Annual Paid Time Off (PTO), with separate sick days!</li><li> 12 weeks paid Parental Leave!</li><li> Caregiver Leave! </li><li> Adoption and Surrogacy Assistance Plan! </li><li> Flexible workplace accommodation! </li><li> Fun team/company events at Sports games, concerts, etc.!</li><li> Tuition reimbursement! </li><li> Ability to attend conferences!</li><li> A MacBook Pro and accompanying hardware to do great work!</li><li> A modern productivity toolset to get work done: Slack, Miro, Loom, Lucid, Google Docs, Atlassian and more!</li><li> Generous company discounts!</li><li> Eligible for donation matching to over 1.5 million nonprofit organization!</li></ul> Job Details As a Staff ML Engineer / Principal Machine Learning Engineer on our team, we are looking for: <ul><li> Completed BS, MS, or PhD in Computer Science, Mathematics, Statistics, Data Science, Engineering, Operations Research, or other quantitative field</li><li> 5+ years of practical experience in building, evaluating, scaling, and deploying machine learning pipelines with Python, preferably within the AWS ecosystem</li><li> Strong programming skills in Python and understanding of core computer science principles</li><li> Experience with frameworks and libraries for machine learning & AI such as scikit-learn, HuggingFace, PyTorch, Tensorflow/Keras, MLlib, etc.</li><li> Ability to design, train, and evaluate machine learning and AI models while adhering to best practices including model selection, validation, bias/variance tuning, performance assessment, sensitivity analysis, dimensionality reduction, etc.</li><li> Experience with MLOps practices such as automated model deployment, model performance monitoring, data drift detection, etc.</li><li> Experience with building batch and streaming pipelines using complex SQL, PySpark, Pandas, and similar frameworks</li><li> Experience with orchestrating complex workflows and data pipelines using like Airflow or similar tools</li><li> Experience with architecting solutions on AWS or equivalent public cloud platforms</li><li> Experience with Git, CI/CD pipelines, Docker, Kubernetes</li><li> Experience with developing data APIs, Microservices and event driven systems to integrate ML systems</li><li> Ability to load test deployed models at scale to understand performance breakpoints</li><li> Familiarity with Large Language Models (LLMs), other generative AI modalities, and how they are applied in production</li><li> Experience in assessing and implementing new data tools to enhance the machine learning stack</li></ul> Preferred Experiences & Skills <ul><li> Knowledge in domains such as recommender systems, fraud detection, personalization, and marketing science</li><li> Knowledge of data mesh concepts</li><li> Experience with managing and architecting solutions on AWS</li><li> Familiarity with Snowflake, Monte Carlo, RDS, DynamoDB, Kafka, Fivetran, dbt, Airflow, Docker, Kubernetes, EMR, Sagemaker, DataDog, PagerDuty, Atlan, Data Observability tools and Data Governance tools</li></ul> Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.

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Senior Machine Learning EngineerSeptember 11, 2024

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Senior Machine Learning EngineerSeptember 9, 2024

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Senior Machine Learning EngineerAugust 26, 2024

Senior Machine Learning EngineerAugust 25, 2024

Senior Machine Learning Engineer Full RemoteAugust 22, 2024

Senior Machine Learning EngineerAugust 22, 2024