Dallas, TX · On-site
$101K - $133K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
Dallas, TX · On-site
$101K - $133K/yr
Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale ...
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... This includes helping customers understand how tools like Amazon Kiro are redefining the developer ...
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... This includes helping customers understand how tools like Amazon Kiro are redefining the developer ...
Plano, TX · On-site +1
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
Plano, TX · On-site +1
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
Plano, TX · On-site +1
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
Plano, TX · On-site +1
As a Data Scientist Lead - WFP Machine Learning Scientist, within JPMorganChase, you will engage in ... Prior experience with public cloud technologies such as Amazon Web Services(AWS), Azure or Google ...
Dallas, TX · On-site
$62.25 - $85/hr
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
Dallas, TX · On-site
$62.25 - $85/hr
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery ... machine learning, and serverless technologies - Knowledge of security and compliance standards ...
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... This includes helping customers understand how tools like Amazon Kiro are redefining the developer ...
Dallas, TX · On-site
$62.25 - $82/hr
... machine learning. You'll help customers get the most out of the cloud at every stage of their ... This includes helping customers understand how tools like Amazon Kiro are redefining the developer ...
Dallas, TX · On-site
$54.75 - $75/hr
Qualifications Required: * 2+ years of experience with artificial intelligence or machine learning concepts and algorithms * 5+ years of experience with Amazon Web Services, Microsoft Azure, Google ...
Dallas, TX · On-site
$54.75 - $75/hr
Qualifications Required: * 2+ years of experience with artificial intelligence or machine learning concepts and algorithms * 5+ years of experience with Amazon Web Services, Microsoft Azure, Google ...
Irving, TX · On-site
$78 - $84/hr
Azure Machine Learning * Azure Functions * Azure App Services * Azure DevOps * AWS Lambda * Amazon SageMaker * Google Vertex AI * Google Cloud Run * Experience with: * Large Language Models (LLMs)
Irving, TX · On-site
$78 - $84/hr
Azure Machine Learning * Azure Functions * Azure App Services * Azure DevOps * AWS Lambda * Amazon SageMaker * Google Vertex AI * Google Cloud Run * Experience with: * Large Language Models (LLMs)
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... You'll also use big data and work with scientists on our partner team to use machine learning to ...
At Amazon Web Services (AWS), we are inventing the future of cloud computing with a team of ... You'll also use big data and work with scientists on our partner team to use machine learning to ...
Irving, TX · On-site +1
$87K - $151K/yr
... of advanced machine learning and generative AI solutions. In this role, you will work at the ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
Irving, TX · On-site +1
$87K - $151K/yr
... of advanced machine learning and generative AI solutions. In this role, you will work at the ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
... in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store) * 3+ years ... AWS Machine Learning Specialty certification
... in Amazon SageMaker (Studio, Pipelines, Model Registry, Endpoints, Feature Store) * 3+ years ... AWS Machine Learning Specialty certification
Irving, TX · On-site +1
$87K - $151K/yr
... of advanced machine learning and generative AI solutions. In this role, you will work at the ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
Irving, TX · On-site +1
$87K - $151K/yr
... of advanced machine learning and generative AI solutions. In this role, you will work at the ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... or support machine learning workflows * Experience working with cyber security cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
... machine learning workflows * Experience working with cybersecurity cloud platforms such as Google SecOps, Amazon Web Services (AWS), or Microsoft Azure, and exposure to security operations center ...
Dallas, TX · On-site
$64 - $84/hr
... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...
Quick apply
Dallas, TX · On-site
$64 - $84/hr
... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...
Dallas, TX · On-site
$64 - $84/hr
... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...
Dallas, TX · On-site
$64 - $84/hr
... machine learning (ML) technologies to enhance business operations, customer experiences, and ... Knowledge of AWS services like Amazon SageMaker, AWS Bedrock, Redshift, Glue, Kinesis, Athena, and ...
Irving, TX · On-site
$87K - $151K/yr
... machine learning models. * Derive data-driven insights using supervised, unsupervised ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
Irving, TX · On-site
$87K - $151K/yr
... machine learning models. * Derive data-driven insights using supervised, unsupervised ... Experience working with LLM platforms such as Google Model Garden, Amazon Bedrock, or equivalent ...
$25.2K - $30.8K
5% of jobs
$32.7K is the 25th percentile. Wages below this are outliers.
$30.8K - $36.5K
59% of jobs
$36.5K - $42.1K
9% of jobs
$42.5K is the 75th percentile. Wages above this are outliers.
$42.1K - $47.7K
17% of jobs
$47.7K - $53.3K
4% of jobs
$53.3K - $58.9K
2% of jobs
$58.9K - $64.6K
3% of jobs
$64.6K - $70.2K
0% of jobs
$70.2K - $75.8K
0% of jobs
$75.8K - $81.4K
0% of jobs
$81.4K - $87.1K
0% of jobs
$25.2K
$42.1K
$87.1K
As an Amazon Machine Learning professional, your daily work may involve designing and deploying machine learning models, analyzing large datasets, and collaborating with cross-functional teams such as data engineers and product managers. You’ll frequently participate in code reviews, troubleshoot complex algorithms, and help optimize model performance for various Amazon products and services. Projects often range from natural language processing and recommendation systems to forecasting and computer vision initiatives. This dynamic environment offers exposure to cutting-edge innovation and opportunities to grow your technical and leadership skills within a global technology leader.
To excel in an Amazon Machine Learning role, you should possess strong expertise in machine learning algorithms, statistical analysis, programming (Python, Java, or Scala), and typically hold a degree in computer science, engineering, or a related field. Familiarity with AWS cloud services (like SageMaker, EC2, S3), big data frameworks, and relevant certifications such as AWS Certified Machine Learning are highly valuable. Effective communication, problem-solving skills, and the ability to work collaboratively in diverse teams help distinguish top candidates. These skills are crucial for developing scalable AI solutions, translating business problems into technical models, and successfully integrating them into Amazon’s large-scale operations.
An Amazon Machine Learning job involves developing, deploying, and optimizing machine learning models to improve products and services within Amazon. Professionals in this role work with large-scale data, build predictive models, and collaborate with engineering and business teams to drive data-driven decisions. Responsibilities may include data preprocessing, feature engineering, model training, and deploying machine learning solutions in production. Strong programming skills, proficiency in ML frameworks, and experience with AWS services like SageMaker are often required.
$101K - $133K/yr
Full-time
Re-posted 25 days ago
Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
Tiger Analytics is seeking an experienced Senior Data Engineer to join our team, specifically focused on building scalable Generative AI architectures within the AWS ecosystem. You will architect the data foundations that power LLMs and autonomous agents for our Fortune 500 partners.
Key Responsibilities:
* GenAI Infrastructure: Architect data pipelines using Amazon Bedrock and Amazon SageMaker to build, deploy, and scale Generative AI applications.
* Vector Foundations: Implement and optimize vector search capabilities using Amazon OpenSearch Serverless or specialized vector engines for RAG (Retrieval-Augmented Generation).
* Serverless Data Engineering: Build highly scalable, event-driven ETL pipelines using AWS Lambda, AWS Glue, and Amazon Kinesis.
* Modern Data Stack: Manage large-scale data lakehouses leveraging Amazon S3, AWS Lake Formation, and Amazon Redshift.
* LLM Ops: Integrate AWS Step Functions and SageMaker Pipelines to automate the fine-tuning and deployment of foundation models.
Requirements
* Experience: 8-12 years in Data Engineering with a heavy focus on the AWS Cloud stack.
* AWS Expertise: Deep hands-on experience with Glue, Athena, EMR, and Redshift.
* AI/ML Tools: Proficiency in LangChain or LlamaIndex integrated with AWS services to handle unstructured data (text, images, PDFs).
* DevOps & IAC: Experience deploying infrastructure using AWS CDK or Terraform.
* Core Skills: Advanced SQL, Python and PySpark skills tailored for distributed processing on AWS.
Benefits
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.
Sourced by ZipRecruiter
Business management consulting
201 - 500 Employees
Santa Clara, CA, US
2011
