Hire AWS SageMaker (Amazon SageMaker) Developer

AWS SageMaker (Amazon SageMaker)
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AWS SageMaker (Amazon SageMaker)

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Python
AWS SageMaker (Amazon SageMaker)
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
C++
Java
Apache Spark
Matplotlib
NLTK
Pandas
PySpark
SciPy
Databricks
Jupyter Notebook
MapReduce
Apache Hadoop
Google BigQuery
Greenplum
MongoDB
MySQL
NoSQL
PostgreSQL
SQL
AWS
IBM Spectrum LSF
Slurm
AWS Batch
AWS Lambda
AWS S3
Docker
Git
Linux
PyCharm
Shell Scripts
Multi-threading
YAML
...

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

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Seniority Middle (3-5 years)
Location Hannover, Germany
AWS 5yr.
Azure 5yr.
TensorFlow 5yr.
Google PageSpeed Insights
Python Requests Library 5yr.
AWS SageMaker (Amazon SageMaker)
BERT
LLaMA
Mlflow
Whisper
FastAPI
Immutable.js
k-NN
Microsoft Azure SQL Server
AWS CloudWatch
AWS S3
Azure Blob Storage
Azure Monitor
Azure VM
Google Docs
Prometheus
Kafka
Amazon Machine learning services
AWS ML
AWS SageMaker
GPT
Illustration and icons
Palm OS
Qdrant
RDS
tf-serving
Weaviate
...

Software Engineer with over 5 years of AI implementation experience, possessing deep expertise in machine learning and natural language processing. Proven track record in developing AI strategies, implementing automated document workflows, and training teams in AI tool adoption. Proficient in a range of technologies including AWS, Azure, Docker, Kubernetes, and various machine learning libraries (TensorFlow, PyTorch, Scikit-learn). Strong background in DevOps with experience setting up CI/CD pipelines and database administration, paired with the ability to produce precise technical documentation. Notably contributed to improved forecasting and customer service through predictive modeling. Holds a Master's degree in Project Management, reinforcing a solid foundation in both the practical and theoretical aspects of technology and project execution.

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Seniority Senior (5-10 years)
Location Lviv, Ukraine
Python 8yr.
AWS
R 1yr.
AWS SageMaker (Amazon SageMaker)
BERT
Keras
Kubeflow
Mlflow
NumPy
OpenCV
PyTorch
Spacy
TensorFlow
C++
Apache Spark
Beautiful Soup
NLTK
Pandas
PySpark
Apache Airflow
AWS Athena
Power BI
AWS ElasticSearch
AWS Redshift
Clickhouse
SQL
AWS EC2
AWS ECR
AWS EMR
AWS S3
AWS Timestream (Amazon Time Series Database)
Eclipse
Grafana
Kafka
MQQT
Kubernetes
OpenAPI
ArcGIS
GPT
Guroby
ONNX
Open Street Map
Rasa NLU
...

- 10+ years experience working in the IT industry; - 8+ years experience working with Python; - Strong skills with SQL; - Good abilities working with R and C++; - Deep knowledge of AWS; - Experience working with Kubernetes (K8s), and Grafana; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Experience working with Amazon S3, Athena, EMR, Redshift; - Specialised in Data Science and Data Analysis; - Work experience as a team leader; - Upper-Intermediate English.

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Seniority Expert (10+ years)
Location Poland
NLP
AI
Data Lake
Microsoft Azure API
AWS SageMaker (Amazon SageMaker)
BERT
Kubeflow
LLaMA
Mlflow
OpenCV
PyTorch
Scikit-learn
TensorFlow
Whisper
FastAPI
Immutable.js
k-NN
Microsoft Azure SQL Server
AWS
Azure
Azure ML
AKS
Azure Blob Storage
Azure DevOps
Azure Monitor
AWS Bedrock
AWS CDK
AWS Cloudformation
AWS CloudWatch
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS S3
Prometheus
Docker
Github Actions
GitLab CI
Helm
Kubernetes
Kafka
Amazon Machine learning services
AWS ML
AWS SageMaker
Enterprise Resource Planning
ERP
Google PageSpeed Insights
GPT
Hugging Face
LangChain
LlamaIndex
Palm OS
Pinecone
Qdrant
RDS
Weaviate
...

Software engineer with over 8 years of experience, including 5+ years specialized in AI. Proven track record in leading AI strategy, implementing machine learning models, and training teams on AI tool usage. Expertise in Python and various ML libraries (e.g., TensorFlow, PyTorch), as well as in CI/CD, virtualization, and API development. Adept in managing cloud infrastructures (AWS, Azure) and ensuring system performance and efficiency. Holds a Master’s in Project Management, indicating a strong foundation in leading complex technical initiatives.

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Seniority Expert (10+ years)
Location Lviv, Ukraine
Python 6yr.
TensorFlow 5yr.
AWS
OpenCV 6yr.
Scikit-learn 6yr.
Flask 6yr.
AWS Cloud Data Science services 6yr.
AWS SageMaker (Amazon SageMaker)
NumPy
R
Dlib
Matplotlib
Pandas
Seaborn
Jupyter Notebook
AWS DynamoDB
AWS API Gateway
AWS Boto3
AWS EC2
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
Api Gateway
Bash
Docker
Ffmpeg
Git
Linux
Windows
MatLab
Data Science
Statsmodels
...

- 6 years of experience - Senior Data Scientist with specialization in Machine Learning and Computer Vision - Advanced English.

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Seniority Senior (5-10 years)
Location Cyprus
Kafka
Apache Airflow
Apache Spark
Python 6yr.
SQL 6yr.
Databricks 2yr.
Microsoft Azure Data Factory 2yr.
AWS SageMaker (Amazon SageMaker)
TensorFlow
FastAPI
Pandas
PySpark
Jupyter Notebook
Apache Hadoop
AWS Redshift
Clickhouse
dbt
Firebase Realtime Database
Google BigQuery
HDFS
Microsoft Azure SQL Server
MySQL
PostgreSQL
Snowflake
GCP
AWS Aurora
AWS CloudTrail
AWS CloudWatch
AWS Lambda
AWS Quicksight
AWS R53
AWS S3
Azure MSSQL
CI/CD
Kubernetes
Docker
Github Actions
Prometheus
Airbyte
AWS SageMaker
DAX Studio
Looker Studio
OpenMetadata
Trino
Unix\Linux
...

- Data Engineer with 6+ years of experience in data integration, ETL, and analytics; - Expertise in Spark, Kafka, Airflow, and DBT for data processing; - Experience in building scalable data platforms for finance, telecom, and investment domains; - Strong background in AWS, GCP, Azure, and cloud-based data warehousing; - Led data migration projects and implemented real-time analytics solutions; - Skilled with Snowflake, ClickHouse, MySQL, and PostgreSQL; - Experience in optimizing DWH performance and automating data pipelines; - Experience with CI/CD, data governance, and security best practices.

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Seniority Senior (5-10 years)
Location Tashkent, Uzbekistan
QA Automation 5yr.
Python
CI/CD
AWS
AWS SageMaker (Amazon SageMaker)
Java
JavaScript
Android Studio
CSS
HTML
Pandas
Plotly
pytest
Apache Airflow
Periscope
Power BI
AWS Redshift
MongoDB
MySQL
PostgreSQL
Snowflake
SQL
Zoho
AWS ECR
AWS Elastic Kubernetes Service (EKS)
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
AWS Secrets Manager
AWS SQS
Agile
Kanban
Scrum
SDLC
Waterfall
Allure
API testing
Charles Proxy
Fiddler
Functional Testing
Hiptest
JMeter
Katalon
non-functional testing
Postman
QA
Selenium Webdriver
Sitechko
TestLink
Android
PyCharm
Swagger
Atlassian Trello
Jira
Redmine
BitBucket
Git
CircleCI
Jenkins
Datadog
Graylog
Sentry
Docker
Vagrant
iOS
macOS
Windows
TM4J
...

- 5 years with QA automation - Strong testing theory understanding. Defect life cycle and issue workflow understanding, Experience in creating and executing test cases. Reporting - Experience with data and BI tools - DevOps experience with CI/CD, pipelines, Docker, AWS, SQL

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Seniority Senior (5-10 years)
Location Lviv, Ukraine
PHP 6yr.
Ruby 6yr.
JavaScript 6yr.
MySQL 6yr.
PostgreSQL 6yr.
AWS SageMaker (Amazon SageMaker)
Ajax
DHTML
HTML
CakePHP
CodeIgniter
Ruby on Rails
Apache HTTP Server
Drupal
TestRail
Adobe Dreamweaver
GPO (Group Policy Object)
Sitecore
...

Software engineer with 6 years of application development expertise in PHP 5.x and RoR frameworks, fortified by a robust foundation with an MCA in Computer Applications and a B.Sc in Computer Science. Demonstrates proficiency in a diverse stack including PHP, Ruby, MySQL, POSTGRES, JavaScript, Ajax, CSS, and mastery of frameworks such as Codeigniter, CakePHP, and Rails, as well as CMS like Drupal. Exhibits strong analytical and project management skills complemented by a history of driving full SDLC for a variety of projects like Photobin, YFE, iSafeTalk, and iQGlobal. Leverages version control systems such as SVN and GIT, development tools like Dreamweaver, and proficiency in Linux and Apache to deliver robust applications. Excels in collaborative environments, showing seasoned leadership in guiding technical team members and a track record of technical problem-solving and innovation.

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Seniority Senior (5-10 years)
Location India

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager
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How and where is AWS SageMaker (Amazon SageMaker) used?

  • Financial Forecasting: Predicting market trends
  • Healthcare Analytics: Diagnosing diseases
  • Retail Personalization: Customizing shopping experiences
  • Fraud Detection: Identifying suspicious activities
  • Image Recognition: Classifying images accurately
  • Natural Language Processing: Analyzing text data
  • Recommendation Systems: Suggesting personalized items
  • Time Series Forecasting: Predicting future events
  • Anomaly Detection: Spotting unusual patterns
  • Churn Prediction: Anticipating customer behavior

Compare Junior, Middle, Senior, and Expert/Team Lead AWS SageMaker (Amazon SageMaker) Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 yearsResponsibilities & Activities:

  • Assist in model development
  • Implement basic ML algorithms
  • Manage data preprocessing
$70,000
Middle2-4 yearsResponsibilities & Activities:

  • Develop ML models
  • Optimize model performance
  • Collaborate with data scientists
$90,000
Senior4-6 yearsResponsibilities & Activities:

  • Lead ML projects
  • Architect scalable ML solutions
  • Guide junior developers
$110,000
Expert/Team Lead6+ yearsResponsibilities & Activities:

  • Define ML strategies
  • Provide technical leadership
  • Drive innovation in ML
$130,000

Quick Facts about AWS SageMaker (Amazon SageMaker).

  • Amazon SageMaker was born in 2017, a mere infant in tech years.
  • AI projects love cuddling up to AWS SageMaker for a cozy coding session.
  • To enter the AWS SageMaker club, you just need a sprinkle of coding magic.
  • TensorFlow gives AWS SageMaker a fist bump as the coolest tech in town.
  • Did you know? AWS SageMaker can juggle more data than a circus clown!

TOP AWS SageMaker (Amazon SageMaker) Related Technologies

  1. TensorFlow
  2. (Author: Google, Year: 2015)

  3. PyTorch
  4. (Author: Facebook, Year: 2016)

  5. XGBoost
  6. (Author: Tianqi Chen, Year: 2016)

  7. Scikit-learn
  8. (Author: Scikit-learn developers, Year: 2007)

What are top AWS SageMaker (Amazon SageMaker) instruments and tools?

  • Amazon SageMaker Studio: An integrated development environment for ML
  • Amazon SageMaker Autopilot: Automates ML model development
  • Amazon SageMaker Ground Truth: Data labeling service
  • Amazon SageMaker Debugger: Debugs ML models
  • Amazon SageMaker Experiments: Organizes ML experiments
  • Amazon SageMaker Model Monitor: Monitors ML model quality
  • Amazon SageMaker Processing: Data processing for ML
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Talk to Our Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

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FAQs on AWS SageMaker (Amazon SageMaker) Development

What is a AWS SageMaker (Amazon SageMaker) Developer? Arrow

A AWS SageMaker (Amazon SageMaker) Developer is a specialist in the AWS SageMaker (Amazon SageMaker) framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a AWS SageMaker (Amazon SageMaker) Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened AWS SageMaker (Amazon SageMaker) Developers, ensuring you find the right talent quickly and efficiently.

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If your project involves developing applications or systems that rely heavily on AWS SageMaker (Amazon SageMaker), then hiring a AWS SageMaker (Amazon SageMaker) Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified AWS SageMaker (Amazon SageMaker) Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a AWS SageMaker (Amazon SageMaker) Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

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Yes, Upstaff.com allows you to hire AWS SageMaker (Amazon SageMaker) Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of AWS SageMaker (Amazon SageMaker) Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

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Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

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Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.