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Online Aws Machine Learning Jobs (NOW HIRING)

Itransition Group

NY · On-site

$100 - $140/hr

Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow) * Hands‑on experience working with tabular/time series data with usage of ML * Solid understanding of machine learning ...

CGI Inc.

Senior AWS Cloud Architect

Lafayette, LA · On-site

$61.75 - $81.25/hr

  • Retirement

  • PTO

AWS Machine Learning * AWS Machine Learning * Cloud architecture * Docker * GitLab What you can expect from us: Together, as owners, let's turn meaningful insights into action. Life at CGI is rooted ...

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Online Aws Machine Learning information

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How much do online aws machine learning jobs pay per year?

As of Aug 15, 2026, the average yearly pay for online aws machine learning in the United States is $40,596.00, according to ZipRecruiter salary data. Most workers in this role earn between $25,000.00 and $43,500.00 per year, depending on experience, location, and employer.

What is the difference between Online Aws Machine Learning vs Data Scientist?

AspectOnline Aws Machine LearningData Scientist
Required CredentialsAWS certifications, machine learning coursesStatistics, data analysis, programming skills
Work EnvironmentCloud platforms, remote or office-basedResearch labs, corporate offices, remote
Industry UsageCloud services, AI solutions, tech companiesBusiness analytics, research, finance
Common Search/ComparisonYesNo

Online Aws Machine Learning focuses on deploying machine learning models using AWS cloud services, emphasizing cloud infrastructure and scalable solutions. Data Scientists analyze data, develop models, and interpret results across various industries. While both roles involve machine learning, Online Aws Machine Learning is more specialized in cloud deployment, whereas Data Scientists focus on data analysis and model development.

What cities are hiring for Online Aws Machine Learning jobs?

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What are the most commonly searched types of Aws Machine Learning jobs?

The most popular types of Aws Machine Learning jobs are:

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Online Aws Machine Learning jobs near you

Machine Learning

Itransition Group

NY • On-site

$100 - $140/hr

Other

Posted 9 days ago

Job description

We are looking for a Machine Learning Researcher to design, develop, and evaluate predictive models for financial markets. You will work at the intersection of quantitative research, machine learning, and real-world trading constraints, contributing to alpha generation and risk modeling.

office remote Poland

Requirements
  • 3+ years of relevant experience
  • Strong Python skills and experience with ML ecosystems (AWS Sagemaker, MLFlow)
  • Hands‑on experience working with tabular/time series data with usage of ML
  • Solid understanding of machine learning fundamentals: Supervised learning, feature engineering, model evaluation; Overfitting, regularization, cross‑validation
  • Knowledge of statistical methods and probability theory
  • Experience with experiment design and offline evaluation
  • Ability to work with large datasets and build efficient data processing pipelines
  • Familiarity with SQL and data querying
  • Strong analytical and problem‑solving mindset
  • Ability to clearly communicate findings and trade‑offs
  • Ownership of tasks from research to implementation
  • Curiosity and willingness to explore new approaches
  • Level of English enough for efficient technical and business communication with native speakers
Nice to have
  • Experience in financial machine learning, quantitative finance, or trading systems
  • knowledge of signal generation, alpha research, portfolio construction or risk modeling
  • Experience with: Deep learning for tabular/time series data (Transformers, RNNs, etc.); Probabilistic modeling or Bayesian methods
  • Hands‑on experience with production ML systems (MLOps, monitoring, retraining)
  • Ability to define research direction and identify high‑impact opportunities
  • Ability to translate business problems into ML solutions
Responsibilities
  • Develop and validate machine learning models for financial time series and cross‑sectional data
  • Conduct research on alpha signals, feature engineering, and predictive modelling techniques
  • Design experiments and backtesting frameworks with proper statistical rigor
  • Work with large‑scale structured and unstructured financial datasets
  • Collaborate with engineering teams to deploy models into production pipelines
  • Analyze model performance, stability, and robustness under changing market conditions
  • Improve data pipelines, labeling strategies, and evaluation methodologies
We offer
  • Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
  • Competitive compensation that depends on your qualification and skills
  • Career development system with clear skill qualifications
  • Flexible working hours aligned to your schedule
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