Professional Services III - AMZ13646.11
About The Position
Multiple Positions Available: 1. Leverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence. 2. Build software solutions. 3. Work closely with teams of Data Scientists and Data Engineers. 4. Collaborate with our Data Scientists to deliver ground-breaking solutions for customers. 5. Expose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field. 6. Utilize familiarity with cloud solutions and DevOps. 7. Work with a team of data scientists to build end to end solutions. 8. Create reliable, scalable, and high-performance ML / Al solutions. 9. Utilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision) 10. Utilize Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PUSQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms). 11. Utilize Architecture experience: data pipelines, distributed computing engines. 12. Support efforts in the Enterprise, loT, and start-up communities. 13. Domestic or international travel up to 50% to perform role responsibilities may be required
Requirements
- Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, or a related field and 3 years of experience in the job offered or a related occupation.
- 3 years of experience with ML algorithms, training models, hyperparameter tuning, distributed model training, hosting and deployment of models, ML pipelines (able to whiteboard common components if ML pipelines)
- 3 years of Data Visualization experience: Python/R frameworks such as matplotlib, seaborn, ploty, ggplot2; JavaScript frameworks such as D3
- 3 years of experience with Python (NumPy, SciPy, Pandas, SciKitlearn, TensorFlow/PyTorch/MXNet)
- 3 years of Machine Learning experience: supervised learning (regression), supervised learning (classification)
Nice To Haves
- All applicants must meet all the above listed requirements.
Responsibilities
- Leverage Big Data, AppDev, or DevOps experience and apply it to stateof-the-art technologies in Machine Learning and Artificial Intelligence.
- Build software solutions.
- Work closely with teams of Data Scientists and Data Engineers.
- Collaborate with our Data Scientists to deliver ground-breaking solutions for customers.
- Expose to modern Machine Learning best practices and delivering AWS solutions in this high-demand field.
- Utilize familiarity with cloud solutions and DevOps.
- Work with a team of data scientists to build end to end solutions.
- Create reliable, scalable, and high-performance ML / Al solutions.
- Utilize Machine Learning Experience: ML frameworks, ML algorithms (understanding of classification, regression, clustering, embedding, NLP, and computer vision)
- Utilize Software Development Experience: scripting languages (Python, R), database languages (SQL, PL/SQL, PG-PUSQL), version control (GitHub, Bitbucket, AWS Code Commit, data structures, algorithms).
- Utilize Architecture experience: data pipelines, distributed computing engines.
- Support efforts in the Enterprise, loT, and start-up communities.
- Domestic or international travel up to 50% to perform role responsibilities may be required
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
