About the role

ClearScale is looking for an individual who performs a Machine Learning Developer or Data Scientist role. The successful candidate should demonstrate the ability to build, train, tune, and deploy machine learning (ML) models.

About the project

ClearScale is running various projects closely related to Machine Learning, Artificial Intelligence, and the Internet Of Things.

One of the projects is aiming at the creation of valuable insights and forecasts for stock market investors and traders based on companies fundamentals, contracts data, news feed sentiment. It requires strong expertise in neural networks, NLP, and various ML algorithms.

Others include recommendation engines for e-commerce companies as well as for public/private educational organizations.

These projects either startups started from scratch or bring completely new techniques to mature businesses.

Responsibilities

Select and justify the appropriate ML approach for a given business problem
Design and implement scalable, cost-optimized, reliable, and secure ML solutions
The ability to express the intuition behind basic ML algorithms
Create data repositories for machine learning
Identify and implement a data-ingestion solution
Identify and implement a data-transformation solution
Sanitize and prepare data for modeling
Perform feature engineering (missing and unbalanced data, outliers)
Analyze and visualize data for machine learning
Train machine learning models
Perform model tuning (learning rate, regularization techniques), hyperparameter optimization
Evaluate machine learning models
Deploy and operationalize machine learning solutions
Requirements

Bachelor or Specialist/Masters in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
1+ years of hands-on Amazon SageMaker
1+ years of hands-on Python-based ML (Deep Learning ML, non-Deep Learning ML)
Additionally, it would make us smile even more if you have:

1+ years of hands-on SQL knowledge
AWS certifications, especially AWS Machine Learning Specialty
2+ years of experience in Machine Learning/Data Science applications (classical and deep learning models, ensemble learning)
2+ years of experience in Python ML frameworks (NumPy, SciPy, scikit_learn, Pandas, Jupyter, Matplotlib)
2+years hands-on experience with general AWS infrastructure components
Knowledge of ANSI SQL (ability to write advanced analytical queries)
Knowledge in one or more Machine Learning areas: Deep Learning, NLP, Recommender Systems
Knowledge of Tensorflow/Keras


ClearScale can be a great fit for you if

You'd like to work remotely with a flexible schedule
You thrive in a small, dynamic, and agile team that encourages you to learn and grow
You enjoy finding solutions to interesting problems and figuring out how things work
You welcome having autonomy with complex tasks
You are passionate about using your experience and expertise to inspire the team


We offer

# 1 Fair wage

High hourly rate in USD
Full-time, 40 hours per week contract. It’s your main and permanent place of work, not a freelance job
Payments every 2 weeks
Annual Rate Review
Referral program


# 2 Independence

From the office location or office conditions. The only requirement - fast and reliable internet.
From big team buzz - we are the community of professional engineers, valuing each others' time and effort
From corruption and bureaucracy - we operate in an honest and competitive environment and we are one of AWS's top 10 key partners.


# 3 Professional Development

Work with innovative Silicon Valley companies and traditional American companies at the cutting edge of digital transformation
We work with the newest technologies in AWS cloud and open-source tools like Jira, Confluence, Lucidchart, Slack, etc
Paid AWS certifications: we provide training material, paid time off, and the examination itself
Horizontal and vertical career growth - We keep growing and people keep growing with us
A nice bonus if you are ready to start at ClearScale quickly


About ClearScale



ClearScale (headquartered in San Francisco, California, USA) - AWS Premier Consulting Partner has been offering a full range of professional cloud computing services for over 10 years, including architecture design, DevOps automation, refactoring and cloud-native applications development, integration, migration, solving all sorts of security issues (from just a security check to preventing cyber-attacks) and 24/7 technical support using the best-advanced technology.

We were the third company to gain a new AWS competence: Applied AI and Machine Learning Operations (MLOps). Less than 15 partners have this competency!

Since the very foundation of the company, we work 100% remotely from various cities and countries. We work on a high trust basis. The professional reputation of our employees is of the highest value.