Cloud Data Ops / ML Engineer (23-28k PLN net b2b)

Pracujw; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a talented Machine Learning Developer or Data Scientist to join their dynamic team. This exciting role involves building, training, and deploying machine learning models while working on innovative projects that leverage AI and IoT technologies. You'll have the opportunity to contribute to valuable insights for stock market investors and develop recommendation engines for various sectors. With a commitment to professional growth and a flexible remote work environment, this position promises to be both rewarding and impactful for those passionate about technology and data-driven solutions.

Benefits

High hourly rate

Flexible schedule

Annual rate review

Paid AWS certifications

Referral program

Qualifications

• 1+ years of experience in AWS and Python for DevOps/SysOps tasks.
• Strong expertise in ML algorithms and data preparation techniques.

Responsibilities

• Design and implement scalable ML solutions for business problems.
• Train and evaluate machine learning models for various applications.

Skills

Machine Learning

Data Science

Neural Networks

Natural Language Processing (NLP)

Feature Engineering

Data Visualization

AWS CloudFormation

Python

ETL Pipelines

SQL

Education

Bachelor in Computer Science

Master in Statistics

Tools

AWS

Apache Airflow

Terraform

TensorFlow

PyTorch

Jira

Confluence

Job description

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, and 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

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

Requirements

1. Bachelor or Specialist/Masters in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field
2. 1+ years of hands-on experience in AWS CloudFormation
3. 1+ years of hands-on experience in Python-based on DevOps/SysOps tasks
4. 1+ years of hands-on experience in orchestrating ETL/ML pipelines
5. Additionally, it would make us smile even more if you have:
1. 1+ years of hands-on knowledge of Apache Airflow or AWS Step Functions or other similar orchestration frameworks
2. 1+ years of hands-on knowledge of Serverless Framework
3. 1+ years of hands-on knowledge of AWS Lambda
4. 1+ years of hands-on knowledge of Terraform
5. AWS certifications, especially AWS Machine Learning Specialty
6. 2+ years of experience in Machine Learning/Data Science applications (classical and deep learning models, ensemble learning)
7. 2+ years of experience in Python ML frameworks (NumPy, SciPy, scikit_learn, Pandas, Jupyter, Matplotlib)
8. 2+ years hands-on experience with general AWS infrastructure components
9. Knowledge of ANSI SQL (ability to write advanced analytical queries)
10. Knowledge in one or more Machine Learning areas: Deep Learning, NLP, Recommender Systems, Reinforcement Learning
11. Knowledge of Tensorflow/Keras
12. Hands-on experience with Apache Spark MLLib (Zeppelin)
13. Hands-on experience with OpenCV
14. Hands-on experience with advanced Python data frameworks (Seaborn, PyTorch, Dask)

ClearScale can be a great fit for you if

1. You'd like to work remotely with a flexible schedule
2. You thrive in a small, dynamic, and agile team that encourages you to learn and grow
3. You enjoy finding solutions to interesting problems and figuring out how things work
4. You welcome having autonomy with complex tasks
5. 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 other's 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.