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

ClearScale; Poland; Remote; PLN 180,000 - 240,000; Full time

Job summary

A cloud consulting company based in Poland is seeking a Machine Learning Developer. The role involves building and deploying machine learning models and designing scalable solutions. Candidates must have a strong background in Python and AWS, along with extensive experience in machine learning technologies. The company offers a flexible work schedule and a dynamic team environment.

Benefits

High hourly rate in USD

Full-time contract

Payments every 2 weeks

Annual Rate Review

Referral program

Qualifications

• 1+ years of hands-on experience in AWS CloudFormation.
• 1+ years of exceptional Python-based DevOps/SysOps expertise.
• Experience in orchestrating ETL/ML pipelines.

Responsibilities

• Select appropriate ML approaches for business problems.
• Design and implement scalable ML solutions.
• Analyze and visualize data for machine learning.

Skills

Machine Learning

Python

AWS

Data Analysis

Neural Networks

NLP

Education

Bachelor's or Master's in Computer Science, Statistics, or related field

Tools

Apache Airflow

AWS Lambda

Terraform

TensorFlow/Keras

Python Data Frameworks

Job description

Overview

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 experience in AWS CloudFormation
• 1+ years of hands-on experience in Python-based on DevOps/SysOps tasks
• 1+ years of hands-on experience in orchestrating ETL/ML pipelines
• Additionally, it would make us smile even more if you have:
• 1+ years of hands-on knowledge of Apache Airflow or AWS Step Functions or other similar orchestration frameworks
• 1+ years of hands-on knowledge of Serverless Framework
• 1+ years of hands-on knowledge of AWS Lambda
• 1+ years of hands-on knowledge of Terraform
• 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, Reinforcement Learning
• Knowledge of Tensorflow/Keras
• Hands-on experience with Apache Spark MLLib (Zeppelin)
• Hands-on experience with OpenCV
• Hands-on experience with advanced Python data frameworks (Seaborn, PyTorch, Dask)

Benefits and fit

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

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.