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 using the AWS Cloud.
ClearScale is running various projects closely related to Machine Learning, Artificial Intelligence and Internet Of Things.
One of the projects is aiming at creation of valuable insights and forecasts for stock market investors and traders based on companies fundamentals, contracts data, news feed sentiment. It requires strong expertize 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 the scratch either bring completely new techniques to the mature businesses.
Responsibilities
- Select and justify the appropriate ML approach for a given business problem
- Identify appropriate AWS services to implement ML solutions
- Design and implement scalable, cost-optimized, reliable, and secure ML solutions
- The ability to express the intuition behind basic ML algorithms
- Experience with ML and deep learning frameworks
- 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
- Apply basic AWS security practices to machine learning solutions
- Deploy and operationalize machine learning solutions
Requirements
- Masters or Ph.D. in the related field
- Hands-on experience in the practical applications of Probability and Statistics, Linear Algebra, Calculus to the field of Machine Learning
- Hands-on experience working with time series, trends, and seasonality
- Advanced knowledge of ANSI SQL (ability to write advanced analytical queries)
- 5+ years of experience in Machine Learning applications (classical and deep learning models, ensemble learning)
- 5+ years of experience in Python ML frameworks (NumPy, SciPy, scikit_learn, Pandas, Jupyter, Matplotlib)
- 2+ years of experience working with the general AWS infrastructure
Would be a plus
- In-depth knowledge in one or more Machine Learning areas: Deep Learning, NLP, Recommender Systems, Reinforcement Learning
- In-depth knowledge of Tensorflow/Keras
- In-depth knowledge of AWS SageMaker and one or more of the following related algorithms: Linear Learner, XGBoost, Seq2Seq, DeepAR, BlazingText, Object2Vec, Object Detection, Image Classification, Semantic Segmentation, Random Cut Forest, Neural Topic Model, Latent Dirichlet Allocation, K-Nearest-Neighbors, K-Means, Principal Component Analysis, Factorization Machines, IP Insights, Reinforcement Learning, Automated Model Tuning
- Hands-on experience with Docker, Internet of Things
- In-depth knowledge of one or more of the following AWS technologies: S3, Kinesis, Glue, Redshift, RDS, Aurora, DynamoDB, ElastiCache, Data Pipeline, Batch, DMS, Step Functions, Athena, QuickSight, EMR, SageMaker, Ground Truth, Comprehend, Translate, Transcribe, Polly, Rekognition, Forecast, Lex, Personalize, Textract, DeepRacer, DeepLens, IoT
- Hands-on experience with ElasticSearch
- Hands-on experience with Apache Spark MLLib (Zeppelin)
- Hands-on experience with OpenCV
- Hands-on experience with advanced Python data frameworks (Seaborn, PyTorch, Dask)
Valid AWS certificates would be a great plus (not a must):
- AWS Certified Solutions Architect – (Associate / Professional)
- AWS Certified DevOps Engineer – (Professional)
- AWS Certified SysOps Administrator – (Associate)
- AWS Certified Developer – (Associate)
You’ll be a great fit 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 desire to work with some of the world’s top brands
- 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:
- High compensation paid every two weeks in USD
- Completely REMOTE work: we trust our employees to work from anywhere they please
- Very flexible schedule consisting of 40 hours per week, Slack for communication
- Bureaucracy-free environment
- We adore change-makers and creators so you'll be able to influence our processes
- Highly skilled project teams consisting of 3-5 members (senior level professionals)
- Wise projects rotation
- Paid AWS certifications
