Machine Learning Developer (AWS)

Удалёнка | от 320 000 руб. | www.clearscale.com

О компании:

ClearScale is a leading cloud consulting company that provides a wide range of services including cloud architecture design, application development, system integration, cloud migration, automation, and managed services. We hold a prestigious AWS Premier Consulting partner status and help Fortune 500 enterprises, mid-sized businesses, and startups succeed with ambitious, challenging, and unique cloud projects. We architect, develop, and launch innovative and sophisticated solutions using the best cutting-edge cloud technologies.

ClearScale is growing quickly and there is a high demand for the services we provide. Clients come to us for our deep experience in cloud infrastructure, migrations, DevOps, and automation

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 using the AWS Cloud.

We are hiring for a 2-year-long project related to a migration from a 3rd party cloud to AWS, including applications re-factoring to microservice architecture and using cloud-native AWS services. You will be part of the distributed system engineering team, responsible for preparing infrastructure, re-hosting applications, re-designing, load testing, migration of high-load applications, workload optimization, and operational support. This is a mass migration led by ClearScale with thousands of servers on the inventory list. The technologies include Kubernetes (EKS), Redshift, Kinesis, Kinesis Analytics, Aurora, DocumentDB, DynamoDB, DB2, Oracle, Mongo, Hadoop/Spark, MSSQL, IIS, Kafka, Elasticsearch, Solr, Redis, Kubernetes, and a few more.

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

APPLY

Рунова Алина, Recruiting Director +7 (923) 1340616

alina@clearscale.net