Software Engineer

5 days ago

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Strong Analytics

Data Science β€’ Machine Learning β€’ Data Visualization β€’ Predictive Analytics β€’ Data consulting

Description

β€’ Design and develop machine-learning based applications for clients β€’ Lead the development and integration of machine learning and AI based software solutions β€’ Build and manage application pipelines β€’ Embed statistical algorithms in robust software applications β€’ Deploy ML applications to the cloud β€’ Work with machine learning scientists and other engineers to develop custom ML solutions β€’ Build machine learning pipelines from ideation, prototyping, development, to deployment β€’ Build data pipelines which can ingest, transform, and export data β€’ Identify areas of opportunity and improvement within projects β€’ Collaborate in a fully remote, Agile-like environment using tools like Slack and Git

Requirements

β€’ Minimum 2 years of industry experience writing and deploying Python-based applications β€’ Very strong proficiency in Python β€’ Experience in packaging custom Python applications β€’ Proficient in developing RESTful and gRPC APIs β€’ Experience using FastAPI β€’ Experience using PySpark β€’ Proficiency in containerizing applications using Docker and deploying on Kubernetes or cloud-based container services β€’ Experience defining and deploying infrastructure-as-code with Terraform β€’ Hands-on experience with AWS services including EKS, ECS, EMR, Batch, Glue, Lambda, and SQS β€’ Strong knowledge of SQL β€’ Experience integrating with ML models β€’ Experience with Nvidia Triton, Azure, and Snowflake is ideal but not required β€’ Demonstrated problem solving and quantitative skills β€’ Excellent written and verbal communication skills β€’ Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits

Benefits

β€’ Competitive salary β€’ 100%-covered Health insurance for employees, 75%-covered dependents β€’ Four weeks PTO β€’ 401(k) with employer contribution matching β€’ Personalized monthly perks with matched charitable donations β€’ A 100% remote work environment with highly protected work/life balance

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