Software Engineer

December 12, 2024

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Strong Analytics

Strong Analytics is a company specializing in building bespoke data science, machine learning, and artificial intelligence solutions. They work with companies to design and deploy custom end-to-end ML/AI products across various industries, including technology, pharmaceuticals, retail, energy, automotives, and gaming. Strong Analytics provides platforms that accelerate innovation in data science and is known for its technical expertise and collaborative approach. They have partnered with OneSix, a leader in data engineering, to deliver a comprehensive suite of data and AI solutions aimed at unlocking the transformative value of AI for enterprises. Their platforms include reinforcement learning, machine learning pipelines, and deep learning vision models, tailored to improve marketing strategies and optimize business operations across industries.

Data Science โ€ข Machine Learning โ€ข Data Visualization โ€ข Predictive Analytics โ€ข Data consulting

๐Ÿ“‹ Description

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

๐ŸŽฏ Requirements

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

๐Ÿ–๏ธ Benefits

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

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