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 • Machine Learning • Data Visualization • Predictive Analytics • Data consulting
Software Engineer
December 12, 2024
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 • Machine Learning • Data Visualization • Predictive Analytics • Data consulting
📋 Description
• Strong Analytics, a OneSix Company, is seeking Machine Learning Engineers to help design and develop machine-learning based applications for clients ranging from startups to Fortune 500s. • As an ML Engineer, you will lead the development and integration of machine learning and AI based software solutions in collaboration with ML Scientists and our clients. • Engineers are core contributors at Strong, with responsibilities such as building and managing application pipelines, embedding statistical algorithms in robust software applications, and deploying ML applications to the cloud. • Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. • This role requires a deep expertise in applying data science and machine learning to real-world problems where data must be gathered, transformed, cleaned, and integrated into a larger architecture.
🎯 Requirements
• Minimum 2 years of industry experience writing and deploying Python-based Python • Very strong proficiency in Python. • Experience in packaging custom Python applications. • API Development • Proficient in developing RESTful and gRPC APIs. • Experience using FastAPI. • Big Data • Experience using PySpark. • DevOps Skills • Containerization • Proficiency in containerizing applications using Docker and deploying on Kubernetes or cloud-based container services platforms (e.g., ECS). • Infrastructure as Code • Experience defining and deploying infrastructure-as-code with Terraform. • Cloud Services • Hands-on experience with AWS services including EKS, ECS, EMR, Batch, Glue, Lambda, and SQS. • Data/ML • Strong knowledge of SQL. • Experience integrating with ML models (locally or externally hosted). • Experience with Nvidia Triton, Azure, and Snowflake is ideal but not required. • Demonstrated problem solving and quantitative skills, combined with excellent written and verbal communication skills are required • Ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.
🏖️ Benefits
• Competitive salary • 100%-covered Health insurance for employees, 75%-covered dependents • Four weeks PTO • 401(k) with employer contribution matching • Personalized monthly perks with matched charitable donations • A 100% remote work environment with highly protected work/life balance
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