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.
At Strong, a OneSix Company, your work will have an immediate impact on clients addressing real-world challenges. Our work spans industries such as manufacturing, gaming, agriculture, automotive, and healthcare, among others. We pride ourselves not only in building the right solutions for our clients through research and development, but in implementing and scaling up those solutions through strong engineering. This role thus 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.
ResponsibilitiesWork with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use casesBuild machine learning pipelines from ideation up through prototyping, development, and deploymentBuild data pipelines which can ingest, transform, and export dataEmbed statistical algorithms and machine learning models in cloud-based applicationsHelp identify areas of opportunity and improvement within projectsCollaborate in a fully remote, Agile-like environment using tools like Slack and Git (with a lot of uninterrupted development time)We offer a comprehensive compensation package, including: Competitive salary100%-covered Health insurance for employees, 75%-covered dependentsFour weeks PTO401(k) with employer contribution matchingPersonalized monthly perks with matched charitable donationsA 100% remote work environment with highly protected work/life balance All applicants will be considered based on their experience and demonstrated skill/aptitude, not formal education. Candidates will be evaluated based on their experience in the following areas:
Minimum 2 years of industry experience writing and deploying Python-based applicationsVery strong proficiency in PythonExperience in packaging custom Python applicationsAPI DevelopmentProficient in developing RESTful and gRPC APIsExperience using FastAPIBig DataExperience using PySparkDevOps SkillsContainerizationProficiency in containerizing applications using Docker and deploying on Kubernetes or cloud-based container services platforms (e.g., ECS)Infrastructure as CodeExperience defining and deploying infrastructure-as-code with TerraformHands-on experience with AWS services including EKS, ECS, EMR, Batch, Glue, Lambda, and SQSData/ML ExperienceStrong knowledge of SQLExperience integrating with ML models (locally or externally hosted)Experience with Nvidia Triton, Azure, and Snowflake is ideal but not requiredDemonstrated problem solving and quantitative skills, combined with excellent written and verbal communication skills are requiredApplicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.
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