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Software Engineer

SA

Location
CA and US
Strong Analytics

Job 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.

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.

Responsibilities

  • Work with machine learning scientists and other engineers to develop custom ML solutions for a variety of industries and use cases

  • Build machine learning pipelines from ideation up through prototyping, development, and deployment

  • Build data pipelines which can ingest, transform, and export data

  • Embed statistical algorithms and machine learning models in cloud-based applications

  • Help identify areas of opportunity and improvement within projects

  • Collaborate 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 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

Requirements

Applicants must reside in either the US or Canada. 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
  • 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 Experience
      • 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

Applicants should have the ability to travel infrequently (<5% of your time) for team meetings, conferences, and occasional client site visits.

Advice from our career coach

As a Machine Learning Engineer at Strong Analytics, a OneSix Company, it is essential to bring a deep expertise in applying data science and machine learning to real-world problems. Here are some key insights to help you stand out as an applicant:

  • Experience with Python: Showcase your proficiency in Python, including writing and deploying Python-based applications.
  • API Development: Highlight your experience in developing RESTful and gRPC APIs, with a focus on using FastAPI.
  • Big Data Skills: Emphasize your experience using PySpark for handling big data.
  • DevOps Expertise: Demonstrate your knowledge in containerization with Docker and orchestration with Kubernetes or cloud-based container services.
  • Cloud Services: Show your hands-on experience with AWS services like EKS, ECS, EMR, Glue, and Lambda, among others.
  • Data/ML Experience: Highlight your strong knowledge of SQL and experience integrating with ML models, emphasizing any experience with Nvidia Triton, Azure, and Snowflake.
  • Problem-Solving Skills: Showcase your ability to solve complex problems and communicate effectively both in writing and verbally.
  • Work Environment: Mention your comfort working in a remote, Agile-like environment using tools like Slack and Git, and your dedication to uninterrupted development time.

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About the job

Nov 10, 2024

Full-time

  1. CA Canada
  2. US United States
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