Senior Machine Learning (ML) Engineer

Senior Machine Learning (ML) Engineer

This job is no longer open
  • JOB TYPE: Freelance, Contract Position (no agencies/C2C - see notes below)
  • LOCATION: Remote - United States only
  • HOURLY RANGE: Our client is looking to pay $80 – $100/hr 
  • ESTIMATED DURATION: 40h/week - Long term 
  • BRAINTRUST JOB ID: 8096

THE OPPORTUNITY

Requirements

The role is for a fully remote position, and the candidate will be responsible for playing a crucial part in building software used by millions, focusing on large-scale challenges, and being a central figure in major company initiatives.

KCL will currently consider applicants who reside in the following states: Arkansas, California, Colorado, Connecticut, Florida, Georgia, Idaho, Illinois, Iowa, Minnesota, Ohio, Pennsylvania,  South Dakota, Texas, Utah, Virginia, Washington, or Wisconsin.

Role: Senior Software Engineer at Krazy Coupon Lady (KCL) 

About the Role:

  • - Focus on large-scale technical challenges in personalization, AI/ML space.
  • - Key contributions include new feature development, performance improvement, guidance on architectural decisions, building/supporting machine learning pipelines that scale.
  • - Opportunity to tackle significant engineering challenges like system optimization and new component architecture.
  • - Act as a bridge between non-technical and Engineering teams, understanding business challenges, scoping projects, and executing solutions.
  • - Working closely with various stakeholders, delivering high-quality results, and being a leader and valuable contributor.

 

Responsibilities Include:

  • - Develop deep user journey understanding; study information and business needs.
  • - Create infrastructure for large-scale data ingest and cloud-based machine learning.
  • - Enhance or improve business processes through integration, or minimize its impact.
  • - Document solutions for knowledge sharing.
  • - Mentor early-career engineers, provide support to Lead Engineers.
  • - Show urgency in completing work and perseverance in solving problems.
  • - Work both autonomously and collaboratively.
  • - Collaborate with Product Operations for project alignment and fulfill end-user requirements.
  • - Identify and resolve system issues, exercise creative problem-solving.

 

What you’ll be working on

About you: 

  • You are known for raising the bar in backend development with a passion for unifying data and building systems that scale from both an operational and an organizational perspective
  • You have a deep understanding of design, data structures, and algorithms
  • Your opinions on SOA concepts, principles, and patterns come from lessons learned, and mistakes made
  • You think like a product owner and are, at heart, very relationship-driven and customer-focused
  • You’re a critical thinker who is equal parts transparent and kind, who also seeks out feedback on your own work for collaborative improvements
  • At the end of the day, you want the really hard stuff; the impossible-to-figure-out problems, because you know there’s a solution 
  • Your approach of looking for what’s possible is infectious, and you genuinely enjoy bringing that energy to the room with your teammates 
  • You’re agile in temperament and discipline and also flexible and can switch tasks as priorities change.
  • You can intelligently speak to recent advancements in machine learning, AI,  and shifts in the development landscape because you are a lifelong learner

 

Requirements:

  • Top-notch communicator with experience on highly collaborative, agile teams within a Product-oriented organization
  • Heavy focus on ML and AI aspects of engineering with specific experience in building, productizing, and monitoring pipelines for AI and ML
  • Experience with AWS platform architecture 
  • Experience with containers/orchestration (Docker and Kubernetes preferred)
  • Extensive knowledge of YAML, Swagger, OpenAPI, and completely integrate API Pre and Post Flow using JavaScript
  • Experience with both traditional SQL relational databases, and document databases such as MongoDB
  • Certification in Cloud Development from AWS, AZURE or GOOGLE a plus
  • Experience in re-architecting monolithic systems into microservices, utilizing cloud vendor agnostic frameworks
  • 5+ years experience with microservices software architecture
  • 5+ years leading the end-to-end design and development of scalable services to be consumed by the enterprise, including monitoring and production support

Apply Now!

 

This job is no longer open
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