Senior Machine Learning (ML) Engineer - Freelance [Remote]

Key Skills

Aartificial intelligence, Common data structures, Database, Docker, Effective communication skills, Freelancer, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques, MongoDB, Planning and organization, SQL

Job Description

The hiring process for this role involves completing your Braintrust profile, applying directly to the role on Braintrust, and undergoing a one-time screening to ensure you meet our vetted talent specifications. After this, the hiring team will contact you directly if they believe you are a suitable match.

Our process isn't for everyone, that's intentional. If you believe that you are a top candidate for this job, please join our network to give yourself the opportunity to work with top companies.

• 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!

Notes:

Our employers all have varying legal and geographic requirements for their roles, they trust Braintrust to find them the talent that meet their unique specifications. For that reason, this role is not available to C2C candidates working with an agency. If you are a professional contractor who has created an LLC/corp around their consulting practice, this is well aligned with Braintrust and we’d welcome your application.