Machine Learning Operations Architect

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JOB TYPE: Freelance, Contract Position – No agencies (See notes below)

LOCATION:  US Only (TimeZone: PST/CSIT )

HOURLY RANGE: Our client is looking to pay $95  – $105 USD / HR

ESTIMATED DURATION: 40Hrs/Week – Long Term


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We’ve onboarded some of the world’s most reputable brands and now we need a Senior ……… for one of our clients


Experian Consumer Services (ECS) is launching a new Data Center of Excellence (CoE) that is re-imagining the way artificial intelligence (AI) and machine learning (ML) applications can best benefit our consumers
One of the pillars of the Data CoE team is “platform as a product” meaning our architects are creating the next generation platforms to facilitate ML use cases across the organization


We are looking for a highly motivated and experienced Machine Learning Operations Architect to assist with developing these next-generation AI/ML operational platforms
The role will require hands on experience with infrastructure automation, CI/CD pipelines, feature extraction/feature definition, data validation, model monitoring, and model lifecycle management


  • • Creating a platform to automate every step of the ML Process from Data Prep, Model Building, Deployment, and Operations• Extracting data from a data store, cleaning the data, and preparing it for consumption• Constructing data pipelines to maintain the model• Monitor the model for performance and drift• Coding everything required to orchestrate multiple models together• Automating deployment through CI/CD environments• Creating and automating model workflows• Authoring dashboards to manage and monitor the end-to-end model lifecycle


  •  BS or MS (preferred) in Computer Science or a related field• 5+ years current practical experience developing production-quality applications in Python
    • Strong software design and enterprise architecture skills, particularly with AWS services
    • 3-5 years of experience with enterprise grade CI/CD pipeline deployment• 2-3 years of experience with large-scale production machine learning orchestration between multiple accounts
    • Demonstrated Knowledge of Data ETL (Spark preferred – streaming and structured streaming), Analytics, ML Libraries (scikit-learn, XGBoost, MXNet, Tensorflow, R), ML Frameworks (Airflow, MLFlow, Kubeflow)• Solid grounding in statistics, probability theory, data modeling, machine learning algorithms and software development techniques and languages used to implement analytics solutions
    • Proven capability of working with both technical and business stakeholders• Excellent written, oral communication, and analytical skills• Experience in neural networks/deep-learning techniques• Experience with modern software development practices and tools• Polyglot: can program effectively in a wide range of programming languages and frameworks• Ability to work in a fast paced environment and to be an outstanding team player• Ability to learn new frameworks and environments• Adept at asking for help when needed


Qualified candidates will be invited to do a screening interview with the Braintrust staff
We will answer your questions about the project, and our platform
 If we determine it is the right fit for both parties, we’ll invite you to join the platform and create a profile to apply directly for this project

C2C Candidates: This role is not available to C2C candidates working with an agency
But if you are a professional contractor who has created an LLC/corp around your consulting practice, this is well aligned with Braintrust and we’d welcome your application

Braintrust values the multitude of talents and perspectives that a diverse workforce brings
All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status