Machine Learning Architect - Contract to Hire
Machine Learning Architect - Contract to Hire
Posted on :
23-09-2024
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Job Description
Job Title: ML Architect Contractor
Location: Remote (United States)
Duration: 4 Months (Contract to Hire)
Start Date: Immediate
Key Responsibilities:
- Architect and design a scalable AI/automation solution to streamline manual processes within the companys internal operations.
- Lead the endtoend solution design including data pipelines model lifecycle management and system integration ensuring the architecture is optimized for performance scalability and maintainability.
- Leverage advanced techniques such as constrained optimization to improve resource allocation and replace manual processes with an intelligent automation system.
- Collaborate closely with SMEs and business stakeholders to understand operational requirements and design an AI/ML system that reflects their expertise while ensuring it integrates seamlessly into broader enterprise systems.
- Define the architectural standards and best practices for the deployment of machine learning models working closely with ML Engineers and Data Engineers to ensure alignment with business and technical objectives.
- Establish frameworks for automated resource allocation data processing and model orchestration optimizing operational efficiency and service quality.
Required Qualifications:
- Proven experience as an ML Architect with a track record of designing and implementing largescale machine learning and AI systems in production environments.
- Deep expertise in machine learning algorithms AI models and frameworks (e.g. TensorFlow PyTorch) with an ability to guide the design and implementation of complex systems.
- Extensive experience in architecting data pipelines and working with large datasets with strong proficiency in SQL and cloudbased data warehouse solutions (e.g. Azure preferred).
- Expertise in architecting AIdriven automation solutions with a focus on resource allocation scheduling optimization and efficient system orchestration.
- Handson experience with cloud platforms (preferably Azure) for deploying machine learning models managing data storage and building data infrastructures.
- Strong programming skills in Python with additional expertise in languages like Java Scala or C for designing productionlevel architectures.
- Experience in architecting RESTful APIs and microservices for integrating machine learning models into enterprise systems.
- Advanced knowledge of algorithms data structures and distributed systems for building highly efficient and scalable ML solutions.
- Experience with DevOps practices including Git CI/CD pipelines containerization (Docker Kubernetes) and model lifecycle management.
- Excellent communication and leadership skills with the ability to work crossfunctionally with SMEs data engineers ML engineers and other stakeholders.
Employment Type
Full Time
Key Skills
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