AI/ML Architect
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Senior AI/ML Architect
Remote
Contract
Skills
Python / Sci-kit Learn / TensorFlow / AWS Sagemaker / AWS Ecosystem
Job Description
We are looking for a talented and experienced Senior AIML Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and deploying machine learning models and algorithms, with a particular focus on recommendation systems. You will work closely with data scientists and engineers to ensure seamless integration of models into production and optimize performance and scalability.
Responsibilities
- Machine Learning Model Development: Design, develop, and deploy advanced machine learning models and algorithms, with a particular focus on creating and enhancing recommendation systems.
- Data Pipeline Implementation: Implement and maintain efficient data pipelines and workflows, ensuring seamless data ingestion, processing, and transformation to support machine learning initiatives.
- Cross-functional Collaboration: Collaborate closely with data scientists, engineers, and other stakeholders to integrate machine learning models into production environments, ensuring alignment with project goals and business objectives.
- Performance Optimization: Continuously optimize model performance and scalability, leveraging best practices in machine learning, data engineering, and software development to achieve high efficiency and robustness.
- Model Validation and Testing: Develop and execute comprehensive validation and testing strategies to ensure the accuracy, reliability, and robustness of machine learning models, identifying and mitigating potential issues.
- Scalable Infrastructure: Design and implement scalable infrastructure solutions to support the deployment and maintenance of machine learning models, utilizing cloud services and other relevant technologies.
- Research and Innovation: Stay abreast of the latest advancements in machine learning, recommendation systems, and related fields, driving innovation and incorporating cutting-edge techniques into projects.
- Technical Leadership: Provide technical leadership and mentorship to junior engineers and team members, fostering a collaborative and growth-oriented work environment.
- Documentation and Reporting: Create and maintain detailed technical documentation, including model specifications, data pipelines, and deployment procedures, ensuring clarity and accessibility for all stakeholders.
- Continuous Improvement: Advocate for and implement continuous improvement practices, regularly reviewing and refining processes, tools, and methodologies to enhance efficiency and effectiveness.
Qualifications
- Proficiency in Python, Sci-kit learn, TensorFlow, AWS Sagemaker
- Experience with AWS Sagemaker and the AWS ecosystem.
- Strong understanding of recommendation systems and their implementation.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
Skills Required
The Senior AIML Engineer should have proficiency in Python, Sci-kit Learn, and TensorFlow. Expertise in AWS Sagemaker and the AWS ecosystem is essential to excel in this role