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Senior Machine Learning Architect
2 months ago
About the Role:
We are seeking a highly skilled and experienced Senior Machine Learning Architect to join our team at Reliant AI, Inc. as a Lead Software Engineer. This is a unique opportunity to work on the next generation of machine learning software and be part of a team that is shaping the future of AI.
Key Responsibilities:
- Design and architect end-to-end machine learning infrastructure, including data ingestion, preprocessing, model development, deployment, and monitoring.
- Evaluate and select appropriate ML frameworks, libraries, and tools based on project requirements, scalability, and performance.
- Design highly scalable, distributed, and fault-tolerant model training and deployment infrastructure to handle large volumes of data and real-time inference.
- Continuously surface opportunities to optimize the performance of machine learning models, data pipelines, and infrastructure to achieve maximum efficiency and scalability.
- Act as a mentor to the engineering team, provide guidance, and promote a culture of knowledge sharing and continuous learning within the team.
- Collaborate with cross-functional teams and provide technical leadership.
- Ensure data quality and governance by establishing processes and guidelines for data quality, validation, and governance.
- Implement robust security and privacy measures to protect sensitive data and ensure compliance with relevant regulations.
Requirements:
- Bachelor's or master's degree in computer science, engineering, or a related field. D. in a relevant field is preferred.
- Extensive architectural experience in machine learning, data engineering, or related roles, with a focus on architecting and delivering machine learning solutions at scale.
- Strong architectural skills with experience in designing and implementing scalable, distributed, and fault-tolerant systems.
- Expertise in programming languages like Python, Java, or Scala, and knowledge of ML frameworks and libraries.
- Strong understanding of data engineering principles, data preprocessing techniques, data governance, and data integration.
- Excellent communication skills with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
- Proven leadership abilities with experience in guiding and mentoring engineering teams.
- Strong analytical thinking, problem-solving, and troubleshooting skills to address complex architectural challenges.
- Familiarity with software engineering best practices, version control systems, and agile development methodologies.
What We Offer:
- A dynamic and collaborative work environment.
- Opportunities for professional growth and development.
- A competitive salary and benefits package.
