Job Summary
Design, develop, and deploy machine learning models using GCP services such as AI Platform, BigQuery ML, Vertex AI, TensorFlow, and AutoML.
Build and optimize scalable pipelines for data collection, preprocessing, and feature engineering. Collaborate with data engineers to design ETL pipelines and manage large datasets on GCP. Develop custom machine learning models tailored to business needs, including supervised, unsupervised, and reinforcement learning algorithms. Integrate AI/ML models into cloud applications and ensure seamless operation in production environments. Work closely with software engineers to embed AI/ML models into applications and products, ensuring best practices for CI/CD in ML. Conduct research to stay up-to-date with the latest AI/ML techniques and apply them to business use cases.
Job Description
Essential Responsibilities
- Lead the configuration, maintenance, and optimization of the organizations network and security infrastructure to ensure high performance and reliability.
- Architect and integrate networks across multiple business units and diverse cloud environments, ensuring seamless connectivity and scalability.
- Champion the use of Infrastructure as Code processes to automate and maintain infrastructure consistency, scalability, and up-to-date configurations.
- Oversee the configuration, deployment, and management of F5 Local Traffic Managers (LTMs) and Advanced Security Modules (ASMs) to ensure seamless application delivery and security.
- Create and implement strategies for integrating cloud Virtual Private Clouds (VPCs), interconnects, and direct connects, ensuring efficient and secure data flow between on-premises and cloud environments.
- Proactively identify opportunities to enhance the network s scalability and resilience, ensuring it can handle growing business demands and traffic loads.
- Work closely with infrastructure, application, and security teams to ensure network designs meet cross-functional requirements and adhere to best practices.
Minimum Qualifications
- Minimum of 8 years of relevant work experience and a Bachelors degree or equivalent experience.
Preferred Qualification
- Masters degree or higher in Computer Science, Mathematics, or related field with keen interest in Machine Learning and AI
- Proven experience in developing and implementing solutions in machine learning and AI-related spaces
- Strong programming skills in languages such as Python, Java, or C++
- In-depth knowledge of machine learning frameworks and libraries for analytics and text processing (e.g., TensorFlow, PyTorch)
- Experience with cloud services related to machine learning (Vertex AI, etc.)
- Excellent problem-solving skills and the ability to work in a fast-paced environment
- Strong communication skills to effectively collaborate with team members and stakeholders
- Strong knowledge of algorithms, statistics, data structures, distributed systems, and software engineering best practices
- Proven experience leading and delivering complex ML projects at production scale
- Experience integrating ML solutions into cloud environments (e.g., AWS, Azure, GCP) is highly desirable
- Perform model tuning, evaluation, and monitoring for performance and accuracy improvements.
Provide mentorship and guidance to junior developers and contribute to code reviews, technical design sessions, and project planning. Ensure security, scalability, and performance of ML models deployed in production.
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