AI/ML Architect with GCP Experience

Title: AI/ML Architect with GCP Experience

Location: Remote

Duration: 24 Months

Key Responsibilities:

• Design end-to-end AI/ML systems, including data ingestion, model training, deployment, and monitoring.
• Develop scalable machine learning pipelines and infrastructure using cloud platforms (AWS, Azure, GCP) and on-premises systems.
• Ensure seamless integration of AI/ML solutions with existing enterprise architectures and workflows.
• Provide technical leadership in selecting AI/ML frameworks, tools, and libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Evaluate emerging AI/ML technologies and recommend their adoption where applicable.
• Establish best practices for model development, training, deployment, and monitoring.
• Collaborate with stakeholders to define AI/ML strategies that align with organizational goals.
• Identify and prioritize use cases for AI/ML applications to maximize business impact.
• Oversee the implementation of AI-driven solutions to address business challenges and opportunities.
• Work closely with data scientists, engineers, and business analysts to ensure successful delivery of AI/MLprojects.
• Mentor team members on AI/ML best practices, tools, and technologies.
• Act as a bridge between business and technical teams to translate business requirements into AI/MLsolutions.
• Define AI/ML governance frameworks, ensuring compliance with data privacy and security regulations.
• Establish protocols for model interpretability, fairness, and ethical AI practices.
• Ensure robust data validation and quality control processes.
• Monitor and optimize the performance of deployed AI/ML models and pipelines.
• Implement feedback loops for continuous model improvement and retraining.
• Address scalability challenges in real-time AI/ML systems.

Experience:

• 10 years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
• Proven experience in deploying AI/ML solutions at scale in production environments.

Technical Skills:

• Expertise in AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn).
• Strong programming skills in Python, R, or Java, and experience with distributed computing (e.g., Spark, Hadoop).
• Proficiency in cloud platforms (AWS, Azure, GCP) for AI/ML workloads.
• Experience with MLOps practices and tools (e.g., MLflow, Kubeflow, SageMaker).
• Familiarity with NLP, computer vision, and other advanced AI techniques.
• Excellent problem-solving and analytical abilities.
• Strong communication skills to convey complex AI/ML concepts to diverse audiences.
• Leadership capabilities to manage cross-functional teams and projects.

Qualifications and Requirements:

• Education:
• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or related field. A Ph.D. is a plus.