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A) AI Solution Development and Automation
Drive the organization's AI initiatives through the design and implementation of intelligent systems and automation solutions.
Identify opportunities where AI can add business value and optimize existing processes
B) Data Management and Preparation
Oversee the entire data pipeline, from data collection and cleaning to preprocessing and storage.
Ensure data integrity, consistency, and accessibility for machine learning and AI applications.
Collaborate with data engineers and analysts to create scalable and efficient data architectures.
C) Model Training, Evaluation, and Deployment
Train, validate, and fine-tune machine learning models for optimal performance.
Evaluate models using appropriate metrics and perform error analysis to improve accuracy.
Deploy AI models into production environments and integrate them with existing applications or business systems.
D) Integration and Maintenance
Work with software development teams to integrate AI solutions into broader IT systems and enterprise platforms.
Continuously monitor AI systems in production, ensuring performance stability, fairness, and reliability.
Troubleshoot issues and retrain models as new data becomes available.
E) Cross-Functional Collaboration
Collaborate with business stakeholders, project managers, and engineers to define AI strategies that align with organizational objectives.
Translate business challenges into technical solutions and communicate results effectively to non-technical audiences.
H) Technical Leadership and Mentorship
f) Provide technical guidance to team members in AI, data science, and automation projects.
Conduct knowledge-sharing sessions and code reviews to promote best practices.
Job Requirements
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field
Strong proficiency in Python, R, or Java
Analytical and problem-solving mindset. Excellent communication and collaboration abilities. Ability to manage multiple projects and meet deadlines. Passion for innovation and continuous learning
Job ID: 140444527
Skills:
Pytorch, Docker, automation, Python, Machine Learning Algorithm, DeepSpeed, inference workloads, cloud platforms, bare-metal GPU Kubernetes K8s clusters, Monitoring, vLLM, Megatron, distributed and large-scale AI workloads, AI model training, AI computing resource management, Kubernetes K8s, AWS cloud environments, CI CD pipelines, Scheduling, Linux systems, GPU-based AI infrastructure, end-to-end ML workflows, AI ML frameworks
Skills:
Pattern Recognition, Tensorflow, Image Processing, Pytorch, Gcp, Natural Language Processing, Neural Networks, Azure, Python, AWS, AI-driven solutions