AI/ML Architect - India - InOrg Global

InOrg Global India

3 weeks ago

Upper Management / Consulting

Description

We are looking for a skilled AI/ML Architect with strong experience in cloud technologies to lead the creation of advanced artificial intelligence and machine learning solutions. The perfect candidate will have a deep knowledge of AI/ML algorithms, frameworks, and tools, as well as a solid background in building scalable systems on cloud platforms. As an AI/ML Architect, you will have a key role in promoting innovation, utilizing cloud services to design and implement AI/ML models that tackle intricate business problems.

Responsibilities:

Architecture and Design: Develop end-to-end AI/ML solutions covering data processing, model training, deployment, and monitoring utilizing cloud infrastructure.
Algorithm Selection and Development: Choose suitable AI/ML algorithms and techniques to solve specific issues effectively.
Model Training and Optimization: Lead the creation and training of machine learning models with large datasets.
Cloud Integration: Integrate AI/ML solutions with cloud platforms like AWS, Azure, or Google Cloud Platform.
Scalability and Performance: Architect high-performance AI/ML systems capable of handling extensive data efficiently.
Deployment and Automation: Implement automated pipelines for model deployment using best practices.
Monitoring and Optimization: Set up monitoring solutions to track model performance and optimize resource usage.
Security and Compliance: Ensure AI/ML solutions comply with data privacy and security regulations.
Collaboration and Communication: Work closely with cross-functional teams to define solution architectures effectively.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field.
12+ years of experience in software development, data engineering, or AI/ML engineering.
Strong proficiency in AI/ML algorithms and frameworks such as TensorFlow and PyTorch.
Extensive experience with cloud platforms like AWS, Azure, or Google Cloud Platform.
Proficiency in programming languages like Python, Java, or Scala.
Understanding of distributed computing principles and big data technologies.
Experience with containerization and orchestration technologies like Docker and Kubernetes.
Excellent problem-solving skills and strong communication abilities.
Experience with Agile software development methodologies.
Willingness to work in a fast-paced environment.

Preferred Qualifications:

Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.
Certifications in AI/ML and cloud platforms.
Experience with deep learning techniques and neural network architectures.
Knowledge of data engineering principles and practices.
Experience with MLOps practices and tools.
Experience with streaming data processing technologies.
Understanding of data privacy regulations.
Contributions to open-source AI/ML projects or publications.

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