Enterprise AI Solutions Deployment Strategist

1 month ago

Chennai, Tamil Nadu, India Centific Global Technologies Full time

Company Overview
Centific Global Technologies is a pioneering tech company based in Seattle, revolutionizing the future of artificial intelligence.


Job Summary
We are seeking an experienced Enterprise AI Solutions Deployment Strategist to lead the design and implementation of highly secure AI solutions deployment at enterprise scale with 100s of concurrent users and high performance with quick turnaround, aligning with business objectives. The ideal candidate will have expertise in designing and planning AI workflows and pipelines, software engineering, DevOps principles, advanced analytics tools, machine learning frameworks, and technical proficiency in programming languages such as Python, R, and Java.

Responsibilities

  • Design and implement highly secure AI solutions deployment from design to execution at enterprise scale with 100s of concurrent users and high performance with quick turnaround, that align with business objectives.
  • Work closely with stakeholders, including data scientists, engineers, and business leaders, to understand requirements and translate them into AI solutions.
  • Stay updated with the latest AI trends and technologies to continuously improve and innovate AI strategies.
  • Lead AI projects deployment ensuring timely delivery and adherence to quality standards.
  • Optimize AI models for performance and scalability, addressing any issues related to data quality, model accuracy, and system integration.

Requirements

  • 8+ years of experience in designing and deploying AI models at enterprise scale with fully automated MLOps in a highly secure environment supporting large number of concurrent users.
  • Very strong Graduate level degree in Computer Science/or other engineering discipline from top tier schools.
  • Expertise in designing and planning AI workflows and pipelines, with a deep understanding of the components and architectural trade-offs involved in data management, governance, model building, deployment, and production workflows.
  • Strong knowledge of software engineering and DevOps principles, including experience with DevOps workflows and tools such as Git, containers, Kubernetes, and CI/CD (Continuous Integration/Continuous Deployment).
  • Proficiency in advanced analytics tools (e.g., SAS, R, Python) and machine learning frameworks (e.g., TensorFlow), along with knowledge of machine learning techniques (e.g., random forests, neural networks).
  • Technical Proficiency: Proficient in programming languages such as Python, R, and Java.
  • Analytical Thinking: Excellent problem-solving skills with the ability to analyze large datasets and extract meaningful insights.
  • Project Management: Proven experience in managing complex AI projects, including planning, execution, and monitoring.
  • Communication: Strong ability to communicate technical concepts to non-technical stakeholders effectively.
  • Adaptability: Ability to quickly adapt to new challenges and technologies in a fast-paced environment.

Tools & Technologies

  • Machine Learning Frameworks: TensorFlow, PyTorch, Keras.
  • Programming Languages: Python, R, Java, C++.
  • Data Management: Experience with SQL and NoSQL databases, and data preprocessing tools.
  • Cloud Platforms: Strong Proficiency in AWS, Google Cloud, and Azure.
  • Development Tools: Expertise with Jupyter Notebooks, Git, Docker, and Kubernetes.

Compensation
$150,000 - $200,000 per year.

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