Company:IT Services Organization

Key Skills: AWS, AI/ML, Fast Api, Generative AI, Python, Tensorflow, Agentic AI, Open AI

Roles and Responsibilities:

Develop and implement AI/ML models and algorithms.
Build and maintain production-grade ML pipelines.
Collaborate with cross-functional teams to integrate AI solutions.
Utilize cloud platforms (AWS, GCP, Azure) for deployment and orchestration.
Implement CI/CD pipelines and manage version control systems (e.g., Git).
Work with MLOps tools such as MLFlow, Kubeflow, and AWS Sagemaker.
Conduct statistical modeling, data mining, and analytics on unstructured data.
Ensure the productionization of ML models and manage the ML lifecycle.
Drive both low-level technical implementation and high-level architecture evolution.
Engage with multi-functional teams and stakeholders across various geographies.

Skills Required:

Strong expertise in AI/ML model development and production pipelines
Proficiency in Python, Tensorflow, Generative AI, and Fast API
Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLFlow, Kubeflow, SageMaker)
Knowledge of CI/CD, version control (Git), and ML lifecycle management
Ability to collaborate with cross-functional teams and manage high-level AI architecture
Familiarity with Open AI and Agentic AI is a plus

Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

AI/ML Developer_96820