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

Roles and Responsibilities:

- Develop and implement machine learning models and algorithms using Python and Tensorflow.
- Build production-grade ML pipelines and ensure their scalability and reliability.
- Utilize AWS and other cloud platforms for deployment and orchestration of ML solutions.
- Collaborate with cross-functional teams to integrate AI solutions into existing systems.
- Manage CI/CD pipelines and version control systems (e.g., Git) for effective development.
- Employ MLOps tools such as MLFlow, Kubeflow, and AWS Sagemaker for model management.
- Conduct statistical modeling, data mining, and analytics on unstructured data.
- Drive both low-level technical implementations and high-level architectural decisions.




- Stay updated with the latest advancements in AI/ML and contribute to continuous improvement initiatives.

Skills Required:

- Strong proficiency in Python and TensorFlow
- Solid understanding of AI/ML concepts
- Hands-on experience with Generative AI
- Experience deploying ML solutions on AWS
- Knowledge of FastAPI for model serving
- Familiarity with MLOps tools like MLFlow, Kubeflow, or SageMaker
- Good understanding of CI/CD and version control (Git)
- Strong analytical, problem-solving, and communication skills

Education: Bachelor's degree in Computer Science, Engineering, or related field

📌 AIML Specialist (Chennai)
🏢 Careernet
📍 Chennai