SeniorAIdeveloper

Roles & Responsibilities :

• Coordinate and consult the design development and deployment of AI and machine learning models across varied problem statements.

• Own the end-to-end AI model lifecycle  data exploration feature engineering model selection training validation testing and deployment.

• Build and maintain robust AI pipelines for continuous integration retraining and scalability of models.

• Develop APIs microservices or frameworks for embedding AI models into production applications.

• Conduct model performance benchmarking and implement optimization techniques for accuracy latency and efficiency.

• Research and implement state-of-the-art AI algorithms and architectures to enhance solution performance and adaptability.

• Collaborate with data scientists and product teams to align models with real-world business use cases.

• Ensure traceability explainability and compliance in all AI models developed.

• Mentor junior AI developers review code and contribute to establishing AI development best practices.

• Stay current with emerging trends in AI MLOps and generative AI tools to guide continuous innovation.

Qualifications :

Required Skills & Qualifications

• Any Bachelors or Masters degree

• 36 years of hands-on experience in AI model development deployment and optimization.

• Strong command of Python and libraries

• Deep understanding of machine learning algorithms model training workflows and deep learning architectures (CNN RNN Transformers).

• Experience with data wrangling preprocessing and feature engineering for model readiness.

• Skilled in developing and integrating models via APIs (Flask FastAPI) and containerization using Docker.

• Proficiency in model evaluation metrics hyperparameter tuning and performance analysis.

• Experience with Git and collaborative code development workflows.

• Strong analytical mindset and ability to troubleshoot complex model behaviors.

   

   

Preferred Qualifications:

• Experience working with Large Language Models (LLMs) Generative AI or prompt engineering

• Familiarity with cloud AI platforms

• Knowledge of MLOps practices  CI/CD for ML model monitoring and retraining pipelines.

• Exposure to computer vision or NLP-based AI systems.

   

   

   

Remote Work :

No

Employment Type :

Full-time