Roles & Responsibilities:

 Design and develop cutting-edge AI and ML solutions that address business challenges.

 Lead end-to-end AI development lifecycle, from problem definition, data collection to model

deployment and maintenance.

 Collaborate with cross-functional teams to understand and analyze business requirements and

translate them into AI solutions.

 Research and stay up to date with the latest AI and ML technologies and best practices.

 Mentor and provide guidance to junior AI developers on the team.

 Conduct code reviews and ensure code quality, scalability, and performance of AI applications.

 Collaborate with data scientists and engineers to preprocess and prepare data for AI models.

 Evaluate and select appropriate AI and ML algorithms for specific tasks.

 Develop and deploy AI models in a production environment and monitor their performance.

 Ensure data privacy and security measures are implemented in AI solutions.

Preferable Qualifications:

 Proven exp in developing and deploying AI/ ML solutions, with a strong portfolio of projects.

 Strong pgm skills in languages like Python, TensorFlow, PyTorch, or other AI/ML frameworks.

 Knowledge of natural language processing (NLP), computer vision, and deep learning.

 Proficiency in data preprocessing, feature engineering, and data visualization.

 Experience with cloud platforms and tools such as AWS, Azure, or Google Cloud for AI

development with specific knowledge on EC2, ASG, S3, RDS.

 Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.

 Strong communication and collaboration skills.

Skill Set:

 Programming Languages: Python, Java, or similar.

 Machine Learning Frameworks: TensorFlow, PyTorch, scikit-learn.

 Data Manipulation: Pandas, NumPy.

 Data Visualization: Matplotlib, Seaborn.

 Cloud Platforms: AWS, Azure, Google Cloud.

 Version Control: Git.

 Database Systems: SQL, NoSQL.

 Development Tools: Jupyter Notebook, IDEs.

 Software Development: Knowledge of software engineering principles like Agile SDLC

methodologies and frameworks (Scrum, Kanban)

Education Qualification:

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

AI Senior Developer