- Design and develop cutting-edge AI and ML solutions that address business challenges.
- Lead end-to-end AI development lifecycle, from problem definition, and 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.
- 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 of EC2 ASG, S3 RDS.
- Excellent problem-solving skills and the ability to work in a dynamic, fast-paced environment.
- Strong communication and collaboration skills.
- Programming Languages: Python, Java, or similar.
- Machine Learning Frameworks: TensorFlow, PyTorch, sci-kit-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)
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
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Description
Responsibilities :