Senior Developer - Artificial Intelligence (4-15 yrs)

Position : AI Senior Developer

Work Location : Bengaluru

Work Type : Hybrid

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.