Responsibilities
Responsibilities:
Assist in the development and implementation of AI models and algorithms.
Collaborate with senior AI specialists and data scientists on various projects.
Collect, preprocess, and analyze large datasets.
Train and evaluate machine learning models.
Contribute to research and development efforts in AI technologies.
Stay up-to-date with the latest advancements in AI and machine learning.
Participate in code reviews and provide constructive feedback.
Document AI models, algorithms, and processes.
Assist in the deployment and maintenance of AI solutions.
Troubleshoot and resolve issues related to AI models and applications.
Work with cross-functional teams to integrate AI solutions into existing systems.
Develop and maintain AI-related documentation and reports.
Participate in team meetings and contribute to project planning.
Assist in the development of AI-related training materials and resources.
Support the continuous improvement of AI processes and methodologies.
Required Skills and Experience:
Bachelor's degree in Computer Science, Mathematics, Statistics, or a related field.
Strong foundation in programming languages such as Python, R, or Java.
Basic understanding of machine learning algorithms and techniques.
Familiarity with data preprocessing and analysis techniques.
Knowledge of AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Ability to work independently and as part of a team.
Eagerness to learn and stay updated with the latest AI advancements.
Attention to detail and strong organizational skills.
Experience with version control systems such as Git is a plus.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure is a plus.
Basic understanding of software development lifecycle and methodologies.
Ability to manage multiple tasks and prioritize effectively.
Strong mathematical and statistical skills.
Additional Responsibilities:
Educational Qualifications:
B.Tech / M. Tech / B. Sc / M. S in Computer Science, Machine Learning or MCA, B Stat (Hons.), B Math (Hons.), M Stat, M Math, MS (QE), MS (QMS).PG Diplomas or Research Fellows in Business Analytics or Operational Research are also welcome.
Preferred Skills:
Technical- AI
