Gen AI Architect
About Company
Cogwise, acutting-edge AI-LLM based applications company, is seeking a talented andexperienced Multi-Cloud Software Engineer to create compelling use cases anddemos for our platform. In this role, you will be responsible for designing,building, and deploying scalable and efficient solutions across multiple cloudplatforms, ensuring seamless integration and high performance for our users.
Job Role:Gen AI Architect
Experience:Fresher
We are looking for apassionate and talented ZEN AI Architect to join our team. This entry-levelposition is ideal for recent graduates or individuals with some internshipexperience who are eager to start their careers in AI and machine learning. Thesuccessful candidate will work under the guidance of senior AI architects andcontribute to the design, development, and implementation of AI solutions usingthe ZEN AI framework.
Responsibilities:
· Assist in designing and developing AImodels and solutions using the ZEN AI framework.
· Support the implementation and integrationof AI solutions into existing systems.
· Assist in data preprocessing, featureengineering, and model evaluation.
· Stay updated with the latest advancementsin AI and machine learning technologies and apply new knowledge to projects.
· Help maintain comprehensive documentationfor AI models, architecture designs, and implementation processes.
· Work collaboratively with cross-functionalteams, including data scientists, engineers, and business stakeholders.
Qualifications:
· Bachelor’s degree in Computer Science,Artificial Intelligence, Data Science, or a related field.
· Basic understanding of the ZEN AIframework.
· Proficiency in programming languages suchas Python, Java, or similar.
· Familiarity with AI/ML libraries andframeworks such as TensorFlow, PyTorch, scikit-learn, etc.
· Understanding of cloud platforms like AWS,Azure, or Google Cloud is a plus.
· Knowledge of data preprocessing, featureengineering, and model evaluation techniques.
· Problem-Solving: Strong analytical andproblem-solving skills.
· Good verbal and written communicationskills, with the ability to work effectively in a team environment.
· A keen interest in AI and a willingness tocontinuously learn and improve skills.
Preferred Qualifications:
· Internship or project experience in AI,machine learning, or data science.
· Knowledge of natural language processing(NLP) and computer vision.
· Experience with big data technologies suchas Hadoop, Spark, and Kafka is a plus.