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:3 to 5 Years

We are seeking a talentedand experienced GEN AI Architect to join our dynamic team. The ideal candidatewill have a solid background in AI and machine learning, with specificexpertise in the GEN AI framework. This role involves designing, developing, andimplementing AI solutions to solve complex business challenges.

Responsibilities:

·      Design and develop scalable AIarchitectures using the GEN AI framework to meet business requirements.

·      Lead the implementation of AI models andsolutions, ensuring they integrate seamlessly with existing systems.

·      Work closely with cross-functional teams,including data scientists, engineers, and business stakeholders, to ensure thesuccessful deployment of AI solutions.

·      Optimize the performance of AI models andsolutions, focusing on efficiency, scalability, and reliability.

·      Stay updated with the latest advancementsin AI and machine learning technologies and apply them to improve our AIcapabilities.

·      Maintain comprehensive documentation forAI models, architecture designs, and implementation processes.

·      Provide guidance and mentorship to juniorAI developers and engineers within the team.

Qualifications:

·      Bachelor’s or Master’s degree in ComputerScience, Artificial Intelligence, Data Science, or a related field.

·      3-5 years of experience in AI and machinelearning, with a proven track record of designing and implementing AIsolutions.

·      Proficiency in the GEN AI framework.

·      Strong programming skills in Python, Java,or other relevant languages.

·      Experience with AI/ML libraries andframeworks such as TensorFlow, PyTorch, scikit-learn, etc.

·      Familiarity with cloud platforms like AWS,Azure, or Google Cloud for deploying AI solutions.

·      Knowledge of data preprocessing, featureengineering, and model evaluation techniques.

·      Excellent problem-solving skills with theability to tackle complex AI challenges.

·      Strong verbal and written communicationskills, with the ability to convey technical concepts to non-technicalstakeholders.

·      Ability to work effectively in acollaborative team environment.

Preferred Qualifications:

·      Experience with natural languageprocessing (NLP) and computer vision.

·      Knowledge of big data technologies such asHadoop, Spark, and Kafka.

·      Certification in AI/ML or relatedtechnologies.

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