Technology Architect - L1

  

Role Purpose
    / Roles & Responsibilities (in Detail)    Strong understanding of machine learning and deep learning principles and algorithms.
Experience in developing and implementing generative AI models and algorithms.
Proficiency in programming languages such as Python, TensorFlow, and PyTorch.
Ability to work with large datasets and knowledge of data preprocessing techniques.
Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
Experience in building and deploying generative AI systems in real-world applications.
Utilize advanced machine learning techniques to develop and train generative AI models.
Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
Research and implement cutting-edge algorithms and architectures for generative AI applications.
Optimize model performance and scalability for real-time inference and deployment.
Stay current with industry trends and advancements in generative AI technology to drive innovation.
Experiment with different hyperparameters and model configurations to improve generative AI model quality.
Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation,
Choose suitable DL algorithms, software, hardware and suggest integration methods.
Ensure AI ML solutions are developed, and validations are performed in accordance with Responsible AI guidelines & Standards
To closely monitor the Model Performance and ensure Model Improvements are done post Project Delivery
Provide technical expertise and guidance to support the integration of generative AI solutions into various products and services.
Coach and mentor our team as we build scalable machine learning solutions
Strong communication skills and an easy-going attitude
Oversee development and implementation of assigned programs and guide teammates
Carry out testing procedures to ensure systems are running smoothly
ork abilities to collaborate with cross-functional teams.
Proven track record of delivering innovative solutions using generative AI technologies.
Ability to stay updated with the latest advancements in generative AI and adapt to new techniques and methodologies.