GenAI Architect

Job Description:

RESPONSIBILITIES

Design, develop, and implement Generative AI models and algorithms, using Huggingface LLM models such as Falcon, Llama2.
Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.
Design, develop, and implement Generative AI use cases using Falcon, Llama2
Conduct research to stay up-to-date with the latest advancements in Generative AI, machine learning, and deep learning techniques, and identify opportunities to integrate them into customer products and services.
Design, develop, and implement NLP and Machine learning models
Productionize models – model training, model deployment, model serving, model monitoring
Optimize Generative AI models for improved performance, scalability, and efficiency.
Develop and maintain AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
Contribute to the establishment of best practices and standards for Generative AI development within the organization.
Function as a technical or project lead and while mentoring junior engineering talent
REQUIREMENTS

Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 10+ years of experience.
2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as Falcon, Llama2.
Must have 5+ Telco experience
Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras.
Strong knowledge of data structures, algorithms, and software engineering principles.
8+ years of experience with advanced natural language processing (NLP) techniques and tools, such as SpaCy, NLTK, or Hugging Face.
Familiarity with data visualization tools and libraries, such as Matplotlib, Seaborn, or Plotly.
Azure cloud experience – deployment, MLOps
Significant experience architecting cutting-edge MLOps systems in enterprise environments
Knowledge of software development methodologies, such as Agile or Scrum.
Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative AI solutions.
Strong communication skills, with the ability to effectively convey complex technical concepts to a diverse audience.
Proactive mindset, with the ability to work independently and collaboratively in a fast-paced, dynamic environment.