Address
Form of work Description
Role: AI Architect
Location: New York City, NY, 10001
Duration:12 Months
Skills
Python for Data Analysis
RESPONSIBILITIES
- Design, develop, and implement Generative AI models and algorithms, using techniques such as GPT, T5, BERT .
- 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 T5, BERT, GPT
- 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.
- 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 GPT, T5 and BERT .
- 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.
- Familiarity with cloud-based platforms and services, such as AWS, GCP, or Azure.
- 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.
- 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.
