-Title: Artificial intelligence Architect

Location: Raritan, NJ(Onsite)

Contract role

Must have: Need LLM (Large Language Models) and Open AI experience.

Secondly the candidate based should be data engineering, data & analytics and data sciences. Should have worked/delivered project with LLMs. Should have hands on knowledge in Azure Open AI/Open AI.

Qualifications:

• 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

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
• 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