Title: Sr Solution Architect
GEN AI Architect
- Bachelor/Master degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field with 15+ years of experience
- Should be from premier institute like IIT, NIT or equal.
- 2+ years of experience in developing and implementing Generative AI models, with a strong understanding of techniques such as GPT, T5 and BERT
- Experience with LLMs OpenAI GPT and others
- Experience in latest GenAI application development frameworks
- Project management and governance experience preferred. Candidates with Technical and management skills given stronger preference.
- Life sciences experience preferred.
- Experience with handling customers at SLT and VP level.
- Proficiency in Python and have 8+ years of experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or Keras
- Experience in developing Fast API and documentations
- Experience working with SQL, NoSQL, Elastic, Files etc.
- Strong knowledge of data structures, algorithms, and software engineering principles
- Familiarity with cloud-based platforms and services, such as AWS (must), 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. Able to execute thought leadership.
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