Technical Architect

TQuanta

Exposure in implementation of Generative AI models utilizing platforms like but not limited to Azure OpenAI, Vertex AI, AWS Bedrock

Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment with overall business goals.

Conduct research to stay updated with the latest advancements in Generative AI, Machine Learning and Deep learning techniques, and identify opportunities to integrate them into products and services.

Proficient in Python and have exposure with Machine Learning libraries such as TensorFlow, PyTorch, Keras, and frameworks like Flask, Django

Exposure with natural language processing (NLP) techniques and library/tools such as SpaCy, NLTK, or Hugging Face

Optimization of existing Generative AI models for improved performance, accuracy, and efficiency

Development and maintenance of AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.

Exposure of cloud-based platforms and services, such as AWS, Azure, and GCP

Willing to explore new within technologies and implement the same.

Knowledge of software development methodologies such as Agile Scrum

Create documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.

Contribute to the establishment of best practices and standards for implementation of Generative AI models.

Provide technical mentorship and guidance to junior team members.

Strong communication & interpersonal skills

Experience : 12 - 15 Years

No. of Openings : 10

Education : Any Bachelor Degree

Role : Technical Architect

Industry Type : IT-Hardware & Networking / IT-Software / Software Services

Gender : [ Male / Female ]

Job Country : India