▷ (Immediate Start) Generative AI Technical Lead (Preferred Azure)

4 weeks ago

Hyderabad, India HCLTech Full time
Generative AI Technical Lead (Preferred Azure)

Job location: Hyderabad, Noida, Bangalore, Chennai

Total Experience: 10+ Years

Relevant Experience: 3+ Years

Responsibilities:

- Architect end-to-end generative AI solutions on Microsoft Azure platform, including data ingestion, model training, deployment, and monitoring.- Collaborate with data scientists, engineers, and business stakeholders to understand requirements and translate them into technical specifications.- Design and implement scalable and efficient AI pipelines utilizing Azure Machine Learning, Azure Databricks, Azure Cognitive Services, and other relevant Azure services.- Explore and evaluate new AI technologies, frameworks, and methodologies to enhance existing solutions and drive innovation.- Mentor other Gen AI resources on technical solution and deliverables.- Front end customer interactions for design and architecture of Generative AI solutions and lead the solution delivery,- Develop and maintain best practices, standards, and guidelines for generative AI architecture on Azure.- Provide technical leadership and mentorship to junior team members, fostering a culture of continuous learning and growth.- Stay updated with the latest advancements in AI, machine learning, and cloud computing, and contribute to thought leadership within the organization.

Qualifications:

- Bachelor's or master's degree in computer science, Engineering, or related field.- Proven experience architecting and implementing generative AI solutions on Microsoft Azure platform.- Deep understanding of machine learning algorithms, deep learning frameworks, and natural language processing techniques.- Strong knowledge and experience (preferable) in Microsoft OpenAI platform- Strong knowledge and experience (preferable) in NLP, GPT, LLM on Microsoft platform- Proficiency in programming languages such as Python, R, or Scala, with experience in building and deploying AI models.

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