Responsibilities :
- Design, develop, and deploy Machine Learning and Deep Learning models with a focus on Natural Language Processing (NLP).
- Architect and implement Generative AI-based solutions that align with business requirements.
- Develop and optimize microservices-based architectures for AI / ML applications.
- Work closely with clients to understand requirements and translate them into technical solutions.
- Guide and mentor the technical team in AI / ML model development and best practices.
- Evaluate and recommend appropriate technologies, frameworks, and approaches for AI / ML solutions.
- Identify technical limitations, risks, and shortcomings in advance and propose alternative solutions.
- Collaborate with data engineering teams to ensure smooth integration of AI / ML models with existing systems.
- Leverage Azure Cognitive Services, cloud platforms (Azure, GCP, AWS), and other tools for AI / ML deployment.
- Maintain technical documentation for AI / ML models, architecture, and solutions.
- Conduct performance monitoring and optimization of deployed AI / ML solutions.
Skills Required
Deep Learning, Nlp, Data Science, Ai, Ml, Python