Description

Key Skills: AWS, SQL, Python, DB, Rdbms

Roles and Responsibilities:

• Build AI platform(s) leveraging LLM and GenAI capabilities, including scalable AI solutions with privacy, security, and fairness considerations.
• Deliver full stack development covering triage, design, coding, implementation, and production deployment support.
• Develop and integrate robust APIs for platform and portal integration, including RESTful services and GraphQL where applicable.
• Design and maintain ML document processing pipelines and integrate with RPA platforms.
• Perform code reviews with scrum teams and support production deployment readiness.
• Establish and improve proactive monitoring and management of supported assets to ensure performance, availability, security, and capacity.
• Collaborate with delivery partners and business stakeholders to understand requirements and deliver effective solutions.

Skills Required:

• Strong experience in AWS cloud services and cloud-based application development.
• Proficiency in Python, SQL, DB concepts, and RDBMS systems.
• Hands-on experience in full stack development using Angular or React.
• Experience in building and consuming APIs including REST and GraphQL services.
• Strong understanding of DevOps practices including CI/CD, Docker, Kubernetes, OpenShift, and cloud deployment models.
• Knowledge of CI/CD pipelines and continuous integration, delivery, and deployment practices.
• Understanding of security concepts including IAM, encryption, and network security.
• Exposure to multi-cloud platforms such as AWS, Azure, and Google Cloud.
• Experience in machine learning and deep learning frameworks such as TensorFlow, PyTorch, and Keras.
• Familiarity with Generative AI concepts including GAN, VAE, Transformers, NLP, Hugging Face, prompt engineering, fine-tuning, RAG, and LLMs.
• Experience in model deployment tools such as TensorFlow Serving, TorchServe, AWS SageMaker, and Google AI Platform.
• Knowledge of RPA tools and automation workflows.
• Strong understanding of Agile methodologies, testing, code review processes, and DevOps practices.
• Experience working across GenAI platforms and end-to-end software development lifecycle.

Education: Degree in Computer Science, Artificial Intelligence, or a related field

Key Skills

Education

Any Graduate