Job Title

Key ResponsibilitiesDesign and deploy GenAI and traditional AI solutions using advanced techniques and AWS infrastructure.Develop and expose APIs using AWS services.Rapidly prototype proof-of-concept AI solutions.Handle and process data from diverse sources including spreadsheets, SQL databases, APIs, and S3.Communicate complex technical concepts clearly to senior stakeholders.Technical Expertise1. Generative AI & Machine LearningPrompt Engineering, Agent-based Architectures, RAG, Transformer Architectures.Fine-tuning LLMs, Model Optimization, Deployment Strategies on AWS.LangChain or similar frameworks.AWS Bedrock Mandatory with High Expertise.2. Traditional AI/ML TechniquesRegression, Classification, Clustering, Ensemble Methods, Dimensionality Reduction, Anomaly Detection.Neural Networks: ANNs, CNNs, RNNs, LSTM, GRUs, Transformers, GANs, VAEs.Reinforcement Learning.Strong foundation in Linear Algebra, Calculus, and Statistics.3. Development & DeploymentAPI development using AWS API Gateway, Lambda, RDS, DynamoDB, Redis, Route 53.Infrastructure as Code: AWS CDK or CloudFormation Templates.CI/CD: CodeDeploy, CodeBuild.4. Programming & ToolsPython and ML libraries: Scikit-learn, TensorFlow, Keras, PyTorch, MXNet, XGBoost.Ethical AI: Fairness, Explanability, Transparency, Societal Impact.Experience & Qualifications6 years of experience implementing enterprise AI projects.Proven ability to deliver real-world AI solutions.Excellent communication and articulation skills.Immediate to Serving NP until month end.