Gen AI Lead

Job Description:

• Generative AI Expertise Good understanding of various Generative AI techniques including GANs VAEs and other relevant architectures
• Proven experience in applying these techniques to real world problems for tasks such as image and text generation
• Conversant with Gen AI development tools like Prompt engineering Langchain Semantic Kernels Function calling
• Exposure to both API based and opens source LLMs based solution design
• Technical Proficiency An overall understanding of below technologies is required
• Machine learning algorithms Linear regression logistic regression decision trees random forests support vector machines neural networks
• Data science tools NumPy SciPy Pandas Matplotlib TensorFlow Keras
• Cloud computing platforms AWS Azure GCP
• Natural language processing NLP Transformer models attention mechanisms word embeddings
• Computer vision Convolutional neural networks recurrent neural networks object detection
• Robotics Reinforcement learning motion planning control systems
• Data ethics Bias in machine learning fairness in algorithms

Key Responsibilities:

• Strong Python proficiency with experience in FastAPI asyncio modular application design and parallel processing
• Develop scalable and modular Python applications for deploying generative AI solutions
• Build and manage cloud infrastructure using AWS services S3 Lambda DynamoDB ECS EKS
• Automate infrastructure provisioning and configuration using Terraform
• Collaborate with data scientists ML engineers and product teams to integrate AI models into domain specific applications
• Ensure production grade scalability reliability and security of GenAI systems
• Monitor and optimize system performance using tools like AWS CloudWatch
• Stay updated with advancements in GenAI cloud computing MLOps and DevOps
• Contribute to code reviews documentation and Python development best practices

Technical Requirements:

• Familiarity with Python parallel processing modules such as multiprocessing concurrent
• futures dask for efficient parallel and distributed computing
• Hands on experience with GenAI frameworks such as LangChain LangGraph and Prompt Engineering
• Proficient in AWS cloud services and cloud native architecture
• Skilled in Infrastructure as Code IaC using Terraform
• Familiar with CI CD pipelines Docker and Kubernetes
• Familiarity with code quality tools such as pylint black isort mypy pytest SonarQube SonarLint and Black Duck for linting formatting testing static analysis and open source security compliance
• Solid understanding of security best practices in cloud and AI deployments

Preferred Skills:

Technology->Machine Learning->Generative AI,Technology->Machine Learning->TensorFlow,Technology->Machine Learning->Python