Job Description

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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:

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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:

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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:

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