SoftwareEngineeringLeadAnalyst

Degree in Computer Science, Artificial Intelligence, or a related field, Minimum of 8-11 years of experience in Workforce Management, 8+ years of total experience, 3+ years of experience in Fullstack development (Frontend, Backend and Cloud), 2+ years experience in DevOps, 2+ year in developing Gen AI Solutions and its integration with other systems, Proficiency in the core technologies for building web interfaces (HTML/CSS/JavaScript), Proficiency in server-side languages such as Python, Node. js, Experience in building and consuming RESTful, Flask / Fast API / and GraphQL APIs, Knowledge of SQL and NoSQL databases, including MySQL, PostgreSQL, MongoDB, etc., Experience with Docker and Kubernetes / OpenShift for containerization and orchestration of applications, Knowledge of continuous integration and continuous deployment tools and practices using GitHub Actions, Understanding of security principles and best practices for protecting data and systems, including IAM, encryption and network Security, Familiarity with cloud platforms like AWS for deploying and managing applications and AI models, Foundations in Machine Learning and Deep Learning: Understanding algorithms, neural networks, supervised and unsupervised learning, and deep learning frameworks like TensorFlow, PyTorch, and Keras, Knowledge of generative models such as GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and Transformers, Knowledge in NLP techniques and libraries (e. g. , spaCy, NLTK, Hugging Face Transformers) for text generation tasks, Experience with deploying models using services like TensorFlow Serving, TorchServe, or cloud-based solutions (e. g. , AWS SageMaker, Google AI Platform), Understanding of implementing Prompt Engineering, Finetuning and RAG, Proficiency with Git and version control workflows, Understanding of agile methodologies, testing, and code review practices