Sr. ML Architect

As a Technical Expertise, you will be responsible for utilizing your knowledge and experience in statistical and machine learning algorithms to drive impactful solutions. Your key responsibilities will include: - Utilizing expertise in Python with strong proficiency in SQL and ML frameworks such as scikit-learn, TensorFlow, and PyTorch - Executing projects involving fine-tuning with LLMs - Conducting feature selection, building, and optimizing classifiers - Working with backend technologies like Flask/Gunicorn - Implementing deep learning architectures including CNNs, RNNs, Transformers, GANs, and modern optimization techniques - Hands-on experience with generative AI technologies like GPT, BERT, T5, prompt engineering, fine-tuning, retrieval-augmented generation, and MCP integration - Designing and implementing AI agent architectures, multi-agent systems, and autonomous decision-making frameworks - Demonstrating expertise in document processing, OCR, information extraction, and computer vision applications - Working on conversational AI, voice recognition technologies, and intelligent chatbot systems - Proficiency in cloud platforms (AWS, GCP, Azure) and ML operations tools (MLflow, Kubeflow, Docker, Kubernetes) - Strong knowledge of data preprocessing, feature engineering, and model evaluation techniques - Deploying ML models in production environments with demonstrated business impact - Experience with A/B testing, causal inference, and experimental design methodologies - Knowledge of workflow automation, system integration, and API development for seamless AI solution deployment You should have a proven track record of deploying ML models in production environments with demonstrated business impact. Additionally, you should possess knowledge and experience in workflow automation, system integration, and API development for seamless AI solution deployment.,