Senior ML Engineer

Role Overview: You will be responsible for applying your expertise in ML & AI including classical ML, deep learning, generative AI, and agentic AI to develop innovative solutions. Your strong skills in Python, SQL, TensorFlow, PyTorch, MLflow, and Kubeflow will be crucial for the successful deployment of ML models. Additionally, you will work on LLM fine-tuning, Retrieval-Augmented Generation (RAG), MCP integration, AI agent architectures, conversational AI, chatbots, voice AI, OCR, computer vision, document intelligence, and automated validation workflows. Your knowledge of deep learning architectures such as CNN, RNN, and Transformers will be utilized for developing advanced AI solutions. Experience in production-grade ML deployment on cloud platforms like AWS, Azure, or GCP is essential. Strong communication skills will be key for collaborating with cross-functional global teams. Key Responsibilities: - Apply expertise in ML & AI including classical ML, deep learning, generative AI, and agentic AI - Utilize strong Python, SQL, TensorFlow, PyTorch, MLflow, and Kubeflow skills for ML model deployment - Work on LLM fine-tuning, Retrieval-Augmented Generation (RAG), MCP integration, and AI agent architectures - Develop conversational AI, chatbots, voice AI, OCR, computer vision, and document intelligence solutions - Implement automated validation workflows and deep learning architectures (CNN, RNN, Transformers, GANs) - Deploy production-grade ML models on cloud platforms like AWS, Azure, or GCP - Collaborate effectively with cross-functional global teams using strong communication skills Qualifications Required: - Expertise in ML & AI with knowledge of classical ML, deep learning, generative AI, and agentic AI - Strong programming skills in Python, SQL, and experience with TensorFlow, PyTorch, MLflow, and Kubeflow - Familiarity with LLM fine-tuning, Retrieval-Augmented Generation (RAG), and MCP integration - Experience in AI agent architectures, conversational AI, chatbots, voice AI, OCR, computer vision, and document intelligence - Knowledge of deep learning architectures such as CNN, RNN, Transformers, and GANs - Previous experience in production-grade ML deployment on cloud platforms like AWS, Azure, or GCP - Excellent communication skills for effective collaboration with cross-functional global teams What's on Offer: You can look forward to a great work environment where you will have a leadership role and excellent career development opportunities.,