Senior Engineer - AIML

Title: Senior Engineer - AIML • Minimum 5 years of experience in machine learning engineering and AI development, building and deploying and scaling AI based solutions in production. • Deep expertise in machine learning algorithms and techniques like supervised/unsupervised learning, deep learning, reinforcement learning, etc. • Solid experience in natural language processing (NLP) - language models, text generation, sentiment analysis, etc. • Proven understanding of generative AI concepts like text/image/audio synthesis, diffusion models, transformers, etc. • Experience working with Agentic AI frameworks like Langgraph, ADK, Autogen etc. • Hands-on experience in developing and deploying generative AI applications (text generation, conversational AI, image synthesis, etc.) • Experience in MLOps and ML model deployment pipelines. • Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. • Knowledge of cloud platforms (AWS, GCP, Azure) and tools for scalable ML solution deployment. • Design, develop and optimize machine learning models for applications across different domains. • Build natural language processing pipelines for tasks like text generation, summarization, translation, etc. • Develop and deploy cutting-edge generative AI & Agentic AI applications. • Implement MLOps practices - model training, evaluation, deployment, monitoring, and maintenance. • Integrate machine learning capabilities into existing products or build new AI-powered applications. • Perform data mining, cleaning, preparation, and augmentation for training robust ML models. • Collaborate with cross-functional teams to translate AI

into technical implementations. • Ensure model performance, scalability, reliability. • Continuously research and implement state-of-the-art AI/ML algorithms and techniques. • Bachelor’s or master’s degree in computer science, AI, Statistics, Math or related fields.