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 requirements 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.