Senior Engineer AI

You have a fantastic opportunity ahead if you are passionate about machine learning engineering and AI development. Here is what you can expect in this role: **Role Overview:** You will be responsible for designing, developing, and optimizing machine learning models for various applications across different domains. Additionally, you will build natural language processing pipelines for tasks such as text generation, summarization, and translation. Your role will involve developing and deploying cutting-edge generative AI & Agentic AI applications, implementing MLOps practices, and integrating machine learning capabilities into existing products or building new AI-powered applications. You will also be involved in data mining, cleaning, preparation, and augmentation for training robust ML models. Collaboration with cross-functional teams to translate AI requirements into technical implementations will be a key aspect of your responsibilities. Furthermore, you will ensure model performance, scalability, and reliability while continuously researching and implementing state-of-the-art AI/ML algorithms and techniques. Managing the end-to-end ML lifecycle from data processing to production deployment will also be part of your role. **Key Responsibilities:** - 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. - Manage the end-to-end ML lifecycle from data processing to production deployment. **Qualification Required:** - Minimum 5 years of experience in machine learning engineering and AI development. - 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. - Proficiency in programming languages like Python, and ML frameworks like TensorFlow, PyTorch, etc. - Bachelors or masters degree in computer science, AI, Statistics, Math, or related fields.,