AI Engineer | Designing, developing, and deploying AI/ML solutions (Chennai)

Key Responsibilities - Develop, deploy, and optimize machine learning and Generative AI solutions. - Build end-to-end ML pipelines, including data processing, model training, evaluation, and deployment. - Work with LLMs, RAG frameworks, prompt engineering, and AI agents. - Collaborate with cross-functional teams to deliver business-driven AI solutions. - Monitor model performance and implement continuous improvements. - Stay updated with the latest advancements in AI and machine learning technologies. Required Qualifications - 35 years of experience in AI, Machine Learning, or Data Science. - Solid proficiency in Python, SQL, and ML libraries such as Scikit-learn, Pandas, TensorFlow, or PyTorch. - Experience with Generative AI, LLMs, and prompt engineering. - Knowledge of MLOps, Docker, Git, and cloud platforms (AWS, Azure, or GCP). - Strong analytical, problem-solving, and communication skills. - Bachelor's degree in Computer Science, Engineering, AI, or a related field. Preferred Skills - Experience with LangChain, LlamaIndex, RAG, and vector databases. - Knowledge of NLP, Computer Vision, or Deep Learning. - Familiarity with Kubernetes, MLflow, and CI/CD pipelines. - Master's degree or relevant AI certifications are a plus. Key Responsibilities - Develop, deploy, and optimize machine learning and Generative AI solutions. - Build end-to-end ML pipelines, including data processing, model training, evaluation, and deployment. - Work with LLMs, RAG frameworks, prompt engineering, and AI agents. - Collaborate with cross-functional teams to deliver business-driven AI solutions. - Monitor model performance and implement continuous improvements. - Stay updated with the latest advancements in AI and machine learning technologies. Required Qualifications - 35 years of experience in AI, Machine Learning, or Data Science. - Solid proficiency in Python, SQL, and ML libraries such as Scikit-learn, Pandas, TensorFlow, or PyTorch. - Experience with Generative AI, LLMs, and prompt engineering. - Knowledge of MLOps, Docker, Git, and cloud platforms (AWS, Azure, or GCP). - Strong analytical, problem-solving, and communication skills. - Bachelor's degree in Computer Science, Engineering, AI, or a related field. Preferred Skills - Experience with LangChain, LlamaIndex, RAG, and vector databases. - Knowledge of NLP, Computer Vision, or Deep Learning. - Familiarity with Kubernetes, MLflow, and CI/CD pipelines. - Master's degree or relevant AI certifications are a plus.