Artificial Intelligence Engineer

2 weeks ago


Delhi, Delhi, India Druta AI Full time

Company Description :Introducing Druta AI – your partner in building personalized AI for your business. Our platform makes it simple to design custom AI solutions that understand your unique needs, helping you connect with your customers and boost engagement. With Druta AI, you can create smart, tailored experiences that drive growth and elevate every interactionJob Role :We are looking for an AI Engineer to design, develop, and optimize AI models and systems. You will work on various AI/ML use cases, including deep learning, computer vision, NLP, generative AI, and reinforcement learning. This role involves research, model development, deployment, and continuous improvement of AI applications to enhance performance and user experience.Key Responsibilities :- Develop, train, and optimize machine learning (ML) and deep learning (DL) models for various AI-driven applications.- Work with LLMs (Large Language Models), generative AI, computer vision, NLP, and reinforcement learning techniques.- Research and implement state-of-the-art AI algorithms and techniques to solve complex problems.- Build and deploy AI models using TensorFlow, PyTorch, Keras, and Hugging Face Transformers.- Work on data preprocessing, feature engineering, and augmentation to improve model performance.- Deploy AI solutions at scale using Docker, Kubernetes, AWS/GCP/Azure AI services.- Implement MLOps practices, including CI/CD pipelines, model monitoring, and versioning.- Optimize AI systems for efficiency, scalability, and cost-effectiveness.- Stay updated with the latest AI advancements, research papers, and emerging technologies.Technical Skills:- Strong proficiency in Python for AI/ML development.- Expertise in machine learning, deep learning, and statistical modeling.- Hands-on experience with ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn, Keras, etc.).- Proficiency in NLP, computer vision, or reinforcement learning.- Experience with LLMs (GPT, BERT, LLaMA, etc.) and generative AI models.- Strong understanding of mathematics, linear algebra, probability, and optimization techniques.- Experience with big data processing (Spark, Hadoop, Dask) and working with large datasets.- Familiarity with cloud computing services (AWS SageMaker, Google AI, Azure ML).- Knowledge of Vector databases for AI data storage and retrieval.- Experience with DevOps, MLOps, and model deployment using Docker & KubernetesSoft Skills:- Strong problem-solving and critical thinking abilities.- Ability to work independently as well as in a collaborative team environment.- Excellent communication and documentation skills.- Passion for AI innovation and solving real-world problems with technology.Preferred Qualifications:- Experience in ethical AI development and bias mitigation.- Prior experience working in AI research or AI-driven product development.



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