GenAI Engineer - Application Developer

Generative AI Engineer - NLP & Machine Learning Specialist 3-6 year of Exp.

Strong Expertise - Generative AI Model Development- Natural Language Processing (NLP)- Machine Learning & Deep Learning- Python Programming for AI Development- Model Fine-Tuning & Optimization- AI Model Deployment & MLOps (Docker, Kubernetes, CI/CD)- Data Science & Statistics

1. Basic Proficiency -

• Large Language Models (LLMs) & Open-Source AI Frameworks- Data Engineering & Data Processing (Apache Spark, Pandas, NumPy, PyTorch, Scikit-learn, TensorFlow)- Conversational AI & Chatbot Development (LangChain, AutoGen)- Cloud AI Platforms (GCP, AWS, Azure).
• Knowledge Only - Open-Source Contributions in AI- Software Design Principles & Architecture- AI Ethics & Bias Mitigation

2. Primary Skills - Generative AI Model Development

• Design, develop, and deploy state-of-the-art generative AI models, including open-source LLMs, tailored for specific business needs.Natural Language Processing (NLP)
• Implement advanced NLP techniques such as text generation, summarization, translation, and sentiment analysis for AI-driven solutions.
• Machine Learning & Deep Learning - Apply cutting-edge ML and deep learning algorithms to enhance AI model accuracy and efficiency in real-world applications.
• Python Programming for AI Development
• Strong proficiency in Python (or R/Java) for developing and implementing AI models, leveraging frameworks like Hugging Face, OpenAI GPT, spaCy, and NLTK.
• Model Fine-Tuning & Optimization
• Customize pre-trained AI models for domain-specific use cases, optimizing them for performance, scalability, and efficiency.
• AI Model Deployment & MLOps
• Develop, deploy, and maintain AI models in production environments using FastAPI, Django, and MLOps tools such as Docker, Kubernetes, and CI/CD pipelines.

3. Secondary Skills

• Large Language Models (LLMs) & Open-Source AI Frameworks
• Experience with LangChain, AutoGen, and other frameworks to build scalable AI solutions that leverage large-scale pre-trained models.
• Data Engineering & Data Processing
• Work with data processing frameworks such as Apache Spark, Pandas, PyTorch, NumPy, Scikit-learn, and TensorFlow to prepare high-quality training datasets.
• Conversational AI & Chatbot Development
• Develop intelligent chatbots and conversational AI applications using NLP techniques, integrating with business applications.Cloud AI Platforms (GCP, AWS, Azure)
• Strong knowledge of cloud platforms to deploy and scale AI applications efficiently in cloud environments.
• Open-Source Contributions in AIActively contribute to open-source AI projects, improving and innovating existing LLMs and generative AI technologies.
• AI Ethics & Bias Mitigation
• Awareness of AI fairness, ethical considerations, and techniques to mitigate biases in generative AI models.