An AIML & Python Expert at RejoiceHub LLP is responsible for designing, developing, and deploying artificial intelligence (AI) and machine learning (ML) solutions using Python. This role includes building intelligent systems, training machine learning models, automating workflows, and developing AI-powered applications such as chatbots, recommendation engines, and predictive analytics tools. The expert must have strong programming skills, proficiency in deep learning frameworks (e.g., TensorFlow, PyTorch), and experience in data preprocessing, model optimization, and deployment. Additionally, they collaborate with data scientists, software engineers, and business teams to drive AI-driven innovations that enhance decision-making and automation at RejoiceHub LLP.

Key Responsibilities:

AI & ML Model Development:

Design, develop, and optimize machine learning and deep learning models for various applications, including predictive analytics, natural language processing (NLP), computer vision, and recommendation systems. Work with deep learning frameworks such as TensorFlow, PyTorch, and Keras to build scalable AI models. Implement supervised, unsupervised, and reinforcement learning techniques for solving complex business problems.

Data Processing & Analysis:

Perform data collection, preprocessing, and feature engineering to improve model accuracy and performance. Utilize libraries such as Pandas, NumPy, and Scikit-learn for data manipulation and analysis. Conduct exploratory data analysis (EDA) and statistical modeling to derive meaningful insights.

Automation & AI Integration:

Develop AI-driven automation tools and intelligent bots to streamline workflows and improve efficiency. Build and deploy chatbots, virtual assistants, and conversational AI solutions using NLP technologies like spaCy, NLTK, and transformers (Hugging Face).Integrate AI solutions into existing business applications and cloud platforms (AWS, Azure, Google Cloud).

Deployment & Optimization:

Deploy AI/ML models into production environments using Flask, FastAPI, or Docker.Optimize models for real-time performance, scalability, and accuracy.Implement MLOps best practices, ensuring continuous monitoring and improvement of AI solutions.

Collaboration & Innovation:

Work closely with data scientists, software engineers, and business analysts to develop AI-driven solutions tailored to business needs.tay updated with the latest advancements in AI, ML, and Python technologies, ensuring RejoiceHub LLP remains at the forefront of innovation.Provide technical guidance and mentorship to junior team members, fostering a culture of learning and growth.