AI Specialist

Job Description

Job Description: We are looking for an experienced and innovative AI Specialist to join our team. The ideal candidate will have a strong foundation in AI and machine learning algorithms, hands-on experience in developing and deploying models, and a passion for leveraging AI to solve complex problems. This role requires a blend of technical expertise in AI and machine learning, proficiency in programming languages, and experience with cloud platforms. Key Responsibilities: Develop, train, and deploy machine learning models for various applications using state-of-the-art algorithms. Analyze data, conduct data preprocessing, and apply feature engineering to enhance model performance. Work with supervised and unsupervised learning techniques, including classification, regression, clustering, and reinforcement learning. Integrate models with applications using REST APIs, ensuring smooth deployment and scalability. Collaborate with cross-functional teams in an Agile environment to deliver AI-driven solutions. Maintain and improve existing models through continuous optimization and monitoring. Primary Skills and Qualifications: AI and ML Algorithms : Strong understanding of AI, machine learning, and deep learning concepts, including supervised/unsupervised learning, classification, regression, clustering, and reinforcement learning. Technical Skills : Programming Languages : Advanced skills in Python (for data analysis and model development), with experience in R and SQL as a plus. Machine Learning Libraries : Proficiency with libraries such as TensorFlow, PyTorch, and scikit-learn. Cloud Platforms : Experience deploying machine learning models on AWS, Azure, or Google Cloud. Model Integration Tools : Familiarity with Docker and Kubernetes for containerization, as well as REST APIs for seamless integration. Secondary Skills and Preferred Qualifications: Natural Language Processing (NLP) : Experience with NLP tools such as NLTK, spaCy, and BERT. Agile Methodologies : Understanding of Agile development practices, including familiarity with tools like JIRA. Mathematics and Statistics : Strong foundation in probability, statistics, and linear algebra for model development and evaluation. Data Handling : Skilled in data preprocessing, data wrangling, and feature engineering to prepare data for analysis. Additional Requirements: Bachelors or masters degree in computer science or related field Strong problem-solving skills and the ability to think analytically. Excellent communication skills to collaborate effectively with team members and stakeholders.