AI Specialist

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.