Sr. Developer AI

Job Summary:

The AI/ML developer is responsible for designing, developing, and implementing artificial intelligence and machine learning solutions to create intelligent and automated systems. This role works on various stages of the AI/ML development life cycle, from data preprocessing and model development to deployment and monitoring. The AI/ML developer is generally focused on integrating and implementing AI/ML algorithms and logic into the deliverables of an IT project.

Responsibilities
• Collaborates with various stakeholders to understand, meet, and answer business challenges using AI software
• Develops and implements machine learning models and algorithms to solve complex problems and extract insights from large datasets
• Selects appropriate machine learning tools, techniques and models based on the problem at hand
• Optimizes models for performance, scalability, and accuracy, considering factors like computational resources and memory constraints
• Works closely with 3rd party partners and consultants on AI Tools and implementations when implementation partners are needed
• Collaborates with software engineers to integrate AI/ML models into existing systems or develop new applications
• Stays updated with the latest advancements in AI/ML technologies and contributes to the adoption of best practices within the team
Qualification Requirements:

Education:

• A bachelor's degree in software engineering, computer science, or a related field; master's preferred

Experience:

• At least five years of experience in software engineering, AI engineering, or similar field
• Demonstrated expertise in machine learning

Skills:

• Proficiency in programming languages such as Python, R, and JavaScript for developing AI/ML applications
• Solid understanding of machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and deep learning; familiarity with natural language processing (NLP) techniques and libraries for text analysis and sentiment analysis
• Considerable knowledge of machine learning libraries and frameworks
• Proficient in exploratory data analysis (EDA) and data visualization
• Knowledge of cloud platforms such as AWS, Azure, and GCP
• Experience with version control systems like Git for collaborative development and code management
• Strong and innovative problem-solving skills used to analyze complex issues and propose AI/ML solutions