AI Developer

Responsibilities

• AI & Machine Learning Development
• Design, develop, train, and deploy AI and machine learning models.
• Build intelligent systems using NLP, predictive analytics, and automation technologies.
• Develop and optimize algorithms for business applications.
• Fine-tune and evaluate AI models for performance and accuracy.
• Software Development & Integration
• Integrate AI models into existing applications and platforms.
• Develop APIs and backend services for AI functionalities.
• Collaborate with software engineers to ensure scalable deployment.
• Maintain version control and proper documentation for AI projects.
• Data Management
• Collect, clean, preprocess, and analyze structured and unstructured data.
• Work with large datasets and databases to support AI model training.
• Ensure data quality, integrity, and security standards are maintained.
• Research & Innovation
• Stay updated with emerging AI technologies, tools, and frameworks.
• Conduct research and proof-of-concept development for new AI initiatives.
• Recommend improvements and innovative AI-driven solutions.
• Collaboration & Reporting
• Work closely with business stakeholders to understand requirements.
• Present technical concepts and AI solutions to non-technical teams.
• Prepare technical documentation and project reports.
• Support troubleshooting and continuous improvement initiatives.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science, or a related field.
• Proven experience in AI/ML development and software engineering.
• Strong programming skills in Python, Java, or similar languages.
• Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Knowledge of APIs, cloud platforms, and database systems.
• Understanding of data structures, algorithms, and software architecture.

Required Skills

• Analytical and problem-solving skills
• Critical thinking and innovation
• Strong communication and collaboration skills
• Attention to detail
• Project and time management
• Ability to work in agile environments

Preferred Skills

• Experience with Generative AI and Large Language Models (LLMs).
• Familiarity with AI model deployment and MLOps practices.
• Experience with NLP, computer vision, or recommendation systems.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Certifications in AI or machine learning are a plus.