Job Overview:

The AI Developer is responsible for creating and deploying artificial intelligence models and algorithms to build intelligent systems that solve complex problems. In this role, the AI Developer will design, code, test, and maintain AI-driven applications, working closely with data scientists, software engineers, and other stakeholders to integrate AI solutions into products and services. The ideal candidate will have a deep understanding of machine learning and AI techniques, strong programming skills, and a passion for creating innovative AI applications.

Key Responsibilities:

• AI Model Development: Develop and implement machine learning algorithms, deep learning models, and AI systems that address specific business or technical needs.
• Data Preparation: Work with large datasets to clean, preprocess, and structure data for training and testing AI models, ensuring high-quality input.
• Programming: Write clean, efficient, and maintainable code in languages such as Python, Java, or C++, and utilize relevant AI frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Algorithm Design & Optimization: Design AI algorithms that can process large amounts of data and deliver actionable insights; optimize algorithms for performance and scalability.
• Model Training and Tuning: Train AI models using supervised, unsupervised, or reinforcement learning methods, and fine-tune model parameters for accuracy and efficiency.
• Deployment: Collaborate with software engineers to integrate AI models into production systems, ensuring that models work seamlessly with existing software applications.
• Continuous Improvement: Monitor AI models’ performance in production, refine and retrain models as needed, and ensure continuous learning from incoming data.
• Testing & Debugging: Test AI models thoroughly to identify and fix bugs or issues, ensuring that AI solutions function correctly and reliably in real-world scenarios.
• Documentation: Maintain clear documentation on AI model designs, codebase, and algorithms to ensure reproducibility and provide transparency for future developers or teams.
• Collaboration: Work closely with product managers, data scientists, and other technical teams to understand project goals, refine AI solutions, and ensure alignment with business objectives.
• Stay Up-to-Date: Continuously research and adopt new AI techniques, machine learning methods, and industry best practices to improve solutions.

Skills & Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience: 2-3 years of experience in developing AI models, machine learning systems, or software development with a focus on AI technologies.
• Technical Skills:
  • Strong programming skills in Python, Java, C++, or similar languages.
  • Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, Keras, Scikit-learn, or others.
  • Familiarity with data manipulation tools and libraries like Pandas, NumPy, and Matplotlib.
  • Experience with cloud platforms (e.g., AWS, GCP, Azure) for deploying AI models.
  • Knowledge of SQL and NoSQL databases for managing and retrieving large datasets.
• AI/ML Expertise: Solid understanding of machine learning, deep learning, natural language processing (NLP), or computer vision techniques.
• Problem-Solving: Strong ability to analyze complex problems, break them down into manageable tasks, and develop practical AI solutions.
• Collaboration: Excellent team collaboration and communication skills to work with cross-functional teams and stakeholders.
• Communication: Ability to clearly explain complex AI concepts to non-technical stakeholders.
• Version Control: Proficiency in using version control systems such as Git.

Preferred Qualifications:

• Experience with Deep Learning: Experience in developing and deploying deep learning models such as CNNs (Convolutional Neural Networks), RNNs (Recurrent Neural Networks), GANs (Generative Adversarial Networks), etc.
• Experience with NLP or Computer Vision: Specialized experience with NLP techniques (e.g., language models, transformers) or computer vision (e.g., image classification, object detection).
• Industry Knowledge: Experience in applying AI solutions in specific industries (e.g., healthcare, finance, e-commerce).
• Cloud-based AI Solutions: Knowledge of deploying AI models to cloud services (e.g., AWS Sagemaker, Google AI Platform).
• AI Ethics: Understanding of AI ethics, fairness, transparency, and the ability to create explainable AI solutions.

Working Conditions:

• Office-based: This position is on-site.
• Standard working hours with flexibility.
• Occasional travel may be required for team meetings or project collaboration.