Artificial Intelligence Developer
2 weeks ago
Key Responsibilities
- Design, develop, and deploy AI models and algorithms for production applications.
- Perform data acquisition, cleaning, preprocessing, and feature engineering for model training.
- Implement and optimize machine learning and deep learning models, including NLP and computer vision.
- Integrate AI solutions into software and business processes, collaborating with cross-functional teams.
- Conduct model evaluation, validation, fine-tuning, and troubleshooting for accuracy and performance.
- Monitor deployed models and AI systems, ensuring reliability and scalability.
- Use MLOps tools (e.g., MLflow, Docker) for lifecycle management of AI solutions.
- Stay updated on the latest AI and ML research, frameworks, and technologies.
Required Skills
- Bachelors or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.
- 3–4 years of professional experience building and deploying AI models in production.
- Proficiency in Python and experience with ML and DL frameworks (TensorFlow, PyTorch, scikit-learn).
- Solid understanding of supervised, unsupervised, and reinforcement learning approaches.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) for model deployment.
- Familiarity with MLOps practices, API development, and software engineering principles.
- Strong problem-solving, communication, and teamwork skills.
Preferred Skills
- Experience with large language models (LLMs), GenAI (e.g., GPTs, Llama), RAG, and vector databases.
- Knowledge of data visualization, data pipelines, and big data tools.
- Exposure to ethical AI practices and secure model development.
- Prior contribution to open-source projects, hackathons, or AI publications is a plus.
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