AI Engineer

Job Summary: We are looking for a skilled AI Developer/Engineer to design, build, and implement AI-driven solutions that enhance business processes and customer experiences. The role involves working with cutting-edge AI models, integrating them into applications, and fine-tuning systems to ensure optimal performance. The ideal candidate will have expertise in machine learning, natural language processing, and generative AI technologies. Key Responsibilities:

1. AI Development and Integration:
   • Build and deploy machine learning models and algorithms tailored to business needs.
   • Integrate AI solutions into existing applications and platforms using APIs and SDKs.
   • Optimize and fine-tune pre-trained generative AI models like GPT for specific use cases.
2. Data Preparation and Training:
   • Collect, preprocess, and analyze large datasets for training and testing.
   • Develop and implement data pipelines to support AI models.
   • Monitor model performance and retrain as necessary to maintain accuracy and efficiency.
3. Collaboration and Innovation:
   • Work with cross-functional teams to identify areas where AI can drive value.
   • Prototype and demonstrate AI capabilities to stakeholders.
   • Stay updated on the latest trends and advancements in AI technologies.
4. Maintenance and Troubleshooting:
   • Monitor the performance of deployed AI systems and resolve issues proactively.
   • Ensure scalability, security, and reliability of AI solutions.
5. Documentation and Compliance:
   • Document development processes, model architectures, and deployment strategies.
   • Ensure compliance with data privacy regulations and ethical AI guidelines.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Proven experience in developing and deploying AI/ML models in production environments.
• Proficiency in programming languages like Python, R, or Java.
• Strong understanding of AI frameworks and libraries (e.g., TensorFlow, PyTorch, Keras).
• Hands-on experience with natural language processing (NLP), computer vision, or generative AI.
• Knowledge of cloud platforms like Azure AI, AWS AI/ML, or Google Cloud AI.

• Certifications such as Microsoft AI-900 (AI Fundamentals) or equivalent.
• Experience with RESTful APIs and microservices for AI model deployment.
• Familiarity with database technologies (SQL/NoSQL) and data visualization tools.
• Strong problem-solving skills and attention to detail.