
AI Developer
5 days ago
Job Overview:
Arpatech (Pvt) Ltd is seeking a highly skilled AI Developer to join its team. The successful candidate will design, build, and implement AI-driven solutions that enhance business processes and customer experiences.
Key Responsibilities:
- AI Development and Integration:
- Develop and deploy machine learning models and algorithms tailored to business needs.
- Integrate AI solutions into existing applications and platforms using APIs and SDKs.
- Fine-tune pre-trained generative AI models like GPT for specific use cases.
- 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.
- 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.
- Maintenance and Troubleshooting:
- Monitor the performance of deployed AI systems and resolve issues proactively.
- Evaluate and ensure scalability, security, and reliability of AI solutions.
- Documentation and Compliance:
- Document development processes, model architectures, and deployment strategies.
- Ensure compliance with data privacy regulations and ethical AI guidelines.
Qualifications and Skills:
Required:
- 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.
Preferred:
- 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.
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