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13 Rayvat Outsourcing Services Jobs
Intermediate GenAI Engineer
Rayvat Outsourcing Services
posted 3+ weeks ago
Job Role Insights
Key skills for the job
Job Description
- Develop, fine-tune, and deploy generative AI models using frameworks such as GPT, BERT, DALL E, Stable Diffusion, etc.
- Research and implement cutting-edge machine learning algorithms in NLP, computer vision, and multimodal systems.
- Collaborate with data scientists, ML engineers, and product teams to integrate AI solutions into products and platforms.
- Create APIs and pipelines to deploy models in production environments, ensuring scalability and performance.
- Analyze large datasets to identify key features, patterns, and use cases for model training.
- Debug and improve existing models by evaluating performance metrics and applying optimization techniques.
- Stay up-to-date with the latest advancements in AI, deep learning, and generative models to continually enhance the solutions.
- Document technical workflows, including model architecture, training processes, and performance reports.
- Ensure ethical use of AI, adhering to guidelines around AI fairness, transparency, and privacy.
- Bachelor s/Master s degree in Computer Science, Machine Learning, Data Science, or a related field.
- 2-4 years of hands-on experience in machine learning and AI development, particularly in generative AI.
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or similar.
- Experience with NLP models (e.g., GPT, BERT) or image-generation models (e.g., GANs, diffusion models).
- Strong knowledge of Python and libraries like NumPy, Pandas, scikit-learn, etc.
- Experience with cloud platforms (e.g., AWS, GCP, Azure) for AI model deployment and scaling.
- Familiarity with APIs, RESTful services, and microservice architectures.
- Strong problem-solving skills and the ability to troubleshoot and optimize AI models.
- Good understanding of data preprocessing, feature engineering, and handling large datasets.
- Excellent written and verbal communication skills, with the ability to explain complex concepts clearly.
- Experience with multimodal AI systems (combining text, image, and/or audio data).
- Familiarity with ML Ops and CI/CD pipelines for deploying machine learning models.
- Experience in A/B testing and performance monitoring of AI models in production.
- Knowledge of ethical AI principles and AI governance.
Employment Type: Full Time, Permanent
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