
Advanced AI Solutions Engineer
2 days ago
As a skilled AI engineer, you will play a pivotal role in designing and implementing cutting-edge generative AI solutions that push the boundaries of what is possible.
Key Responsibilities:
- Develop and deploy next-generation generative AI models to drive business impact.
- Enhance AI capabilities by implementing and optimizing LLM fine-tuning, prompt engineering, and AI safety mechanisms.
- Integrate AI into products/services by working closely with business and engineers to embed generative AI solutions.
- Optimize for scale and performance by building and refining scalable ML pipelines for efficient model deployment and inference.
- Stay ahead of AI trends by keeping pace with emerging technologies and industry breakthroughs.
- Communicate complex AI concepts to technical and non-technical audiences to ensure alignment with business strategies.
Qualifications:
- Master's degree in Data Science, Statistics, Engineering or a related field (applicants with a Bachelor's degree and relevant work experience can also apply).
Skills and Experience:
- At least 4-5 years of experience in Data Science domain with strong exposure to Generative AI.
- Experience using Machine and Deep Learning languages to manipulate data and draw insights from large datasets.
- Hands-on experience with LLMs, multimodal AI, and diffusion models for applications in text, image, or speech generation.
- Strong proficiency in TensorFlow, PyTorch, Hugging Face Transformers, and OpenAI APIs.
- Familiarity with cloud platforms (AWS, GCP, Azure), model deployment strategies, and GPU optimization.
- Experience building data pipelines and data-centric applications using distributed storage platforms in a production setting.
- Ability to work with large-scale datasets, vector embeddings, and retrieval-based AI systems.
Benefits:
- A collaborative and innovative work environment.
- Opportunities for professional growth and development.
- Competitive compensation and benefits package.
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