
Generative AI Strategist
4 hours ago
We are seeking a highly skilled Generative AI Strategist to join our team.
This role involves designing and implementing cutting-edge AI models that leverage large language models, prompt engineering, and deep learning techniques to drive business growth.
The ideal candidate will have a strong background in AI, Machine Learning, and Data Science, with proven expertise in Generative AI applications. They will be responsible for building and deploying machine learning pipelines, collaborating with cross-functional teams, and researching emerging trends and tools.
Key Responsibilities:
- Design and implement Generative AI models for tasks such as text, code, image, and data generation.
- Apply prompt engineering and fine-tuning techniques to optimize performance of large language models.
- Work with frameworks such as LangChain, Hugging Face, OpenAI APIs, and vector databases.
- Build and deploy ML pipelines for training, validation, and deployment of GenAI models.
- Collaborate with data scientists, ML engineers, and product teams to integrate GenAI solutions into business applications.
- Research and stay updated on emerging GenAI trends, tools, and frameworks.
- Ensure model performance, scalability, and ethical AI practices in deployment.
Required Skills & Qualifications:
- 6–8 years of experience in AI, Machine Learning, and Data Science.
- 2–3 years of hands-on experience in Generative AI.
- Strong proficiency in Python and ML libraries (TensorFlow, PyTorch, Scikit-learn).
- Experience with LLMs (e.g., GPT, LLaMA, Falcon) and NLP techniques.
- Familiarity with vector databases (Pinecone, Weaviate, FAISS, Qdrant).
- Strong understanding of data preprocessing, feature engineering, and model evaluation.
- Hands-on experience with cloud platforms (AWS, Azure, GCP) for AI/ML deployments.
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