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Chief AI Architect
2 weeks ago
This is a Data Science role that focuses on driving business growth through data-driven insights.
- We are looking for an expert in AI/ML Development & Research to join our team.
- The ideal candidate will have experience with Cloud Infrastructure & Full-Stack Development and be able to architect scalable, cloud-native ML/AI solutions.
- Strong skills in Large Language Models and Generative AI are also required.
- Familiarity with Databases, including SQL and NoSQL databases, is essential.
This role involves working with cross-functional teams to develop solutions that align with organizational goals.
Key Responsibilities:
- Design, develop, and deploy advanced machine learning and deep learning models.
- Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
- Conduct cutting-edge research on emerging AI technologies and explore their practical applications.
- Perform model evaluation, validation, and continuous optimization to ensure high performance.
Technical Skills:
- Machine Learning: Proficient in Scikit-learn, XGBoost, LightGBM, and advanced ML algorithms.
- Deep Learning: Expertise in TensorFlow, PyTorch, Keras, CNNs, RNNs, LSTMs, and Transformers.
- Large Language Models: Experience with GPT, BERT, T5, fine-tuning, and prompt engineering.
- Generative AI: Hands-on experience with Stable Diffusion, DALL-E, text-to-image, and text generation models.
Requirements:
- Master's or PhD in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- 5+ years of hands-on experience in data science and machine learning, with a focus on real-world applications.
- 3+ years of experience working with deep learning frameworks and neural networks.
- 2+ years of experience with cloud platforms and full-stack development.
Non-Negotiables:
- Cloud Infrastructure - ML/AI solutions on AWS, Azure, or GCP
- Build and maintain ML pipelines using cloud services (SageMaker, ML Engine, etc.)
- Implement CI/CD pipelines for ML model deployment and monitoring
- Work with both SQL and NoSQL databases (PostgreSQL, MongoDB, Cassandra, etc.)
- Machine Learning: Scikit-learn
- Deep Learning: TensorFlow
- Programming: Python (expert), R, Java/Scala, JavaScript/TypeScript
- Vector databases and embeddings (Pinecone, Weaviate, Chroma)
- Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.
This role offers a unique opportunity to work on innovative AI/ML projects and collaborate with experienced professionals in the field. If you're passionate about data science and AI, please apply by sharing your resume.