Master Data Architect

1 day ago

Jodhpur, Rajasthan, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title: Master Data Architect

As a key member of our team, you will be responsible for designing and developing advanced machine learning and deep learning models to solve complex business problems. You will work with both structured and unstructured data, leveraging your expertise in cloud platforms and full-stack development to create scalable solutions.

The successful candidate will have experience with large-scale data processing, knowledge representation, and reasoning. They will also have expertise in ontology engineering, rule-based systems, and human-computer interaction.

Key Responsibilities:
  • Design and develop advanced machine learning and deep learning models using TensorFlow, PyTorch, and Keras.
  • Implement and optimize Large Language Models (LLMs) and Generative AI solutions for real-world applications.
  • Build agent-based AI systems with autonomous decision-making capabilities.
  • 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.
  • Agentic AI: Knowledge of multi-agent systems, reinforcement learning, and autonomous agents.
Required Qualifications:
  • Masters 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.
Benefits:
  • Competitive salary package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.
  • Access to the latest technology and tools.
Others:
  • 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.
  • Cloud Platforms: AWS (SageMaker, EC2, S3, Lambda).
  • Vector databases and embeddings (Pinecone, Weaviate, Chroma).
  • Knowledge of LangChain, LlamaIndex, or similar LLM frameworks.

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