Data Model Architect

1 day ago

Noida, Uttar Pradesh, India beBeeArtificialintelligence Full time US$ 1,80,000 - US$ 2,50,000

Job Title: Advanced AI/ML Strategist

We are seeking a highly skilled and experienced individual to spearhead the design, development, and deployment of advanced artificial intelligence and machine learning models. This role requires a strategic thinker with a deep understanding of ML algorithms, model optimization, and production-level AI systems.

The selected candidate will work on statistical analysis, data modeling, and interpreting large sets of data. They should possess a strong background in data analysis, statistics, programming, and machine learning algorithms, enabling them to design innovative AI models that can extract valuable insights and patterns from vast amounts of data.

About the Role:

The successful candidate will be responsible for designing and developing cutting-edge applications powered by large language models (LLMs). This tool will provide market analysis and generate high-quality, data-driven periodic insights.

Key Responsibilities:

  • Design and develop LLM-based systems for automated market analysis.
  • Build data pipelines to ingest, clean, and structure data from multiple sources.
  • Fine-tune or prompt-engineer LLMs to generate concise, insightful reports.
  • Collaborate closely with domain experts to integrate industry-specific context and validation into model outputs.
  • Implement robust evaluation metrics and monitoring systems to ensure quality, relevance, and accuracy of generated insights.
  • Develop and maintain APIs and/or user interfaces to enable analysts or clients to interact with the LLM system.
  • Stay up-to-date with advancements in the GenAI ecosystem and recommend relevant improvements or integrations.
  • Participate in code reviews, experimentation pipelines, and collaborative research.

Requirements:

  • Strong fundamentals in machine learning, deep learning, and natural language processing (NLP).
  • Proficiency in Python, with hands-on experience using libraries such as NumPy, Pandas, and Matplotlib/Seaborn for data analysis and visualization.
  • Experience developing applications using LLMs.
  • Familiarity with frameworks like Hugging Face Transformers, LangChain, LlamaIndex, etc.
  • Experience building ML models along with familiarity in training and validating models.
  • Practical understanding of deep learning frameworks: TensorFlow or PyTorch.
  • Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and LLM evaluation strategies.
  • Experience working with REST APIs, data ingestion pipelines, and automation workflows.

Preferred Qualifications:

  • Familiarity with the chemical or energy industry, or prior experience in market research/analyst workflows.
  • Exposure to frameworks such as OpenAI Agentic SDK, CrewAI, AutoGen, SmolAgent, etc.
  • Experience deploying ML/LLM solutions to production environments.
  • Hands-on experience with vector databases such as FAISS, Weaviate, Pinecone, or ChromaDB.
  • Experience with dashboarding tools and visualization libraries.
  • Exposure to cloud platforms, including usage of GPU instances and model hosting services.

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