Data Analyst

6 days ago

Davangere, Karnataka, India beBeeDataAnalyst Full time ₹ 12,00,000 - ₹ 15,00,000
Job Title: Data Analyst

 

Overview of the Role:

We are seeking a highly skilled professional to lead the development, deployment, and scaling of intelligent systems.

The ideal candidate will bring hands-on expertise in machine learning algorithms, vector databases, and cloud-native applications.

A deep understanding of the mechanics, ethical considerations, and trade-offs involved in deploying AI technologies in production environments is essential.

Key Responsibilities:

  • Design, prototype, and deploy AI-enabled applications with a focus on modularity, scalability, and maintainability.
  • Develop and fine-tune pipelines tailored for enterprise or product-based use cases, optimizing for retrieval relevance and accuracy.
  • Work with unstructured data — documents, transcripts, APIs — and transform them into structured knowledge systems using embeddings and vector stores.
  • Evaluate and select appropriate tools and frameworks, balancing performance, latency, cost, and data security.
  • Monitor application behavior and refine logic, model selection, and context engineering to enhance response quality.
  • Identify and communicate system edge cases and risks — including bias, prompt injection, and model over-reliance.
  • Stay current with cutting-edge AI research, frameworks, and methodologies, and assess their potential for production use.
  • Collaborate with cross-functional teams to integrate intelligent features seamlessly.
  • Document technical decisions, model behavior, system limitations, and assumptions in a clear manner.

Required Skills & Experience:

  • 3–4 years of hands-on experience in AI/ML, data engineering, or full-stack development, with a strong foundation in intelligent system design.
  • Deep understanding of Large Language Models (LLMs) — including concepts like embeddings, transformers, token limits, and memory strategies.
  • Proven experience implementing pipelines and working with vector databases.
  • Familiarity with frameworks and orchestration tools such as LangChain or similar.
  • Proficiency in Python and experience developing backend logic and integrating with APIs.
  • Awareness of ethical and security concerns in AI — including safety, fairness, and responsible deployment.
  • Ability to assess and articulate trade-offs in system design.

Preferred Qualifications (Nice to Have):

  • Exposure to open-source LLMs and toolkits.
  • Experience with evaluation metrics, benchmarking, or implementing human-in-the-loop feedback systems.
  • Familiarity with AI observability, logging, and monitoring best practices.

Benefits:

  • Competitive compensation and bonuses
  • Opportunities for learning, research, and career growth in AI technologies
  • Collaborative work environment

Skills:

  1. Generative AI
  2. Python
  3. API integration
  4. AI/LM

 

Join us in shaping the future of AI and take your career to the next level

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